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Urinary Tubular Biomarkers in Canine Myxomatous Mitral Valve Disease: Early Indicators of Alterations in the Cardiovascular-Renal Axis

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26 January 2026

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28 January 2026

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Abstract
Myxomatous mitral valve disease (MMVD) is the most common acquired heart valve disease in dogs and it may contribute to cardiovascular-renal axis disorders (CvRD) in dogs. Sensitive and early biomarkers of renal involvement are needed. In this prospective and observational study, 84 dogs were enrolled (20 healthy dogs and 64 dogs with MMVD, categorized using the American College of Veterinary Internal Medicine guidelines. Serum and urinary parameters were analyzed, including tubular biomarkers expressed as creatinine-ratios: urinary alkaline phosphatase (uALPc), gamma-glutamyl transferase (uGGTc), N-acetyl-β-D-glucosaminidase (uNAGc) and cystatin C (uCystc). uALPc, uGGTc and uNAGc were higher in MMVD than in controls; uALPc and uGGTc were increased from stage B1, uNAGc was higher in stages with cardiomegaly (B2 and C+D), and uCystc increased mainly in clinical stages (C+D). Serum renal markers increased only in clinical stages. ROC analysis showed good discrimination for MMVD with uALPc (AUC 0.87) and uGGTc (0.86); for cardiomegaly with uALPc (0.77) and uNAGc (0.75); and for congestive heart failure with SDMA (0.85) and uCystc (0.75). No urinary biomarker was associated with daily furosemide dose. Urinary tubular biomarkers, particularly uALPc and uGGTc, detect early CvRD in dogs with MMVD and complement traditional serum markers.
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1. Introduction

Myxomatous mitral valve disease (MMVD) is an acquired cardiac disorder that represents approximately 75% of all heart diseases in dogs and is therefore the most prevalent cardiac disease in this species [1]. It is a slowly progressive condition, most commonly observed in small-breed, elderly dogs (mean age at onset approximately 9.5 years). The most characteristic clinical finding is the detection of a heart murmur on auscultation [2]. Although its aetiology has not been fully determined, a genetic influence is thought to contribute to its development. The clinical presentation in affected dogs is highly variable, ranging from asymptomatic individuals to severe cases with collapse, exercise intolerance, and dyspnoea associated with congestive heart failure (CHF) [3]. Dogs with CHF require chronic treatment, such as daily diuretics [1].
Since it is a chronic cardiac disease [1], affected dogs may develop cardiovascular-renal axis disorders (CvRD) secondary to chronic cardiac disease (CvRDCH) [4]. This has been documented as changes in serum and urinary biomarkers of renal damage and function [5,6,7,8,9], which in some cases are already detectable in the preclinical stages of the disease and tend to increase with disease progression [5,8,9].
There are several theories regarding the progression of renal involvement in CvRDCH. Some suggest sustained kidney injury due to low cardiac output and renal venous congestion, whereas others propose repeated episodes of acute kidney injury (AKI) over time caused by intermittent cardiac decompensation [10,11]. In addition, the use of diuretics and other drugs as chronic cardiac treatment may contribute to or exacerbate renal damage [4].
For the detection and staging of renal disease, whether acute or chronic, the guidelines of the International Renal Interest Society (IRIS) recommend the use of serum biomarkers such as creatinine (sCr) and symmetric dimethylarginine (SDMA) [12]. However, these biomarkers typically remain within the reference interval until approximately 75% and 40% of nephron mass have been lost, respectively [13,14]. Serum cystatin C (sCyst) has been described as an earlier biomarker of chronic kidney disease (CKD) compared to SDMA and sCr [15,16]. Therefore, the search for more sensitive early biomarkers is a priority [10,16]. New renal biomarkers could facilitate disease monitoring and the management of therapeutic targets to reduce the impact of CvRD [10,17].
In 2015, the consensus statement on CvRD by Pouchelon et al. proposed several potential future urinary biomarkers, some of which have not yet been described in veterinary medicine in this context [4]. These include urinary N-acetyl B-D-glucosaminidase (uNAG), a lysosomal enzyme of tubular cells; urinary gamma-glutamyl transferase (uGGT), a brush-border enzyme of tubular cells; and urinary cystatin C (uCyst), a low molecular weight protein. In addition, other brush-border enzymes, such as urinary alkaline phosphatase (uALP), have been evaluated as renal biomarkers [13]. All of these are urinary biomarkers of tubular damage and/or function, studied mainly in the context of AKI [13,18], with the exception of uCyst, whose use has focused primarily on CKD [18]. To the authors' knowledge, none of these urinary biomarkers has been studied in MMVD, despite reports of renal tubular damage in this condition [5].
In human medicine, these biomarkers are also used to detect tubular damage [19]. They have been described in the context of cardiovascular-renal syndrome. For example, uGGT and uALP have been used in diabetes mellitus for the detection of diabetic nephropathy [20], whereas uCyst has served as a biomarker of renal injury in patients with CHF [21]. Furthermore, uNAG has demonstrated independent prognostic value in patients with heart failure [22], particularly in those with mitral regurgitation [23].
The aim of the present study is to determine uNAG, uGGT, uCyst and uALP in dogs with stable MMVD (1), to compare them with a control group of healthy dogs (2), and to compare them according to the American College of Veterinary Internal Medicine (ACVIM) classification (3), thereby assessing their potential for the early diagnosis of CvRDCH. The main hypothesis is that these biomarkers are altered from the early stages of the disease and that their increase is linked to disease progression.

2. Materials and Methods

2.1. Animals

This prospective, observational, descriptive, cross-sectional study was performed at the University of Extremadura, Spain. All owners approved and signed an informed consent form. The dogs included were referred, or presented as primary patients, to the cardiology services of the Veterinary Teaching Hospital of the University of Extremadura between February 2023 and October 2025. Because the samples required for this study were obtained during routine health check-ups, the Animal Experimentation Ethics Committee of the University of Extremadura determined that this work could not be considered animal experimentation, in accordance with Royal Decree 53/2013 (Spain).
A total of 84 dogs were enrolled and allocated into two groups: control group (20 healthy dogs) and MMVD group (64 dogs affected by MMVD). The control group consisted of healthy dogs that presented to the hospital for annual check-ups or elective neutering. Inclusion criteria included being older than one year, an unremarkable physical examination, normal blood and urinalysis, and no history of clinical signs or pharmacological treatment during the previous 6 months; antiparasitic treatments and vaccinations were permitted.
Dogs were diagnosed with MMVD according to the following criteria: identification of mitral regurgitation associated with mitral valve thickening or prolapse on echocardiography. All echocardiographic examinations were conducted by an experienced cardiologist. Dogs meeting these requirements were included in the MMVD group and subclassified according to the ACVIM guidelines [1]. Asymptomatic dogs without echocardiographic evidence of cardiomegaly were assigned to the B1 group; asymptomatic dogs with echocardiographic evidence of left-sided cardiac enlargement were assigned to the B2 group; dogs that had experienced clinical signs consistent with congestive heart failure were assigned to the C group; and finally, dogs that required, in addition to standard therapy, a daily dose of ≥8 mg/kg of furosemide for adequate control were assigned to the D group. Patients in the B2 group were enrolled only if they had not received prior treatment. Patients in symptomatic stages (C and D) were included only in the absence of clinical, radiographic or echocardiographic evidence of decompensated congestive heart failure. For statistical purposes, groups C and D were pooled into a single category (C+D group) owing to the limited number of dogs in stage D.
Exclusion criteria included: evidence of urinary pathology or active urinary sediment (> 5 erythrocytes/hpf; > 5 leukocytes/hpf), presence of sperm in the urine, recent administration of nephrotoxic drugs (e.g., nonsteroidal anti-inflammatory drugs), the presence of concomitant systemic diseases such as neoplastic disease, endocrinopathies, infectious disease, or IRIS stage 3 or 4 chronic kidney disease, and the presence of other cardiac conditions (congenital or acquired). Mild pulmonary and aortic insufficiency, as well as tricuspid valve degeneration with or without signs of pulmonary hypertension, were also permitted. Arrhythmias associated with MMVD, as well as their treatment, were allowed. All medications commonly used for MMVD were permitted in the C+D group, including pimobendan, angiotensin-converting enzyme inhibitors (ACEIs), spironolactone and loop diuretics.
Along with the general physical examination, systolic blood pressure (SBP) was measured using a non-invasive ultrasonic Doppler device (Eickemeyer Veterinary Equipment, London, UK), in accordance with the current consensus guidelines for systemic hypertension in dogs [24]. A detailed cardiac auscultation was also performed, and heart murmurs were graded on a six-level scale (I-VI) [3,25].

2.2. Clinical Pathology Testing

To minimize the effect of feeding, 5 mL of blood was collected by jugular venipuncture after a 12-hour fast. One milliliter was used for haematological determinations (EDTA-K3 tube), and the remaining volume was allowed to clot for one hour in serum tubes; subsequently, the serum was collected for biochemical determinations.
Immediately after collection, haematological analyses were performed using an automated analyser (Element HT5™; Antech Diagnostics, USA). The measurements obtained included red blood cell count (RBC), haemoglobin concentration (HGB), haematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular haemoglobin concentration (MCHC), white blood cell count (WBC), differential leukocyte count (neutrophils, eosinophils, lymphocytes, and monocytes), and platelet count.
Serum biochemical measurements were obtained using an automated analyser (Spin200E, Spinreact®, Barcelona, Spain) within one hour post serum separation. The parameters measured included glucose, albumin, globulins, sCr, urea, calcium, phosphorus, cholesterol, sodium (Na), potassium (K), chloride (Cl), alkaline phosphatase (ALP) and alanine aminotransferase (ALT). SDMA was determined using a Catalyst Dx Chemistry Analyzer (IDEXX® Laboratories, Inc, Westbrook, ME). Using a latex turbidimetric commercial kit (Cystatin C turbilatex; Spinreact®, Barcelona, Spain) sCyst was measured; this technique was previously validated [26] and verified in our laboratory for the commercial assay used [27].
Three millilitres of urine were collected by ultrasound-guided cystocentesis. A urinalysis was performed using reagent strips (Multistix Reagent Strips®, Bayer Corporation, Madrid, Spain) and evaluated with an automated reader (Spinreact®, Spain). Half a millilitre was reserved for urine culture. The remaining volume was centrifuged at 130 g for 5 minutes, and the sediment was examined microscopically under a 40× objective.
The supernatant was separated for the determination of urine specific gravity using a previously calibrated refractometer (ZUZI 300®). Immediately thereafter, urinary protein concentration was measured using the pyrogallol-molybdate red technique, and creatinine concentration (uCr) was determined using the Jaffé reaction (RAL Diagnostics®, SA, Barcelona, Spain). Lastly, uGGT and uALP were determined with an automated biochemical analyser (Spin200E, Spinreact®, Barcelona, Spain), following the manufacturer’s recommendations.
Urinary concentrations of chloride, sodium and potassium were measured using an automated analyser (MEDICA®) immediately after sample collection. Fractional excretions (FE) of the three electrolytes were subsequently calculated using the formula: FE(x) (%) = (uX × sCr) / (sX × uCr) × 100, where uX represents the urinary concentration of the electrolyte and sX the corresponding serum concentration.
Until the determination of uNAG and uCyst (within one month after collection), the supernatant was stored frozen at -20 °C. uCyst and uNAG were measured using commercial kits (Cystatin C turbilatex; Spinreact®, Barcelona, Spain and Diazyme® Laboratories, USA, respectively) programmed on an automated biochemical analyser (Spin200E, Spinreact®, Barcelona, Spain). uNAG, uGGT, uCyst and uALP values were expressed as ratios to uCr: uNAGc, uGGTc, uCystc and uALPc, respectively.

2.3. Statistical Analyses

Normality of continuous variables was assessed with the Shapiro-Wilk test and homogeneity of variances with Levene’s robust test for equality of variances. Depending on the distribution, data are presented as mean ± standard deviation (SD) or median and interquartile range (IQR).
Comparisons between dogs with MMVD and controls were performed using the non-parametric Mann-Whitney U test. Comparisons among MMVD subgroups (B1, B2, and C+D) and the control group were carried out using one-way analysis of variance (ANOVA) for variables with normal distribution and homogeneous variances, or the Kruskal-Wallis test for non-normally distributed variables; when the global test was significant, Bonferroni-adjusted post hoc pairwise comparisons were applied.
Correlations between the variables studied were evaluated using Spearman’s rank correlation coefficient. The association between daily furosemide dose and renal biomarkers (sCr, SDMA, sCyst, uALPc, uGGTc, uNAGc, and uCystc) was assessed by linear regression in dogs receiving furosemide (group C+D). To assess the discriminatory ability of the renal biomarkers, the area under the ROC curve (AUC), sensitivity, specificity, 95% confidence intervals and optimal cut-off values were calculated for three different comparisons: (1) the MMVD group versus the control group, to evaluate their overall diagnostic potential; (2) dogs with cardiomegaly (B2 + C+D) versus dogs without cardiomegaly (B1 + control), to explore their ability to discriminate cardiac remodeling; and (3) clinical versus preclinical stages, to assess their ability to detect the development of CHF. Results were considered significant if p < 0.05. Statistical analyses were performed using Stata 17 (StataCorp LLC, College Station, TX, USA).

3. Results

Eighty-four dogs were enrolled in the study. Twenty dogs comprised the control group of healthy individuals of various breeds, including 14 males and 6 females, of which 2 males and 1 female were intact. The remaining 64 dogs constituted the MMVD group, composed of dogs affected by MMVD. This group included 39 males and 25 females of different breeds, with 20 males and 13 females being intact. Dogs in the MMVD group were classified according to the ACVIM consensus [1], into stage B1 (n = 21), stage B2 (n = 17), and stages C+D (n = 26).
The mean age (± SD) of the control group was 3.55 ± 2.24 years, which was significantly lower than that of groups B1 (10.29 ± 2.20 years), B2 (11.21 ± 2.94 years), and C+D (11.13 ± 1.99 years) (p < 0.001). The median body weight of the dogs in group C+D (8 kg; IQR: 4.85-16.9) was significantly lower than that of the control group (15 kg; IQR: 8.4-22) and group B2 (8.8 kg; IQR: 5.9-16.3) (p < 0.02); no differences were observed compared with group B1 (7.2 kg; IQR: 4.8-15.5).
At enrolment, none of the dogs in groups B1 and B2 were receiving treatment. In group C+D, all dogs (100%) were receiving furosemide, 96.1% pimobendan, and 53.8% both benazepril and spironolactone.
No statistically significant differences in SBP were observed among groups B1, B2, and C+D; median (IQR) values were 150 (140-157.5), 140 (135-160), and 142.5 (132.5-150) mmHg, respectively.
Auscultation revealed a progressive increase in murmur intensity with advancing clinical stage. In group B1, the most frequent murmurs were grade II/VI and III/VI (38.2% and 42.8%, respectively), whereas grade I/VI and IV/VI were less prevalent (14.3% and 4.7%, respectively). In group B2, murmurs of grade III/VI (35.3%), IV/VI (29.4%), and V/VI (29.4%) predominated, with grade VI/VI being less frequent (5.9%). In group C+D, the most prevalent murmurs were grade V/VI (42.3%), followed by grade IV/VI (30.8%), VI/VI (15.4%), and III/VI (11.5%).

3.1. Haematology

Haematologic analysis results are shown in Table 1. A significant decrease in RBC was observed in group C+D compared with controls, and HGB and HCT were significantly lower in group C+D than in groups B1 and controls; however, only 11.5% of dogs in group C+D had HGB below the reference range (13.1 g/dL). MCV and MCHC did not differ significantly among groups.
Regarding leukocytes, a trend toward a stress leukogram was noted in clinical stages (C+D). WBC and monocyte counts were significantly higher in group C+D compared with other groups. Neutrophil counts were significantly higher in all MMVD groups compared with controls, with a more marked increase as disease progressed; conversely, lymphocyte counts were significantly reduced in all MMVD groups compared with controls. Finally, eosinophil counts were significantly lower in group C+D compared with controls, and platelet counts were significantly higher in groups B2, and C+D compared with controls.

3.2. Plasma Biochemical Parameters

Serum biochemistry results are shown in Table 2. Glucose concentrations were significantly higher in all MMVD subgroups compared with controls. Total protein levels were higher in all MMVD subgroups, reaching statistical significance in groups B1 and C+D; this was mainly due to an increase in globulins, which was significant only in group C+D. Albumin, calcium, cholesterol, sodium, and ALT did not differ significantly among groups.
Serum phosphorus was significantly higher in the control and C+D groups than in groups B1 and B2. Regarding electrolytes, chloride was significantly higher in group B2, and potassium was significantly lower in all diseased groups compared with controls, resulting in a significantly higher Na/K ratio in MMVD groups. Alkaline phosphatase was significantly higher in stage B2 compared with controls.
Markers of renal function showed that urea and SDMA were significantly increased in group C+D compared with other groups; moreover, SDMA in group B1 was significantly lower than in controls. Serum creatinine was significantly higher in group C+D compared with group B1, and sCyst was significantly higher in group C+D than in controls.

3.3. Urinalysis

Urinalysis results are presented in Table 3 and Table 4. Urine pH did not differ significantly among groups. Urine specific gravity decreased progressively across stages, reaching statistical significance from stage B2 onward; group C+D showed the lowest values compared with the other groups. UPC was significantly increased in all MMVD subgroups. Urinary creatinine was significantly lower in group C+D than in other groups.
Tubular biomarkers expressed as a ratio to uCr showed a progressive increase across disease stages for uGGTc and uALPc, with uALPc being significantly higher in clinical stages compared with B1. uNAGc was significantly higher in groups C+D and B2 than in controls and B1, whereas uCystc showed a significant increase only in clinical stages compared with other groups (Figure 1).
When tubular biomarkers were compared between healthy dogs and the MMVD group, uGGTc, uALPc, and uNAGc were significantly higher in the MMVD group, whereas no significant difference was found for uCystc (Figure 1).
Fractional excretions of electrolytes revealed that FE Cl was significantly higher in group C+D than in B1; FE Na was significantly higher in group C+D than in controls and B1; and FE K was significantly higher in group C+D than in all other groups.

3.4. Receiver Operating Characteristic Curves

Regarding the ROC curves calculated, for MMVD vs controls, the biomarkers with the highest AUCs were uALPc (AUC = 0.87), uGGTc (AUC = 0.86) and uNAGc (AUC = 0.69). For the presence of cardiomegaly, uALPc (AUC = 0.77), uNAGc (AUC = 0.75), and uGGTc (AUC = 0.74) were the most informative. For clinical vs preclinical stages, SDMA (AUC = 0.85), sCr (AUC = 0.76), and uCystc (AUC = 0.75) showed the best discriminative ability. Detailed AUC values, sensitivity, specificity, and cut-off points are presented in Table 5.
Overall, these findings indicate that urinary tubular biomarkers, particularly uALPc and uGGTc, provide superior discriminatory performance for MMVD detection and progression compared with traditional serum markers (Figure 2).

3.5. Correlation and Regression Analyses

No significant association was detected between any renal biomarkers (sCr, SDMA, sCyst, uALPc, uGGTc, uNAGc, and uCystc) and the daily furosemide dose (R² = 0.07, p = 0.188; R² = 0.03, p = 0.39; R² = 0.11, p = 0.10; R² = 0.02, p = 0.517; R² = 0.001, p = 0.871; R² = 0.06 p = 0.99; and R² = 0.00, p = 0.214, respectively).
No significant correlations were observed between serum renal biomarkers and urinary tubular biomarkers. Within the tubular biomarkers, a strong positive correlation was found between uALPc and uGGTc (r = 0.673; p < 0.01). Moderate positive correlations were identified between uNAGc and uGGTc (r = 0.312; p < 0.01), uNAGc and uCystc (r = 0.305; p < 0.01), uNAGc and uALPc (r = 0.284; p < 0.05) and uALPc and uCystc (r = 0.225; p < 0.05).
UPC exhibited a strong positive correlation with uGGTc (r = 0.546; p < 0.01) and a moderate positive correlation with uALPc (r = 0.496; p < 0.01). Finally, a moderate negative correlation was observed between HGB and sCyst (r = -0.312; p < 0.01) and between HGB and uCystc (r = -0.290; p < 0.01) (Table 6).

4. Discussion

The present study aimed to evaluate urinary tubular biomarkers (uGGT, uALP, uCyst and uNAG) in clinically stable dogs with MMVD to determine their potential as early indicators of CvRDCH and to assess the prevalence of tubular alterations across different disease stages.
CvRD, analogous to cardiorenal syndrome in human medicine [28], are defined as structural or functional kidney and/or cardiovascular abnormalities triggered by disease, toxins, or drugs that disrupt the physiological interplay between both organs, leading to dysfunction in one or both [4]. Within this framework, MMVD is considered part of the CvRD spectrum as a chronic cardiovascular condition that secondarily affects renal function [29]. An increased prevalence of CKD has been reported in dogs with MMVD, which rises as the disease progresses [30,31]. Moreover, MMVD has been identified as a risk factor for CKD progression in dogs affected by both conditions [32].
In human medicine, CKD is a negative prognostic factor in patients with mitral regurgitation [23], and in veterinary medicine, elevations in renal biomarkers such as urea, sCr, and sCyst have been associated with worse outcomes in MMVD [33,34]. Conversely, the development of azotaemia has not been shown to significantly impact survival in dogs with CHF—whether of mixed aetiologies or specifically due to MMVD—at 1 month [35] and 3 months [36], respectively, after the onset of congestive heart failure. Similarly, another study reported no differences in sCr between dogs with MMVD that survived or died within 6 months after sampling [37]. Taken together, these findings remain inconsistent and do not yet support a definitive conclusion regarding the prognostic value of conventional renal biomarkers.
Anaemia plays an important role in CvRD, as it can induce tissue hypoxia, leading to cellular injury at both renal and cardiac levels [29]. In human medicine, the concept of cardiorenal-anaemia syndrome has been proposed, underscoring its clinical relevance [38]. While anaemia is common in dogs with CKD [39], it is not typically observed in MMVD [40,41].
In the present study, although the prevalence of anaemia (HGB < 13.1 g/dL) was low, —0, 11, and 11.5% in groups B1, B2, and C+D, respectively—, a significant reduction in HGB, RBC, and HCT was noted in clinical stages. This may suggest a tendency toward anaemia without overt haematologic changes. This observation aligns with previous findings, which have been associated with a correlation between markers of iron deficiency and echocardiographic measurements in MMVD, suggesting that anaemia may develop over time despite initially normal haematologic profiles [41]. Another study also reported differences in HGB and HCT between advanced and early stages; with higher anaemia prevalence in late-stage disease compared with our findings [40]. However, other authors have found no significant differences in RBC, HCT [37,42] or HGB across MMVD stages [37], indicating heterogeneity in the literature.
Moreover, anaemia has been described as a negative prognostic factor, correlating with increased sCr and clinical stage [40], highlighting its importance within the CvRD. In contrast, our study revealed only a moderate negative correlation between HGB and both sCyst and uCystc, suggesting that, although MMVD may predispose to anaemia and renal injury, the relationship between these processes was limited. Furthermore, a recent study reported no differences in these parameters between dogs that survived or had died within 6 months [37].
Finally, more than half of the dogs in group C+D were receiving benazepril, and all those with decreased HGB were on this treatment. As an angiotensin-converting enzyme inhibitor, benazepril reduces angiotensin II, which promotes erythropoiesis, likely via increased erythropoietin levels [43]. Inhibition of this pathway has been linked to anaemia in humans and cats [44]. Therefore, benazepril may represent one of the factors underlying the trend toward anaemia observed in dogs with MMVD.
Regarding leukocyte profiles, as previously reported, a trend toward a stress leukogram was observed, with increased total leukocytes [9,45,46], neutrophils and monocytes [45,46] and decreased lymphocytes [45], more pronounced in clinical stages. Eosinophils reduction had not been previously documented and adds to the stress leukogram [47]. Guglielmini et al. reported lower WBC counts in dogs that survived than in those that died within 6 months [37], suggesting a potential prognostic impact. Thrombocytosis has also been reported [45] and, together with these changes, reflects inflammatory haematologic alterations in dogs with MMVD, supporting the role of inflammation in the pathogenesis of the disease [48].
Assessment of renal function in MMVD has relied on blood parameters such as sCr, SDMA, and sCyst, which reflect changes in functional renal mass and indirectly estimate glomerular filtration rate (GFR) [14,26,49]. These markers typically increase in the clinical stages [5,7,8,9,31,50], consistent with our findings for serum sCr, SDMA, and sCyst suggesting reduced GFR in advanced disease. Given patients´ age, some changes may reflect pre-existing CKD, whose prevalence rises with age [51]. However, subgroup ages did not differ significantly, and CKD is more prevalent in dogs with MMVD than in those without cardiac disease [31], suggesting the changes are more likely attributable to MMVD and CvRD than age alone.
Urinalysis revealed a significant increase in UPC across all MMVD stages, consistent with reports in advanced stages [7]. However, no stage-dependent differences were observed, contrasting with earlier findings [5]. Only 15% of MMVD dogs were proteinuric (UPC > 0.5), which may relate to patient age, as similar proteinuria prevalence has been documented in apparently healthy geriatric dogs [52]. Importantly, proteinuria did not worsen with disease progression in our cohort.
FE Na, FE K, and FE Cl increased significantly in clinical stages, consistent with furosemide inhibition of the Na⁺-K⁺-2Cl⁻ cotransporter in the loop of Henle, reducing electrolyte reabsorption and enhancing urinary excretion [53]. FE values are influenced by the interval between furosemide administration and sample collection. A recent study demonstrated higher FE Na, FE Cl, and FE K shortly after drug administration compared with later intervals, with morning samples showing the highest values [54]. As our patients were evaluated in the morning, our FE values match those reported for the morning group in that study.
Few studies have assessed urinary biomarkers in MMVD, and only one tubular damage biomarker, urinary neutrophil gelatinase-associated lipocalin (uNGAL), has been reported [5]. uNGAL is a protein normally filtered by glomerulus and reabsorbed by the tubule, but proximal or distal tubular injury increases its synthesis and secretion, elevating urinary concentrations [55]. Additional CvRD-related biomarkers should be investigated to improve understanding of tubular pathophysiology in MMVD [4].
uGGT and uALP are brush-border enzymes released into urine after loss of cytoplasmic membrane integrity, indicating proximal tubular injury [56]. Both biomarkers can be measured using standard serum/plasma techniques, making them inexpensive and readily applicable in clinical practice [55]. uNAG is a lysosomal enzyme present in proximal tubular cells normally excreted via lysosomal fusion with the cell membrane. Increased urinary NAG may reflect lysosomal system activation [57] or tubular damage leading to lysosomal release [56], and it is a mixed-type marker. Proximal tubular cells are metabolically very active and prone to early damage [58]. In the absence of tubular injury, urinary concentrations of these enzymes remain very low [56].
Increases in these three biomarkers are mainly reported in AKI [13,18,59] and they have been correlated with proximal tubular histopathological changes in bitches with pyometra confirmed by renal biopsy [60]. uNAG and uGGT have also been described in CKD, with early elevations in canine leishmaniosis [61,62]. However, Nivy et al. did not detect differences in uGGT and uALP between healthy dogs and those with CKD [63], and Smets et al. reported substantial overlap in uNAG values between dogs with and without CKD [64]. This may reflect the fact that not all CKD cases exhibit persistent tubular involvement over time. Following an insult that leads to CKD, once tubular injury subsides, these biomarkers may return to baseline [65].
In canine MMVD, tubular damage is present from the earliest stages of disease, as demonstrated by increases in uNGAL [5]. This aligns with our uGGTc and uALPc findings, which showed elevations from stage B1 and exhibited good discriminatory ability between dogs with MMVD and healthy controls, based on ROC curve performance. Furthermore, a strong positive correlation was observed between uGGTc and uALPc, consistent with their shared localization in tubular cells [56] and similar interpretation of their increase. Notably, uALPc not only increased in early stages but also demonstrated a significant additional rise in advanced stages compared with initial stages, indicating disease progression, similar to uNGAL [5]. The moderate positive correlations between UPC and both uALPc and uGGTc are consistent with previous findings on uNGAL in dogs with MMVD [5] and may relate to low-grade proteinuria secondary to impaired proximal tubular reabsorption [66]. It is unlikely that uALP and uGGT originate from inappropriate passage across the glomerular barrier, given their large molecular size [56].
Conversely, uNAGc was significantly increased in stages associated with cardiomegaly, a distinction not observed for the other biomarkers in this study nor for uNGAL in Troia et al [5]. This is supported by its moderate ability to discriminate dogs with cardiomegaly from those without. These findings suggest tubular injury in stage B1 is less severe than in B2, as lysosomal enzymes (uNAG) indicate more pronounced damage than brush-border enzymes (uGGT and uALP) due to their intracellular localization [66]. This supports the presence of disease progression, with tubular damage in stage B1 and both tubular damage and dysfunction in stages B2, C and D, becoming progressively more pronounced across stages. Additionally, uNAGc correlated with all three others, reinforcing its role in tubular damage and dysfunction [56,57].
In humans, increases in uNAG and uNGAL have been reported in stable chronic systolic heart failure. Unlike uNGAL, uNAG provided prognostic information independent of GFR, underscoring the relevance of tubular injury itself in this population [22]. More recently, uNAG was found to correlate with CHF stage, outcome, HGB and echocardiographic parameters in patients with CHF and mitral regurgitation [23], supporting uNAG as an important biomarker in cardiorenal syndrome. In contrast, we did not observe a correlation between uNAGc and haemoglobin in our study.
The observed increases in urinary biomarkers without concurrent changes in serum markers during early disease stages highlight their superior ability to detect early renal alterations [55]. In human AKI, tubular injury may occur without sufficient damage to alter GFR [67]. This is relevant in CvRD, where renal impairment may result from intermittent cardiac decompensations causing repeated renal insults or from sustained renal injury driven by persistent cardiac dysfunction [10].
Cystatin C is a protein synthesized at a constant rate by most nucleated cells. It freely passes through the glomerular barrier and is reabsorbed and metabolized by tubular cells. Thus, its urine increase has been associated with tubular dysfunction [68]. It has been studied mainly in CKD, with increases from early stages of canine leishmaniosis [62] and proposed as an early CKD indicator, even in non-azotemic stages [69]. In our study, uCystc showed significant elevation only in clinical stages, possibly reflecting an incipient reduction in GFR already detected by serum markers. This is supported by its moderate ability to discriminate MMVD dogs with stable CHF from those without it. Human patients with acute heart failure and higher proteinuria exhibited greater mortality and higher uCyst concentrations, suggesting an indirect association between uCyst elevation and worse prognosis, likely reflecting more advanced renal dysfunction within the cardiorenal context [70].
Considering optimal cut-off points, serum markers showed minimal variation across the three successive stages of disease progression (MMVD, cardiomegaly and CHF), with SDMA remaining unchanged. In contrast, urinary biomarkers exhibited a clear upward trend in optimal values, indicating progressive tubular alteration as disease advances. Overall AUC values were higher for urinary than serum biomarkers, and they performed better in the preclinical stages, consistent with previous evidence that tubular biomarkers outperform serum biomarkers for early kidney injury detection [16,55]. Serum biomarkers correlated among themselves, as did tubular biomarkers, but no correlations were found between serum and tubular markers, underscoring their distinct clinical significance.
Several mechanisms may contribute to tubular alteration described in CvRDCH. First, hemodynamic factors such as venous congestion and renal hypoperfusion have been implicated [4,28,71]. Venous congestion, assessed indirectly by echocardiography in human and veterinary medicine, has been associated with increased tubular biomarkers in patients with cardiac disease [23,72]. However, in the present study, no differences in SBP were observed between groups, which contrasts with previous findings reporting significant SBP reductions in advanced stages [73], suggesting renal hypoperfusion as a potential contributor. Although human studies have not demonstrated a correlation between tubular biomarkers and SBP, they have shown associations with reduced ejection fraction [23], suggesting renal hypoperfusion secondary to episodic, subclinical cardiac events may occur intermittently [10]. Neurohormonal activation plays a key role, particularly through overactivation of the renin-angiotensin-aldosterone system (RAAS) and sympathetic nervous system [4,28,71]. Current guidelines for canine MMVD, although with a weak level of evidence, strongly recommend angiotensin-converting enzyme inhibitors and spironolactone in clinical stages to inhibit RAAS [1]. Nevertheless, a recent study found no survival benefit in dogs with MMVD receiving these drugs compared to untreated dogs [74], indicating that the role of RAAS in this disease remains under debate. Finally, oxidative stress and inflammation should also be considered [4,28,71], the latter being consistent with our leukogram findings. These mechanisms may be present from the early stages and progress alongside disease severity [10].
Another factor described in CvRDCH is the administration of diuretics during clinical stages, which may induce hypovolemia and stimulate the RAAS, potentially causing or exacerbating renal injury [4,28]. Histopathological changes have been documented in animal models treated with furosemide [75]. However, in the present study, none of the urinary biomarkers showed a significant association with the daily furosemide dose, suggesting that diuretic therapy is unlikely to play a primary role in CvRDCH, consistent with previous reports on uNGAL [5]. Interestingly, human studies have reported that withdrawal of diuretic therapy in patients with CHF led to increases in uNAG, which normalized upon reintroduction of treatment [76]. These observations further support that the biomarker elevations observed in clinical stages are more likely attributable to the aforementioned pathophysiological mechanisms rather than diuretic use.
The present study has several limitations. The control group was not matched for age and body weight with the dogs with MMVD. Because stage D MMVD has low prevalence and poor life expectancy, only a small number of dogs were included and were pooled with stage C, preventing us from determining whether these subgroups behave similarly. The C+D group received not homogenous treatments. Another constraint is the lack of blinding regarding clinical assessments and laboratory analyses. Knowledge of the dogs' group allocation (control or MMVD) may have biased the findings. Finally, despite evaluating several tubular biomarkers, no complementary tests such as urinary protein electrophoresis were performed, which would have allowed us to determine whether the proteinuria reported had a tubular, glomerular, or mixed origin. Likewise, GFR was not directly measured and renal biopsies were not performed to accurately characterize renal status; mainly due to the invasive nature of these procedures, which were probably declined by most owners.

5. Conclusions

In conclusion, dogs with MMVD develop CvRDCH from early stages, and these disorders become more pronounced as the disease progresses, as evidenced by increases in tubular urinary biomarkers (uNAGc, uCystc, uALPc, and uGGTc), the last two of which are technically accessible to any clinician. This increase is not associated with the use of diuretics, underscoring the importance of other pathophysiological connections between the kidney and the cardiovascular system within CvRD. Future investigation of the progression of these alterations and their impact on prognosis will be key to understanding their clinical relevance.

Author Contributions

Conceptualization, P.C.-M., J.I.C. and F.J.D.; methodology, P.C.-M., J.I.C., R.B. and F.J.D.; validation, P.C.-M., J.I.C., R.B., A.E.-D., P.N., P.R., A.D. and F.J.D; formal analysis, P.C.-M. and A.E.-D..; investigation, P.C.-M., J.I.C., R.B., A.E.-D., P.N., P.R., A.D. and F.J.D.; resources, J.I.C., R.B. and F.J.D.; data curation, P.C.-M. and R.B.; writing—original draft preparation, P.C.-M., J.I.C., R.B. and F.J.D.; writing—review and editing, P.C.-M., J.I.C., R.B. and F.J.D.; visualization, J.I.C., R.B. and F.J.D.; supervision, J.I.C., R.B. and F.J.D.; project administration, J.I.C. and F.J.D.; funding acquisition, J.I.C., R.B. and F.J.D. All authors have read and agreed to the published version of the manuscript.

Funding

This work has been co-funded by the European Union, European Regional Development Fund (85 %), and Junta de Extremadura. Managing authority: Ministerio de Hacienda (Spain). Grant GR24094. P.C.-M. is supported by an FPU predoctoral contract (FPU24/02335) from the Spanish Ministry of Science, Innovation and Universities.

Institutional Review Board Statement

Because the samples required for this study were obtained during routine health check-ups, the Animal Experimentation Ethics Committee of the University of Extremadura determined that this work could not be considered animal experimentation, in accordance with Royal Decree 53/2013 (Spain).

Informed Consent Statement

Informed consent was obtained from the owners of all subjects involved in the study.

Data Availability Statement

All data generated or analysed during this study are included in this published article. Additional data supporting the findings are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
MMVD Myxomatous mitral valve disease
ACVIM American College of Veterinary Internal Medicine
CHF Congestive heart failure
CvRD Cardiovascular-renal axis disorders
CvRDCH Cardiovascular-renal axis disorders secondary to chronic heart disease
SDMA Symmetric dimethylarginine
sCr Serum creatinine
sCyst Serum cystatin C
UPC Urinary ratio proteins/creatinine
uALPc Urinary ratio alkaline phosphatase/creatinine
uGGTc Urinary ratio gamma-glutamyl transferase/creatinine
uNAGc Urinary ratio N-acetyl B-D-glucosaminidase/creatinine
uCystc Urinary ratio cystatin C/creatinine
uNGAL Urinary neutrophil gelatinase-associated lipocalin

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Figure 1. (a) uALPc, (b) uGGTc, (c) uNAGc, (d) uCystc, of healthy dogs (CTRL), dogs with myxomatous mitral valve disease (MMVD) and its ACVIM subgroups (B1, B2 and C+D). Data are presented as boxes and whiskers. Each box includes the interquartile range, the line within a box represents the median and the whiskers represent values within 1.5×interquartile range. Outliers are depicted by circles.
Figure 1. (a) uALPc, (b) uGGTc, (c) uNAGc, (d) uCystc, of healthy dogs (CTRL), dogs with myxomatous mitral valve disease (MMVD) and its ACVIM subgroups (B1, B2 and C+D). Data are presented as boxes and whiskers. Each box includes the interquartile range, the line within a box represents the median and the whiskers represent values within 1.5×interquartile range. Outliers are depicted by circles.
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Figure 2. ROC curves comparing the discriminatory ability of uALPc, uGGTc, uNAGc, uCystc, sCr, SDMA and sCyst in detecting (a) myxomatous mitral valve disease, (b) cardiomegaly and (c) chronic congestive heart failure. Abbreviations: uALPc. urinary alkaline phosphatase/creatinine ratio; uGGTc. urinary gamma-glutamyl transferase/creatinine ratio; uNAGc. urinary N-acetyl-β-D-glucosaminidase/creatinine ratio; uCystc. urinary cystatin C/creatinine ratio; sCr. serum creatinine; SDMA. symmetric dimethylarginine; sCyst. serum cystatin C. Abbreviations: sCr. serum creatinine; SDMA. symmetric dimethylarginine; sCyst. serum cystatin C; uALPc. urinary alkaline phosphatase/creatinine ratio; uGGTc. urinary gamma-glutamyl transferase/creatinine ratio; uNAGc. urinary N-acetyl-β-D-glucosaminidase/creatinine ratio; uCystc. urinary cystatin C/creatinine ratio; AUC. area under the curve; CI. confidence interval; MMVD. myxomatous mitral valve disease.
Figure 2. ROC curves comparing the discriminatory ability of uALPc, uGGTc, uNAGc, uCystc, sCr, SDMA and sCyst in detecting (a) myxomatous mitral valve disease, (b) cardiomegaly and (c) chronic congestive heart failure. Abbreviations: uALPc. urinary alkaline phosphatase/creatinine ratio; uGGTc. urinary gamma-glutamyl transferase/creatinine ratio; uNAGc. urinary N-acetyl-β-D-glucosaminidase/creatinine ratio; uCystc. urinary cystatin C/creatinine ratio; sCr. serum creatinine; SDMA. symmetric dimethylarginine; sCyst. serum cystatin C. Abbreviations: sCr. serum creatinine; SDMA. symmetric dimethylarginine; sCyst. serum cystatin C; uALPc. urinary alkaline phosphatase/creatinine ratio; uGGTc. urinary gamma-glutamyl transferase/creatinine ratio; uNAGc. urinary N-acetyl-β-D-glucosaminidase/creatinine ratio; uCystc. urinary cystatin C/creatinine ratio; AUC. area under the curve; CI. confidence interval; MMVD. myxomatous mitral valve disease.
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Table 1. Haematology results in healthy dogs and dogs with MMVD divided by ACVIM.
Table 1. Haematology results in healthy dogs and dogs with MMVD divided by ACVIM.
Control Group B1 Group B2 Group C+D Group
RBC (x106/µl) 6.87 (6.48-7.21) π 6.86 (6.37-7.24) 6.49 (5.78-6.81) 6.16 (5.65-7.01) π
HGB (g/dL) 17 (16.5-18.05) π 16.6 (15.8-18.6) / 16.2 (14.3-17) 14.6 (14-16.6) π/
HCT (%) 46 (43.95-48) π 45.8 (43.5-49.4) / 43.4 (38.1-46.3) 40.15 (37.4-45.4) π/
MCV (fL) 67.87 ±2.26 68.15 ± 3.0 67.71 ± 2.64 67.77 ± 2.46
MCHC (g/dL) 36.87 ± 2.26 36.34 ± 1.21 36.22 ± 1.6 36.49 ± 1.34
WBC (x103/μL) 7.72 (6.72-9.11) π 6.87 (6.18-8.03) / 8.2 (7.06-11.96) - 13.32 (9.52-18.55) π/-
Neutrophil count (x103/μL) 4.55 (3.11-5.72) π& 4.94 (4.18-5.66) / 5.51 (4.79-7.15) &- 9.9 (6.81-15.16) π/-
Eosinophil count (x103/μL) 0.385 (0.28-0.52) π 0.21 (0.18-0.34) 0.25 (0.13-0.31) 0.235 (0.07-0.35) π
Lymphocyte count (x103/μL) 2.22 (2.02-2.93) *&π 1.32 (1.08-1.81) * 1.4 (1.15-1.95) & 1.59 (1.04-2) π
Monocyte count (x103/μL) 0.51 (0.41-0.59) π 0.4 (0.36-0.55) / 0.54 (0.38-0.75) - 1.09 (0.83-1.39) π/-
Platelet count (x103/μL) 260 (183.5-304) &π 298 (231-381) 307 (273-408) & 370 (318-415) π
Abbreviations: RBC. red blood cells; HGB. haemoglobin concentration; HCT. haematocrit; MCV. mean corpuscular volume; MCHC. mean corpuscular haemoglobin concentration; WBC. white blood cells. Values are presented as mean ± SD or median (IQR). *p<0.05 indicates a statistically significant difference between control group and B1 group; & between control group and B2 group; π between control group and C+D group; ! between B1 group and B2 group; / between B1 group and C+D group; - between B2 group and C+D group.
Table 2. Plasma biochemical results in healthy dogs and dogs with MMVD divided by ACVIM.
Table 2. Plasma biochemical results in healthy dogs and dogs with MMVD divided by ACVIM.
Control Group B1 Group B2 Group C+D Group
Glucose (mg/dL) 88.95 (81.51-92.37) *&π 102.96 (95.54-118.5) * 98.39 (93.12-104) & 107.295 (94.14-116) π
Total proteins (g/dL) 6.11 ± 0.3 *π 6.64 ± 0.57 * 6.58 ± 0.53 6.57 ± 0.62 π
Albumin (g/dL) 3.26 ± 0.15 3.41 ± 0.3 3.41 ± 0.26 3.24 ± 0.28
Globulins (g/dL) 2.86 ± 0.28 π 3.22 ± 0.5 3.17 ± 0.45 3.32 ± 0.54 π
Calcium (mg/dL) 10.16 (9.83-10.45) 10.65 (10.09-11.8) 10.75 (10.36-10.97) 10.37 (9.69-11.37)
Phosphorus (mg/dL) 4.13 (3.81-4.68) *& 3.3 (2.72-3.71) */ 3.3 (2.47-3.72) &- 3.91 (3.34-5.29) /-
Cholesterol (mg/dL) 218.5 (185.5-265.5) 234 (183-287) 233 (175-272) 236 (204-256)
Sodium (mEq/L) 149.25 (145-150.2) 150 (147-153.7) 147.4 (146.2-157) 146 (145-152.8)
Potassium (mEq/L) 5.21 (4.8-5.35) *&π 4.41 (3.89-4.75) * 4.34 (4-4.68) & 4.205 (3.82-4.71) π
Chloride (mEq/L) 114.35 (108.55-122.9) & 119 (113.2-121.8) 123 (118.5-125.3) & 118.55 (115.9-121.9)
Na/K 28.75 (27.81-30.86) *&π 33.18 (30.96-38.43) * 34.57 (29.57-36.85) & 34.99 (32.17-37.47) π
ALP (U/L) 88 (56.5-138.5) & 128 (69-320) 167 (130-367) & 142 (73-331)
ALT (U/L) 37.5 (32-52) 49 (38-65) 54 (45-93) 40.5 (30-78)
Creatinine (mg/dL) 1.12 (1.01-1.2) 0.98 (0.91-1.09) / 1.08 (0.98-1.16) 1.2 (1.1-1.94) /
Urea (mg/dL) 38.7 (33.05-44.95) π 35.6 (28.7-41.7) / 35.5 (26.7-43) - 65.9 (50.2-93) π/-
SDMA (μg/dL) 10 (9-11.5) *π 8 (7-10) */ 9 (8-11) - 13 (11-17) π/-
Cystatin C (mg/L) 0.15 ± 0.04 π 0.17 ± 0.07 0.18 ± 0.06 0.21 ± 0.09 π
Abbreviations: ALT. alanine aminotransferase; ALP. alkaline phosphatase; SDMA. symmetric dimethylarginine; Na/K. sodium/potassium ratio. Values are presented as mean ± SD or median (IQR). *p<0.05 indicates a statistically significant difference between control group and B1 group; & between control group and B2 group; π between control group and C+D group; ! between B1 group and B2 group; / between B1 group and C+D group; - between B2 group and C+D group.
Table 3. Urinalysis results in healthy dogs, dogs with MMVD and dogs with MMVD divided by ACVIM.
Table 3. Urinalysis results in healthy dogs, dogs with MMVD and dogs with MMVD divided by ACVIM.
Control Group B1 Group B2 Group C+D Group
pH 6.8 ± 0.83 7.14 ± 1 7.44 ± 0.86 7.11 ± 0.81
USG 1.043 (1.029-1.05) π& 1.031 (1.023-1.041) / 1.031 (1.021-1.037) &- 1.013 (1.011-1.016) π/-
UPC 0.05 (0.01-0.14) *&π 0.17 (0.11-0.4) * 0.21 (0.12-0.47) & 0.19 (0.13-0.29) π
Urinary creatinine (mg/dL) 168.89 (115.49-222.1) π 125.48 (94-218.3) / 151.16 (83.35-199.65) - 40.76 (29.68-75.73) π/-
FE Na (%) 0.34 (0.23-0.7) π 0.66 (0.3-0.77) / 0.74 (0.28-1.17) 1.37 (0.6-3.48) π/
FE Cl (%) 0.89 (0.56-1.17) 0.64 (0.32-0.95) / 0.8 (0.48-1.69) 1.52 (0.66-3.69) /
FE K (%) 14.51 (9.74-17.52) π 16.5 (10.51-22.89) * 14.67 (10.56-24.22) & 28.28 (17.17-52.96) *&π
Abbreviations: UPC. urinary ratio proteins/creatinine; USG. urine specific gravity; FE Na. fractional excretion of sodium; FE Cl. fractional excretion of chloride; FE K. fractional excretion of potassium. Values are presented as mean ± SD or median (IQR). *p<0.05 indicates a statistically significant difference between control group and B1 group; & between control group and B2 group; π between control group and C+D group; ! between B1 group and B2 group; / between B1 group and C+D group; - between B2 group and C+D group.
Table 4. Tubular biomarkers result in healthy dogs, dogs with MMVD and dogs with MMVD divided by ACVIM.
Table 4. Tubular biomarkers result in healthy dogs, dogs with MMVD and dogs with MMVD divided by ACVIM.
Control Group MMVD Group B1 Group B2 Group C+D Group
uALPc (U/g) 2.56 (0.44-7.935) *&π 25.46 (11.61-68.59) ^ 18.27 (7.55-32.04) */ 20 (7.23-54.81) & 53.93 (17.68-77.04) π/
uGGTc (U/g) 20.22 (14.86-34.01) *&π 47.73 (28.52-80.47) ^ 46.15 (27.80-53.24) * 50 (29.12-93.47) & 49.83 (28.7-81.49) π
uCystc (µg/g) 15.06 (10.12-34.63) π 26.89 (13.74-63.83) 22.56 (10.48-33.53) / 16.75 (13.23-37.78) - 48.09 (24.53-114.32) π/-
uNAGc (U/g) 1.89 (0.107-4.63) &π 6.42 (0.91-13.51) ^ 2.17 (0.08-6.77) ¡/ 6.56 (0.94-19.65) &¡ 8.59 (3.38-21.38) π/
Abbreviations: uALPc. urinary ratio alkaline phosphatase/creatinine; uGGTc. urinary ratio gamma-glutamyl transferase/creatinine; uCystc. urinary ratio cystatin C/creatinine; uNAGc. urinary ratio N-acetyl B-D-glucosaminidase/creatinine. Values are presented as mean ± SD or median (IQR). *p<0.05 indicates a statistically significant difference between control group and B1 group; & between control group and B2 group; π between control group and C+D group; ! between B1 group and B2 group; / between B1 group and C+D group; - between B2 group and C+D group; ^ between control group and MMVD group.
Table 5. The cut-off values, sensitivity and specificity of each parameter for the prediction of MMVD, cardiomegaly and chronic congestive heart failure based on ROC curve analysis.
Table 5. The cut-off values, sensitivity and specificity of each parameter for the prediction of MMVD, cardiomegaly and chronic congestive heart failure based on ROC curve analysis.
sCr (mg/dL) SDMA (μg/dL) sCyst (mg/L) uALPc (U/g) uGGTc (U/g) uNAGc (U/g) uCystc (µg/g)
MMVD vs Control
AUC 0.46 0.48 0.66 0.87 0.86 0.69 0.64
95% CI 0.33-0.6 0.36-0.6 0.54-0.79 0.78-0.95 0.77-0.94 0.57-0.8 0.51-0.78
Cut-offs 1.06 11 0.16 9.29 26.17 5.38 24.53
Sensitivity (%) 59.4 43.5 63.5 77.4 85.9 54 58.7
Specificity (%) 45 60 60 85 70 85 65
B1 + Control vs B2 + C+D (Cardiomegaly)
AUC 0.63 0.67 0.65 0.77 0.74 0.75 0.67
95% CI 0.51-0.75 0.55-0.79 0.63-0.77 0.66-0.87 0.64-0.85 0.65-0.86 0.55-0.78
Cut-offs 1.08 11 0.17 17 46.98 6.41 33.28
Sensitivity (%) 69.8 57.1 60.5 73.8 60.5 62.8 55.8
Specificity (%) 58.5 72.5 65 67.5 78 82.5 72.5
B1 + B2 vs C+D (Chronic congestive heart failure)
AUC 0.76 0.85 0.6 0.71 0.56 0.66 0.75
95% CI 0.63-0.88 0.75-0.95 0.45-0.75 0.57-0.84 0.42-0.71 0.52-0.8 0.62-0.87
Cut-offs 1.1 11 0.17 39.69 46.98 8.2 33.28
Sensitivity (%) 76.9 76 61.5 64 61.5 61.5 69.2
Specificity (%) 73.7 78.4 51.4 75.7 52.6 73 70.3
Table 6. Correlations between the biomarkers studied in all dogs.
Table 6. Correlations between the biomarkers studied in all dogs.
sCr (mg/dL) SDMA (μg/dL) sCyst (mg/L) uALPc (U/g) uGGTc (U/g) uNAGc (U/g) uCystc (µg/g) UPC HGB (g/dL)
sCr (mg/dL) 0.478** 0.350** 0.066 -0.125 0.034 0.011 -0.013 -0.094
SDMA (μg/dL) 0.478** 0.285** 0.144 0.030 0.007 0.210 -0.007 -0.092
sCyst (mg/L) 0.350** 0.285** 0.193 0.016 0.014 0.189 0.191 -0.312**
uALPc (U/g) 0.066 0.144 0.193 0.673** 0.284* 0.225* 0.496** -0.041
uGGTc (U/g) -0.125 0.030 0.016 0.673** 0.312** 0.068 0.546** -0.035
uNAGc (U/g) 0.034 0.007 0.014 0.284* 0.312** 0.305** 0.084 -0.187
uCystc (µg/g) 0.011 0.210 0.189 0.225* 0.068 0.305** 0.147 -0.290**
UPC -0.013 -0.007 0.191 .496** 0.546** 0.084 0.147 0.004
HGB (g/dL) -0.094 -0.092 -0.312** -0.041 -0.035 -0.187 -0.290** 0.004
Abbreviations: sCr. Serum creatinine; SDMA. symmetric dimethylarginine; sCyst. serum cystatin C; uALPc. urinary ratio alkaline phosphatase/creatinine; uGGTc. urinary ratio gamma-glutamyl transferase/creatinine; uNAGc. urinary ratio N-acetyl B-D-glucosaminidase/creatinine; uCystc. urinary ratio cystatin C/creatinine; UPC. urinary ratio proteins/creatinine; HGB. haemoglobin concentration. *p<0.05. **p<0.01.
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