Submitted:
23 September 2024
Posted:
24 September 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
Statistical Analysis
3. Results
| Variables | ||
|---|---|---|
| Age | Mean.±SD | 63.27±8.43 |
| Median (Min-Max) | 63.00 (37.00-79.00) | |
| Gender, n(%) | Female | 117 (65.7) |
| Male | 61 (34.3) | |
| Weight (kg) | Mean.±SD | 81.88±7.48 |
| Median (Min-Max) | 82.00 (56.00-120.00) | |
| Height (cm) | Mean.±SD | 165.99±6.39 |
| Median (Min-Max) | 165.00 (150.00-180.00) | |
| Comorbidities, n(%) | Absent | 13 (7.3) |
| Present | 165 (92.7) | |
| Diabetes, n(%) | Absent | 141 (79.2) |
| Present | 37 (20.8) | |
| Depression, n(%) | Absent | 170 (95.5) |
| Present | 8 (4.5) | |
| Pain Catastrophizing Scale score | Mean.±SD | 7.84±10.08 |
| Median (Min-Max) | 3.00 (0.00-50.00) | |
| Beck Depression Scale, n(%) | Minimal Depression | 92 (51.7) |
| Mild Depression | 52 (29.2) | |
| Moderate Depression | 29 (16.3) | |
| Severe Depression | 5 (2.8) | |
| STAII | Mean.±SD | 48.24±13.36 |
| Median (Min-Max) | 46.50 (28.00-78.00) | |
| Opioid-Nonopioid use, n(%) | Absent | 18 (10.1) |
| Present | 160 (89.9) | |
| Fentanyl Dose, n(%) | 50 mcg | 14 (53.8) |
| 75 mcg | 12 (46.2) | |
| Remifentanil Dose, n(%) | 20 mcg | 2 (6.5) |
| 40 mcg | 20 (64.5) | |
| 50 mcg | 9 (29.0) | |
| Petidine Dose, n(%) | 50 mg | 48 (100.0) |
| Tramadol Dose, n(%) | 50 mg | 2 (1.9) |
| 100 mg | 104 (98.1) | |
| Metamizole Dose, n(%) | 1 gr | 80 (100.0) |
| Lornoxicam Dose, n(%) | 8 mg | 15 (100.0) |
| Paracetamol Dose, n(%) | 1 gr | 5 (100.0) |
| Interscalene block, n(%) | Absent | 145 (81.5) |
| Present | 33 (18.5) | |
| Patient-controlled analgesia, n(%) | Absent | 81 (45.5) |
| Present | 97 (54.5) | |
| FTR, n(%) | Absent | 22 (12.4) |
| Present | 156 (87.6) | |
| Pain service consultation, n(%) | Absent | 170 (95.5) |
| Present | 8 (4.5) | |
| Variables | ||
| Postop side effect, n(%) | Absent | 166 (93.3) |
| Present | 12 (6.7) | |
| Chronic Pain, n(%) | Absent | 86 (48.3) |
| Present | 92 (51.7) | |
| Neuropathic Pain, n(%) | Negative | 4 (33.3) |
| Positive | 8 (66.7) | |
| Variables | Chronic pain | |||
|---|---|---|---|---|
| Absent | Present | p value | ||
| Age | Mean.±SD | 64.05±8.29 | 62.55±8.53 | 0.239a |
| Median (Min-Max) | 65.00 (37.00-78.00) | 62.50 (42.00-79.00) | ||
| Gender, n(%) | Female | 57 (48.7) | 60 (51.3) | 0.881c |
| Male | 29 (47.5) | 32 (52,5) | ||
| Weight (kg) | Mean.±SD | 80.53±7.48 | 83.13±7.31 | 0.005b |
| Median (Min-Max) | 80.00 (60.00-106.00) | 84.00 (56.00-120.00) | ||
| Height (cm) | Mean.±SD | 165.84±6.48 | 166.14±6.33 | 0.995b |
| Median (Min-Max) | 165.00 (150.00-180.00) | 165.00 (155.00-180.00) | ||
| Comorbidity, n(%) | Absent | 11 (84.6) | 2 (15.4) | 0.007c |
| Present | 75 (45.5) | 90 (54.5) | ||
| Diabetes, n(%) | Absent | 69 (48.9) | 72 (51.1) | 0.746c |
| Present | 17 (45.9) | 20 (54.1) | ||
| Depression, n(%) | Absent | 81 (47.6) | 89 (52.4) | 0.485d |
| Present | 5 (62.5) | 3 (37.5) | ||
| Opioid-Nonopioid use, n(%) | Absent | 3 (16.7) | 15 (83.3) | 0.005c |
| Present | 83 (51.9) | 77 (48.1) | ||
| Fentanyl, n(%) | Absent | 78 (51.3) | 74 (48.7) | 0.053cc |
| Present | 8 (30.8) | 18 (69.2) | ||
| Remifentanil, n(%) | Absent | 74 (50.0) | 74 (50.0) | 0.318c |
| Present | 12 (40.0) | 18 (60.0) | ||
| Petidine, n(%) | Absent | 55 (42.3) | 75 (57.7) | 0.008c |
| Present | 31 (64.6) | 17 (35.4) | ||
| Tramadol, n(%) | Absent | 35 (48.6) | 37 (51.4) | 0.948c |
| Present | 51 (48.1) | 55 (51.9) | ||
| Metamizol, n(%) | Absent | 46 (46.0) | 54 (54.0) | 0.484c |
| Present | 40 (51.3) | 38 (48.7) | ||
| Lornoxicam, n(%) | Absent | 78 (48.1) | 84 (51.9) | 0.888c |
| Present | 8 (50.0) | 8 (50.0) | ||
| Paracetamol, n(%) | Absent | 84 (48.6) | 89 (51.4) | 1.000d |
| Present | 2 (40.0) | 3 (60.0) | ||
| Interscalene block, n(%) | Absent | 68 (46.9) | 77 (53.1) | 0.427c |
| Present | 18 (54.5) | 15 (45.5) | ||
| Patient-controlled analgesia, n(%) | Absent | 38 (46.9) | 43 (53.1) | 0.732c |
| Present | 48 (49.5) | 49 (50.5) | ||
| Variables | Chronic Pain | |||
|---|---|---|---|---|
| Absent | Present | p value | ||
| Pain Catastrophizing Scale score | Mean.±SD | 1.47±4.85 | 13.79±10.08 | <0.001a |
| Median (Min-Max) | 0.00 (0.00-32.00) | 12.50 (2.00-50.00) | ||
| Beck Depression scale, n(%) | Minimal Depression | 51 (55.4) | 41 (44.6) | 0.104b |
| Mild Depression | 18 (34.6) | 34 (65.4) | ||
| Moderate Depression | 14 (48.3) | 15 (51.7) | ||
| Severe Depression | 3 (60.0) | 2 (40.0) | ||
| STAII | Mean.±SD | 46.38±13.11 | 49.98±13.43 | 0,058a |
| Median (Min-Max) | 44.00 (28.00-76.00) |
49.00 (28.00-78.00) |
||
| Variables (reference) | β | SD | p value | Odds Ratio | 95% Confidence Interval Lower-Upper Limit | |
|---|---|---|---|---|---|---|
| Age | -0.021 | 0.018 | 0.238 | 0.979 | 0.945-1.014 | |
| Height | 0.008 | 0.024 | 0.750 | 1.008 | 0.962-1.055 | |
| Weight | 0.050 | 0.022 | 0.024 | 1.051 | 1.006-1.098 | |
| Comorbidity (Absent) | Present | 1.887 | 0.84 | 0.016 | 6.600 | 1.418-30.709 |
| Beck Depression Scale (Minimal Depression) | Mild Depression | 0.187 | 0.937 | 0.842 | 1.206 | 0.192-7.561 |
| Moderate Depression | 1.041 | 0.958 | 0.277 | 2.833 | 0.433-18.535 | |
| Severe Depression | 0.474 | 0.986 | 0.630 | 1.607 | 0.233-11.092 | |
| STAII | 0.021 | 0.012 | 0.074 | 1.021 | 0.998-1.044 | |
| Opioid-Nonopioid Use (Present) | Absent | 1.684 | 0.652 | 0.010 | 5.390 | 1.502-19.342 |
| Interscale Block (Present) | Absent | 0.307 | 0.387 | 0.428 | 1.359 | 0.636-2.902 |
| Patient-controlled Analgesia (Present) | Absent | 0.103 | 0.301 | 0.733 | 1.108 | 0.614-2.001 |
| Variables (reference) | β | SD | p value | Odds Ratio | 95% Confidence Interval Lower-Upper Limit | |
| Constant | -2.189 | 0.853 | 0.010 | - | - | |
| Comorbidity (Absent) | Present | 2.226 | 0.860 | 0.010 | 9.266 | 1.717-50.006 |
| Opioid-Nonopioid use (Present) | Absent | 1.972 | 0.720 | 0.006 | 7.184 | 1.751-29.481 |
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Snyder, SJ. Arthroscopic classification of rotator cuff lesions and surgical decision making. In: Snyder SJ. (ed.). Shoulder arthroscopy, Philadelphia, PA: Lippincott Williams and Wilkins, 2003, pp. 201–7.
- Horner, N. S., de Sa, D., Heaven, S. Et al. Indications and outcomes of shoulder arthroscopy after shoulder arthroplasty. J Shoulder Elbow Surg 2015; 25(3): 510-518. [CrossRef]
- Fredrickson, M. J., Ball, C.M., Dalgleish, A. J. Analgesic effectiveness of a continuous versus single-injection interscalene block for minor arthroscopic shoulder surgery. Reg Anesth Pain Med 2010; 35(1): 28-33. [CrossRef]
- Garimella, V., Cellini, C. Postoperative pain control. Clin colon rectal surg 2013; 26(3), 191-196. [CrossRef]
- Treuting, R. Minimally invasive orthopedic surgery: arthroscopy. Ochsner J 2000; 2(3): 158-163.
- Ruiz-Suarez M, Barber F.A. Postoperative pain control after shoulder arthroscopy. Orthopedics 2008; 31 (11): 1130. [CrossRef]
- Kim, B.G., Han J.U, Song J.H, Yang C, Lee B.W, Baek J.S. A comparison of ultrasound-guided interscalene and supraclavicular blocks for post-operative analgesia after shoulder surgery. Acta Anaesthesiologica Scandinavica 2017; 61(4): 427-435. [CrossRef]
- Beaudet V, Williams SR, Tetreault P, Perrault MA. Perioperative interscalene block versus intra-articular injection of local anesthetics for postoperative analgesia in shoulder surgery. Reg Anesth Pain Med 2008; 33 (2): 134-138. [CrossRef]
- Spence, B. C. Beach ML, Gallagher JD, Sites BD. Ultrasound-guided interscalene blocks: understanding where to inject the local anaesthetic. Anaesthesia 2011; 66 (6): 509-514. [CrossRef]
- Nicholos M, Wlaeyen JWS, Rief W et al. The IASP classification of chronic pain for ICD-11: chronic primary pain. Pain 2019; 160-1: 28-37. [CrossRef]
- Martin CT, Gao Y, Pugely AJ, Wolf BR. 30-day morbidity and mortality after elective shoulder arthroscopy: a review of 9410 cases. J Shoulder Elbow Surg 2013; 22(12): 1667-1675. [CrossRef]
- Cancienne JM, Brockmeier SF, Carson EW, Werner BC. Risk factors for infection after shoulder arthroscopy in a large Medicare population. Am J Sports Med 2018; 46(4): 809-814. [CrossRef]
- Heyer JH, Perim DA, Amdur RL, Pandarinath R. Impact of smoking on outcomes following knee and shoulder arthroscopy. Eur J Orthop Surg Traumatol. 2020; 30(2): 329-336. [CrossRef]
- Shin JJ, Popchak AJ, Musahl V, Irrgang JJ, Lin A.J. Complications after arthroscopic shoulder surgery: a review of the American board of orthopaedic surgery database. Am Acad Orthop Surg Glob Res Rev. 2018; 2(12): e093. [CrossRef]
- Li J, Chen J, Qin Q. Chronic pain and its association with obesity among older adults in China. Arch Gerontol Geriatr 2018; 76: 12-18. [CrossRef]
- Masselin-Dubois, A, Attal N, Flecther D. Are psychological predictors of chronic postsurgical pain dependent on the surgical model? A comparison of total knee arthroplasty and breast surgery for cancer. J Pain 2013; 14(8): 854-64. [CrossRef]
- Chapman, CR, Vierck CJ. The transition of acute postoperative pain to chronic pain: an integrative overview of research on mechanisms J Pain 2017; 18(4): 359.e1-359.e38. [CrossRef]
- Pico-Espinosa OJ, Skillgate E, Tettamanti G, Lager A, Holm LW. Diabetes mellitus and hyperlipidaemia as risk factors for frequent pain in the back, neck and/or shoulders/arms among adults in Stockholm 2006 to 2010–Results from the Stockholm Public Health Cohort. Scand J Pain 2017:15: 1-7. [CrossRef]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).