Submitted:
28 January 2025
Posted:
29 January 2025
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Abstract
Background: Upper gastrointestinal (GI) motility disorders, such as gastroparesis and functional dyspepsia (FD), contribute significantly to morbidity, especially in populations at risk for type 2 diabetes. However, the prevalence and clinical manifestations of these disorders in India and associated gastric dysrhythmias are not well-studied within this population. Methods: A retrospective, cross-sectional study was conducted, analysing 3,689 patients who underwent electrogastrography with water load satiety test (EGGWLST) testing across multiple motility clinics in India. The prevalence of gastroparesis and FD-like symptoms, symptom severity, and their association with diabetes and other comorbidities were evaluated. Symptom severity was assessed using the Gastroparesis Cardinal Symptom Index (GCSI) and EGGWLST findings were documented including the Gastric myoelectric activity threshold (GMAT) scores. Results: The study population had a mean age of 43.18 years. GCSI scores indicated mild symptoms (55%), moderate (33%), and severe (8%). As compared to non-diabetic population diabetic subjects had significantly higher rates of early satiety (56% vs. 45%, p<0.0001), bloating (73% vs. 67%, p 0.005), and reflux (28% vs. 24%, p 0.029) while WLST data analysis revealed that significantly more diabetic subjects ingested <350ml (16% vs 12%, p 0.000016). EGG analysis revealed gastric dysthymias in 1/3rd (65%). Significantly more diabetic subjects (22% vs 18% p 0.015) had a >0.59 GMAT score. Conclusions: Upper GI motility disorders are prevalent in India, particularly among diabetic patients. EGG is a valuable tool for characterising these disorders which may help in appropriating therapeutic approaches. Further research is required to optimize treatment strategies.
Keywords:
1. Introduction
2. Materials and Methods
2.1. Electrogastrography (EGG)
2.2. Data Collection and Analysis
3. Results
3.1. Description of Demographic and Symptom Characteristics in Overall Population and Between Diabetic Versus Non-Diabetic Populations
3.2. Region-Wise Analysis of Demographic & Symptom Characteristics
3.3. Water Ingestion and Gastric Myoelectric Activity Characteristics
3.4. Assessment of Upper GI Symptom Characteristics, EGG Based GMA Subtypes and Characteristics in Diabetic Versus Non-Diabetic Groups
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| APD | Antropyloroduodenal dysfunction |
| BDQ | Bowel Disease Questionnaire |
| cpm | Cycles per minute |
| FD | Functional dyspepsia |
| GCSI | Gastroparesis Cardinal Symptom Index |
| GES | Gastric electrical stimulation |
| GI | Gastrointestinal |
| GMA | Gastric myoelectric activity |
| ICH | International Council for Harmonisation |
| GCP | Good Clinical Practice |
| GMAT | Gastric myoelectric activity threshold |
| IEC | Independent ethics committee |
| ICCs | Interstitial cells of Cajal |
| nNOS | Neuronal nitric oxide synthase |
| NO | Nitric oxide |
| EGG | Electrogastrography |
| EGGWLST | Electrogastrography with water load satiety test |
| WLST | Water load satiety test |
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| Variables | Overall population (n=3689) | Diabetic population (n=714) | Non-diabetic population (n=2937) | P value (Diabetes vs non-diabetes) |
| Age, yrs(SD) | 43.18 (15.30) | 56 (12) | 40(14.40) | <0.0001$ |
|
Gender Male, n (%) Female, n (%) |
2011 (55%) 1675 (45%) |
365 (51%) 349 (49%) |
1627 (55%) 1310 (45%) |
|
| Symptoms, n (%) | ||||
| Early satiety | 1686 (46%) | 376 (56%)*** | 1310 (45%) | <0.0001 |
| Post prandial fullness | 1531 (42%) | 295 (38%) | 1221 (42%) | 0.899 |
| Bloating | 2498 (68%) | 519 (73%)** | 1956 (67%) | 0.0015 |
| Abdominal pain | 1191 (32%) | 217 (30%) | 954 (32%) | 0.30 |
| Epigastric pain | 684 (19%) | 100 (13%) | 583 (20%)*** | 0.0003 |
| Epigastric burning | 668 (18%) | 124 (17%) | 187 (6%) | 0.83 |
| Anorexia | 244 (7%) | 57 (8%) | 471 (16%) | 0.13 |
| Weight loss | 586 (16%) | 103 (14%) | 759 (26%) | 0.30 |
| Loss of appetite | 963 (26%) | 194 (27%) | 917 (31%) | 0.47 |
| Constipation | 1191 (32%) | 261 (35%)** | 869 (30%) | 0.006 |
| Reflux | 1118 (24%) | 241 (28%)* | 703 (24%) | 0.029 |
| Nasuea& vomiting | 879 (24%) | 174 (23%) | 905 (31%) | 0.80 |
| Nausea | 1128 (31%) | 212 (30%) | 355 (13%) | 0.55 |
| GCSI score, n(%) | ||||
| Mild | 2015 (55%) | 363 (51%) | 1544 (53%) | 0.40 |
| Moderate | 1234 (33%) | 252 (35%) | 973 (33%) | 0.27 |
| Severe | 299 (8%) | 68 (10%) | 227 (8%) | 0.11 |
| Variables | North (n=949) | South (n=1368) | West (n=651) | East (n=720) | P value |
| Age | 42 (11-85) | 44 (5-87) | 43 (13-86) | 43 (6-82) | 0.0215* ($) |
| Gender Female Male |
420 (44%) 527 (56%) |
586 (43%) 782 (57%) |
294 (45%) 357 (55%) |
375 (52%) 345 (48%) |
|
| Early satiety | 264 (28%) | 790 (58%) | 159 (24%) | 473 (66%)*** | <0.0001 |
| Post prandial fullness | 435 (46%) | 428 (31%) | 366 (56%)*** | 302 (42%) | <0.0001 |
| Bloating | 583 (61%) | 1040 (76%)*** | 370 (57%) | 504 (70%) | <0.0001 |
| Abdominal pain | 342 (36%)* | 418 (31%) | 210 (33%) | 216 (30%) | 0.0187 |
| Epigastric pain | 227 (24%) | 128 (9%) | 186 (29%)*** | 142 (20%) | <0.0001 |
| Epigastric burning | 160 (17%) | 281 (21%) | 141 (22%)*** | 86 (12%) | <0.0001 |
| Anorexia | 40 (4%) | 43 (3%) | 46 (7%) | 115 (16%)*** | <0.0001 |
| Weight loss | 85 (9%) | 208 (15%) | 65 (12%) | 212 (29%)*** | <0.0001 |
| Loss of appetite | 352 (37%)*** | 258 (19%) | 185 (28%) | 167 (23%) | <0.0001 |
| Constipation | 372 (39%)*** | 253 (18%) | 288 (44%) | 278 (39%)*** | <0.0001 |
| Reflux | 125 (13%) | 622 (45%)*** | 53 (8%) | 318 (44%) | <0.0001 |
| Nausea and vomiting | 195 (21%) | 324 (24%) | 187 (29%)** | 170 (24%) | 0.002 |
| Nausea | 294 (31%) | 315 (23%) | 212 (33%) | 306 (43%)*** | <0.0001 |
| Variables | Overall population (n=3689) | Diabetic population (n=714) | Non-diabetic population (n=2937) |
P value (Diabetes vs non- diabetes) |
| Amount of water ingested in ml, n (%) | ||||
| Average amount of water ingested | 533.51±216.35 | 543.32±261.58 | 532.32±204.16 | 0.22 |
| >350ml | 3201 (87%) | 590 (83%)*** | 2578 (87%) | 0.00027 |
| <350ml | 472 (13%) | 114 (16%)*** | 342 (12%) | 0.000016 |
| Average water consumed >350ml±SD | 579.97±189.86 | 605.38±237.26** | 579.98±177.27 | 0.0032$ |
| Average water consumed <350ml±SD | 218.49±77.14 | 217.19±74.39*** | 150.67 ±52.49 | 0.0001$ |
| GMAT score | ||||
| >0.59 | 772 (20%) | 154 (22%)* | 518 (18%) | 0.015 |
| <0.59 | 905 (25%) | 171 (21%)*** | 711(20%) | 0.18 |
| Dysrhythmic GMAa response | ||||
| Tachygastria | 1370 (37%) | 257 (36%) | 1067 (36%) | 0.86 |
| Bradygastria | 795 (22%) | 134(19%) | 645 (22%) | 0.061 |
| Mixed dysrhythemia | 210 (6%) | 43(6%) | 166 (6%) | 0.70 |
| Hyponormal 3cpm GMA | 2012 (55%) | 387(54%) | 1590 (54%) | 0.97 |
| Normal 3cpm GMA response | ||||
| Normal 3cpm GMA | 472 (13%) | 88 (12%) | 384 (13%) | 0.59 |
| Hypernormal 3cpm GMA | 194 (5%) | 36 (5%) | 158 (5%) | 0.71 |
| Normal 3 cpm with dysrhythmiab | 439 (12%) | 85 (12%) | 344 (12%) | 0.88 |
| Dysfunction, n (%) | ||||
| APD | 772 (20%) | 154 (22%)* | 518 (18%) | 0.01 |
| ICC | 2012 (55%) | 387 (54%) | 1590 (54%) | 0.97 |
| Normal 3 cpm with and without dysrhythemia | 911 (24.7%) | 173(24.22%) | 728(4.78%) | 0.75 |
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