| Literature DB >> 35088727 |
Mai Ahmed Banakhar1, Wadha Al-Qahtani2, Tariq Faisal Al-Shaiji3, Johan Gani4, Meshari Almutairi5, Magdy Hassouna5.
Abstract
INTRODUCTION: The massive spread of COVID-19 affected many aspects of medical and surgical services. Many patients with sacral neuromodulation (SNM) devices needed integrated follow-up and close communication regarding the programming of the device. In this study, we aimed to explore the effect of COVID-19 lockdown on patients with SNM devices.Entities:
Keywords: COVID-19; LUTS; lockdown; sacral neuromodulation
Year: 2022 PMID: 35088727 PMCID: PMC8770041 DOI: 10.1016/j.neurom.2021.12.001
Source DB: PubMed Journal: Neuromodulation ISSN: 1094-7159
Patient Demographics According to Country.
| Variables | Canada (Toronto Western Hospital, Toronto, Canada) | Kuwait (Al-Amiri Hospital, Kuwait City, Kuwait) | Saudi Arabia (King Abdulaziz University, Jeddah, Saudi Arabia) | Australia (Austin and Western Health, University of Melbourne, Australia) | Total |
|---|---|---|---|---|---|
| Number of responders | 80 | 20 | 33 | 29 | 162 |
| Duration of InterStim | |||||
| • 1–3 mo | 4 (5%) | 2 (10%) | 1 (3%) | 5 (17%) | 12 (7.4%) |
| • >3 mo | 76 (95%) | 18 (90%) | 32 (96.9%) | 24 (82.7%) | 150 (92.5%) |
| Reason for SNM | |||||
| • OAB | 38 (47.5%) | 9 (45%) | 16 (48%) | 21 (72%) | 84 (51%) |
| • Retention | 27 (33.75%) | 9 (45%) | 11 (33%) | 7 (24%) | 54 (33%) |
| • IC | 8 (10%) | 2 (10%) | 5 (15%) | 1 (3%) | 16 (9%) |
| • Fecal incontinence | 5 (6.25%) | 0 (0%) | 1 (3%) | 0 (0%) | 6 (3%) |
| • OAB + fecal incontinence | 2 (2.5%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (1%) |
| Postoperative complication | |||||
| • None | 54 (67.5%) | 16 (80%) | 31 (93%) | 20 (69%) | 121 (74.6%) |
| • Pain | 13 (16.25%) | 3 (15%) | 0 (0%) | 4 (13.7%) | 20 (12.3%) |
| • Malfunction | 7 (8.75%) | 1 (5%) | 2 (6%) | 3 (10%) | 13 (8%) |
| • Bleeding | 1 (1.25%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (0.6%) |
| • Infection | 5 (6.25%) | 0 (0%) | 0 (0%) | 2 (6.8%) | 7 (4.3%) |
| Use the device easily | |||||
| • All the time | 64 (80%) | 16 (80%) | 23 (70%) | 19 (65%) | 122 (75%) |
| • Most of the time | 15 (18.75%) | 2 (10%) | 10 (30%) | 8 (27%) | 35 (21%) |
| • Sometimes | 1 (1.25%) | 1 (5%) | 0 (0%) | 1 (3.4%) | 3 (1.8%) |
| • No | 0 (0%) | 1 (5%) | 0 (0%) | 1 (3.4%) | 2 (1%) |
| Improvement rate | |||||
| • >80 | 28 (35%) | 14 (70%) | 0 (0%) | 1 (3.4%) | 43 (26%) |
| • <50 | 7 (8.75%) | 1 (5%) | 0 (0%) | 6 (20%) | 14 (8.6%) |
| • 50–80 | 45 (56.25%) | 5 (25%) | 33 (100%) | 22 (75%) | 105 (64%) |
| COVID-19 diagnosis | |||||
| • Positive | 0 (0%) | 0 (0%) | 2 (6%) | NA | 2 (1.23%) |
| • Negative | 80 (100%) | 20 (100%) | 31 (93.9%) | NA | 131 (80%) |
IC, interstitial cystitis; NA, not available; OAB, overactive bladder.
Figure 1Postoperative complications encountered by patients and their preferred response. ED, emergency department; non, none; Post-op, postoperative.
Figure 2Patients’ follow-up preference categorized according to their functioning diagnosis (reason for InterStim therapy). IC, interstitial cystitis; OAB, overactive bladder.
Effect of COVID-19 and the Lockdown on Patients With SNM Devices.
| Variables | Canada (Toronto Western Hospital, Toronto, Canada) | Kuwait (Al-Amiri Hospital, Kuwait City, Kuwait) | Saudi Arabia (King Abdulaziz University, Jeddah, Saudi Arabia) | Australia (Austin and Western Health, University of Melbourne, Australia) | Total |
|---|---|---|---|---|---|
| Treatment of complications during lockdown, if developed | |||||
| • None | 49 (61%) | 16 (80%) | 31 (93.9%) | 20 (68.9%) | 116 (71.6%) |
| • Phone | 14 (17.5%) | 2 (10%) | 0 (0%) | 8 (27.5%) | 24 (14.8%) |
| • Turn off | 5 (6.25%) | 2 (10%) | 2 (6%) | 1 (3.44%) | 10 (7%) |
| • ED visit | 12 (15%) | 0 (0%) | 0 (0%) | 0 (0%) | 12 (7%) |
| Contact difficulties during lockdown | |||||
| • Yes | 7 (8.75%) | 0 (0%) | 3 (9%) | 3 (10%) | 13 (8%) |
| • No | 73 (91.25%) | 20 (100%) | 30 (0.9%) | 26 (89.6%) | 149 (91.9%) |
| Follow-up preference | |||||
| • Attend | 44 (55%) | 13 (65%) | 10 (30%) | 6 (20.6%) | 73 (45%) |
| • Phone | 36 (45%) | 7 (35%) | 23 (69.6%) | 23 (79%) | 89 (54.9%) |
| Lockdown affecting visit | |||||
| • Yes | 27 (33.75%) | 8 (40%) | 32 (96.9%) | 13 (44.8%) | 80 (49%) |
| • No | 53 (66.25) | 12 (60%) | 1 (3%) | 16 (55%) | 82 (50.6%) |
| Remote programming | |||||
| • Yes | 71 (88.75%) | 17 (85%) | 28 (84%) | 29 (100%) | 145 (89.5%) |
| • No | 9 (11.25%) | 3 (15%) | 5 (15%) | 0 (0%) | 17 (10%) |