| Literature DB >> 32384094 |
Hannah Betts1, Sarah Martindale1, John Chiphwanya2, Square Z Mkwanda2, Dorothy E Matipula2, Paul Ndhlovu2, Charles Mackenzie1, Mark J Taylor1, Louise A Kelly-Hope1.
Abstract
BACKGROUND: Lymphatic filariasis (LF) is a mosquito-borne parasitic infection that causes significant disabling and disfiguring clinical manifestations. Hydrocoele (scrotal swelling) is the most common clinical condition, which affects an estimated 25 million men globally. The recommended strategy is surgical intervention, yet little is known about the impact of hydrocoele on men's lives, and how it may change if they have access to surgery. METHODOLOGY/PRINCIPALEntities:
Year: 2020 PMID: 32384094 PMCID: PMC7239494 DOI: 10.1371/journal.pntd.0008314
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Location of hospitals in study districts of Chikwawa and Nsanje.
Fig 2Age distribution of men having surgery for hydrocoele in Chikwawa and Nsanje Districts.
Clinical classification of patient’s hydrocoele by age group.
| Presentation | Total | <55 years | ≥55 years | Chi-square |
|---|---|---|---|---|
| Left | 73 (36.3%) | 42 (44.2%) | 31 (29.2%) | X2 = 5.978 |
| Right | 58 (28.9%) | 27 (28.4%) | 31 (29.2%) | |
| Bilateral | 70 (34.8%) | 26 (27.4%) | 44 (41.5%) | |
| Stage I | 28 (13.9%) | 16 (16.8%) | 12 (11.4%) | X2 = 2.191 |
| Stage II | 88 (43.8%) | 42 (44.2%) | 46 (43.4%) | |
| Stage III | 63 (31.3%) | 29 (30.5%) | 34 (32.1%) | |
| Stage IV or V | 22 (10.9%) | 8 (8.4%) | 14 (13.2%) | |
| Grade 0 | 90 (44.8%) | 49 (51.6%) | 41 (38.7%) | X2 = 3.644 |
| Grade 1 | 79 (39.3%) | 33 (34.7%) | 46 (43.4%) | |
| Grade 2 | 26 (12.9%) | 10 (10.5%) | 16 (15.1%) | |
| Grade 3 or 4 | 6 (3.0%) | 3 (3.2%) | 3 (2.8%) | |
*p-value significant at 0.05
Barriers to hydrocoele surgery reported pre-surgery by age group.
| Barriers to surgery | Total No. (%) | ≥55 years | Chi-Square | |
|---|---|---|---|---|
| Couldn't afford surgery/transport/accommodation | 73 (36.3%) | 33 (34.7%) | 40 (37.7%) | X2 = 4.665 |
| Condition wasn't bad enough | 33 (16.4%) | 17 (17.9%) | 16 (15.1%) | |
| Scared or ashamed | 24 (11.9%) | 13 (13.7%) | 11 (10.4%) | |
| Didn't know surgery was possible | 20 (10%) | 7 (7.4%) | 13 (12.3%) | |
| Resource reasons: Surgery was postponed/not available/lack of resources/no transport | 14 (7%) | 6 (6.3%) | 8 (7.5%) | |
| Couldn’t take time off work/family commitments | 15 (7.5%) | 9 (9.5%) | 6 (5.7%) | |
| Was using traditional/local medicines | 11 (5.5%) | 6 (6.3%) | 5 (4.7%) | |
| Medical reasons: Had surgery previously but hydrocoele had reoccurred/ was not fit for surgery | 11 (5.5%) | 4 (4.2%) | 7 (6.6%) | |
Reported causes of hydrocoele—Pre-surgery.
| Causes of hydrocoele | Total No. (%) | <55 years | ≥55 years | Chi-Square |
|---|---|---|---|---|
| Sexually transmitted | 45 (22.4%) | 21 (22.1%) | 24 (22.6%) | X2 = 10.290 |
| Don't Know | 37 (18.4%) | 14 (14.7%) | 23 (21.7%) | |
| Sex with a woman on menses, after abortion/ giving birth | 34 (16.9%) | 22 (23.2%) | 12 (11.3%) | |
| Nothing/Bad luck | 32 15.9%) | 11 (11.6%) | 21 (19.8%) | |
| Other | 23 (11.4%) | 9 (9.5%) | 14 (13.2%) | |
| Mosquitoes | 17 (8.5%) | 12 (12.6%) | 5 (4.7%) | |
| Catch off someone (Infectious) | 13 (6.5%) | 6 (6.3%) | 7 (6.6%) | |
| 95 | 106 (100%) |
*Includes bad weather, worms, not heeding tradition, infidelity, poor hygiene, witchcraft and hereditary
Information sources on the causes of hydrocoele reported in Tables 2 and 3 (pre-surgery).
| Information source | Total Number (%) | Number identifying mosquitoes as the cause of LF |
|---|---|---|
| Friends | 75(45.7%) | 0 (0%) |
| Common knowledge | 53 (32.3%) | 0 (0%) |
| Community health worker | 17(10.4%) | 15 (88.2%) |
| Parents/elders/ Radio/TV/media | 14(4.5%) | 0 (0%) |
| Don't know | 5 (3.0%) | 0 (0%) |
* Excluding the 37 men that answered “I don’t know” when asked for the cause of hydrocele (Table 3)
Self-reported post-operative symptoms and complications, reported during surveys conducted at 3-months post-surgery (n = 152).
| Domain | Response | Total | Age | Hydrocoele Stage | ||||
|---|---|---|---|---|---|---|---|---|
| <55 | ≥55 years | Chi square | Mild/ | Severe | Chi square | |||
| No | 139 | 70 (94.5%) | 69 (88.5%) | X2 = 1.826 | 87 (92.6%) | 52 (89.7%) | X2 = 0.385 | |
| Yes | 13 | 4 (5.5%) | 9 (11.5%) | 7 (7.4%) | 6 (10.3%) | |||
| No | 147 | 71 (96.0%) | 76 (97.4%) | X2 = 0.265 | 93 (98.9%) | 54 (93.1%) | X2 = 3.836 | |
| Yes | 5 | 3 (4.0%) | 2 (2.6%) | 1 (1.1%) | 4 (6.9%) | |||
| No | 143 | 69 (93.2%) | 74 (94.9%) | X2 = 0.181 | 89 (94.7%) | 54 (93.1%) | X2 = 0.689 | |
| Yes | 9 | 5 (6.8%) | 4 (5.1%) | 5 (5.3%) | 4 (6.9%) | |||
| No | 77 | 33 (44.6%) | 34 (43.6%) | X2 = 0.016 | 33 (44.6%) | 34 (43.6%) | X2 = 0.230 | |
| Yes | 85 | 41 (55.4%) | 44 (56.4%) | 41 (55.4%) | 44 (56.4%) | |||
*p-value significant at 0.05
Note. Men were asked in the 3-months post-surgery if they experienced swelling, bleeding, infection and/or pain/discomfort following the surgery
Summary of pre-surgery and post-surgery quality of life scores across the domains.
| Domain | Pre-surgery | 3-months follow up mean score | 6-months | T test results | ||
|---|---|---|---|---|---|---|
| Pre-surgery to 3-months | 3 months to 6 months | Pre-surgery to 6 months | ||||
| 5.4 (3.9) | 0.2 (0.8) | 0 (0) | t = 15.1823, p = 0.000 | t = 2.4436, p = 0.016 | t = 16.2396 p = 0.000 | |
| 6.2 (4.9) | 0.1 (0.8) | 0 (0) | t = 14.2454, p = 0.000 | t = 1.8035, p = 0.074 | t = 14.8273 p = 0.000 | |
| 4.7 (3) | 0.1 (0.5) | 0 (0) | t = 17.815, p = 0.000 | t = 1.9339, p = 0.055 | t = 18.4616 p = 0.000 | |
| 2.2 (2.5) | 0 (0.1) | 0 (0) | t = 10.4734, p = 0.000 | t = 1.7449, p = 0.083 | t = 10.5665 p = 0.000 | |
| 5.1 (3.9) | 0 (0) | 0 (0) | t = 15.4897, p = 0.000 | N/A | t = 15.4897 p = 0.000 | |
| 6.7 (3.1) | 0.1 (0.4) | 0 (0) | t = 24.943, p = 0.000 | t = 1.6431, p = 0.103 | t = 25.6588 p = 0.000 | |
| 30.4 (16.1) | 0.4 (2.3) | 0 (0) | t = 21.3902, p = 0.000 | t = 2.2763, p = 0.024 | t = 22.0892 p = 0.000 | |
Note. Number included was 137, only individual included in the survey at 6-months post-surgery were included in the analysis. The four levels and associated scores included no problem = 0, mild problem = 1, moderate problem = 2, severe problem = 3. The individual scores were used to calculate an overall QoL score, which ranged between 0 (no problems recorded in all 27 questions) and 81 (severe problems recorded in all 27 questions). The mean QoL score for each domain ranged between 0 to 15 for pain (5 questions), and between 0 and 18 for mobility (6 questions) and 0 and 12 for all other domains (4 questions).
*p-value significant at 0.05
Fig 3Quality of life responses across six domains colour-coded by the level of problem a subset of men experienced pre-surgery and post-surgery.
Summary of pre-surgery and post-surgery quality of life scores across the domains, stratified by age group and hydrocoele stage.
| Domain | Time | Total | Age Group | Hydrocoele Stage | ||||
|---|---|---|---|---|---|---|---|---|
| <55 | ≥55 | T test | Mild/ | Severe | T Test | |||
| Pre-surgery | 5.4 | 5.3 (4) | 5.5 (3.9) | t = -0.280 p = 0.780 | 5.1 (3.5) | 5.9 (4.5) | t = -1.128 p = 0.261 | |
| Post 3-months | 0 | 0 (0) | 0.2 (0.9) | t = -1.247 p = 0.214 | 0.2 (0.8) | 0.1 (0.7) | t = 0.414 p = 0.680 | |
| Pre-surgery | 6.2 | 5.8 (5) | 6.5 (4.7) | t = -0.794 p = 0.429 | 5.5 (4.5) | 7.2 (5.3) | t = -2.036 p = 0.044 | |
| Post 3-months | 0 | 0.1 (0.6) | 0.2 (0.9) | t = -0.610 p = 0.543 | 0.1 (0.6) | 0.1 (0.9) | t = -0.132 p = 0.895 | |
| Pre-surgery | 4.7 | 4.6 (3) | 4.8 (3) | t = -0.351 p = 0.726 | 4.2 (2.8) | 5.5 (3.2) | t = -2.355 p = 0.020 | |
| Post 3-months | 0 | 0 (0.4) | 0.1 (0.6) | t = -0.808 p = 0.421 | 0.1 (0.4) | 0.1 (0.5) | t = 0.149 p = 0.882 | |
| Pre-surgery | 2.2 | 1.9 (2.3) | 2.5 (2.6) | t = -1.487 p = 0.140 | 1.7 (2) | 3 (2.9) | t = -3.137 p = 0.002 | |
| Post 3-months | 0 | 0 (0.1) | 0 (0.2) | = -0.517 p = 0.606 | 0 (0.2) | 0 (0.1) | t = 0.242 p = 0.809 | |
| Pre-surgery | 5.1 | 4.9 (4) | 5.3 (3.8) | t = -0.673 p = 0.502 | 4.4 (3.7) | 6.1 (4) | t = -2.579 p = 0.011 | |
| Post 3-months | 0 | 0 (0) | 0 (0) | N/A | 0 (0) | 0 (0) | N/A | |
| Pre-surgery | 6.7 | 6.8 (3) | 6.7 (3.1) | t = 0.241 p = 0.810 | 6.4 (2.8) | 7.3 (3.3) | t = -1.798 p = 0.074 | |
| Post 3-months | 0 | 0 (0.2) | 0.1 (0.5) | t = -0.761 p = 0.448 | 0.1 (0.5) | 0 (0.3) | t = 0.506 p = 0.614 | |
| Pre-surgery | 30.4 | 29.4 (16.2) | 31.4 (16.1) | t = -0.715 p = 0.476 | 27.3 (14.2) | 35 (17.8) | t = -2.793 p = 0.006 | |
| Post 3-months | 0 | 0.2 (1.7) | 0.6 (2.6) | t = -0.980 p = 0.329 | 0.5 (2) | 0.4 (2.6) | t = 0.238 p = 0.812 | |
Note. Number included was 137, only individual included in the survey at 6-months post-surgery were included in the analysis. The four levels and associated scores included no problem = 0, mild problem = 1, moderate problem = 2, severe problem = 3. The individual scores were used to calculate an overall QoL score, which ranged between 0 (no problems recorded in all 27 questions) and 81 (severe problems recorded in all 27 questions). The mean QoL score for each domain ranged between 0 to 15 for pain (5 questions), and between 0 and 18 for mobility (6 questions) and 0 and 12 for all other domains (4 questions).
*p-value significant at 0.05
Fig 4Number of days men have taken off work in the last month at pre-surgery and post-surgery intervals.