| Literature DB >> 33275646 |
Sandip Patil1, Amrita Rao1, Preety Pathak2, Swarali Kurle1, Arati Mane1, Amit Nirmalkar1, A K Singhal3, Vinita Verma4, Mukesh Kumar Singh3, D C S Reddy5, Ashwini Shete1, Manjula Singh6, Raman Gangakhedkar6, Samiran Panda1,6.
Abstract
The integrated counseling and testing center (ICTC) located in the district hospital, Unnao in the northern state of Uttar Pradesh (UP), India witnessed an increased detection of HIV among its attendees in July 2017. Subsequently, health camps were organized by the UP State AIDS Control Society in the villages and townships contributing to such detection. We conducted a case-control study to identify factors associated with this increased detection; 33 cases and 125 controls were enrolled. Cases were individuals, detected HIV sero-reactive during November 2017-April 2018 from three locations namely Premganj, Karimuddinpur and Chakmeerapur in the Bangarmau block of the district of Unnao. Controls hailed from the same geographical setting and tested HIV sero-nonreactive either in health camps or at ICTC centers from where the cases were detected. Misclassification bias was avoided by confirming HIV sero-status of both cases as well as controls prior to final analysis. Study participants were interviewed on various risk practices and invasive treatment procedures. They were also tested for HIV and other bio-markers reflecting unsafe injecting and sexual exposures such as hepatitis B surface antigen (HBsAg), anti-HCV antibody (HCV Ab), anti-herpes simplex-2 Immunoglobulin G (HSV-2 IgG) and rapid plasma regain (RPR) test for syphilis. Secondary data analysis on three time points during 2015 through 2018 revealed a rising trend of HIV among attendees of the ICTCs (ICTC-Hasanganj, ICTC-Unnao district hospital and ICTC- Nawabganj) catering to the entire district of Unnao. While there was a seven fold rise of HIV among ICTC attendees of Hasanganj (χ2 value for trend 23.83; p < 0.001), the rise in Unnao district hospital was twofold (χ2 value for trend 4.37; p < 0.05) and was tenfold at ICTC-Nawabganj (χ2 value for trend 5.23; p < 0.05) indicating risk of infection prevailing throughout the district. Primary data was generated through interviews and laboratory investigations as mentioned above. The median age of cases and controls was 50 year (minimum 18 -maximum 68; IQR 31-57) and 38 year (minimum 18 -maximum 78; IQR 29-50) respectively. Thirty six percent of the cases and 47% of controls were male. A significantly higher proportion of cases (85%) had HCV Ab compared to controls (56%; OR 4.4, 95% CI 1.5-12.1); none reported injection drug use. However, cases and controls did not differ significantly regarding presence of HSV-2 IgG (6% versus 8% respectively). Neither any significant difference existed between cases and controls in terms of receiving blood transfusion, undergoing invasive surgical procedures, tattooing, tonsuring of head or skin piercing. In multivariate logistic regression model, 'unsafe injection exposure during treatment-seeking'(AOR 6.61, 95% CI 1.80-24.18) and 'receipt of intramuscular injection in last five years' (AOR 7.20, 95% CI 1.48-34.88) were independently associated with HIV sero-reactive status. The monophyletic clustering of HIV sequences from 14 cases (HIV-1 pol gene amplified) indicated a common ancestry. Availability of auto-disabled syringes and needles, empowerment of the local communities and effective regulatory practices across care settings would serve as important intervention measures in this context.Entities:
Year: 2020 PMID: 33275646 PMCID: PMC7717531 DOI: 10.1371/journal.pone.0243534
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow chart—Recruitment of study population.
HIV seroreactivity among ICTC attendees, Unnao district.
| ICTC centers, Unnao district | HIV test | 2015–16 | 2016–17 | 2017–18 | Chi-square value (trend) | p-value |
|---|---|---|---|---|---|---|
| CHC Hasanganj | Positive | 3 | 10 | 42 | 23.83 | < 0.001 |
| Negative | 1287 | 1501 | 2065 | |||
| District hospital, Unnao | Positive | 53 | 47 | 82 | 4.37 | 0.03 |
| Negative | 6528 | 6033 | 7058 | |||
| CHC Nawabganj | Positive | 1 | 4 | 6 | 5.23 | 0.02 |
| Negative | 1431 | 1515 | 948 |
Socio-demographic profile, sexual practices* and injection exposure.
| Practices | Cases | Controls | OR | p-value |
|---|---|---|---|---|
| n (%) | n (%) | |||
| > 37 year | 23 (69.7) | 69 (55.2) | 1.86 (0.82–4.25) | 0.137 |
| ≤ 37 year | 10 (30.3) | 56 (44.8) | Reference | |
| Premganj | 18 (54.5) | 62 (49.6) | 0.48 (0.10–2.22) | 0.351 |
| Chakmeerapur | 12 (36.4) | 58 (46.4) | 0.34 (0.07–1.64) | 0.181 |
| Karimuddinpur | 3 (9.1) | 5 (4) | Reference | |
| Unemployed | 19 (57.58) | 46 (36.80) | 2.38 (0.98–5.79) | 0.055 |
| Famer | 5 (15.15) | 27 (21.60) | 1.06 (0.33–3.50) | 0.911 |
| Non-agricultural | 9 (27.27) | 52 (41.60) | Reference | |
| Yes | 2 (20.0) | 4 (6.9) | 3.38 (0.53–21.52) | 0.19 |
| No | 8 (80.0) | 54 (93.1) | Reference | |
| No | 24 (82.8) | 91 (80.5) | 1.16 (0.39–3.38) | 0.785 |
| Yes | 05 (17.2) | 22 (19.5) | Reference | |
| Yes | 31 (94.0) | 79 (63.2) | 9.02 (2.06–39.46) | 0.003 |
| No | 02 (6.0) | 46 (36.8) | Reference | |
| Didn’t notice if the syringe & needle were new | 6 (18.18) | 11 (8.8) | 3.67 (1.18–11.32) | 0.024 |
| Injected by used syringe & needle | 9 (27.27) | 5 (4.0) | 11 (3.30–36.57) | < 0.001 |
| Injected by new syringe & needle | 18 (54.55) | 109 (87.2) | Reference |
a Odds Ratio;
b Confidence Interval
*None among male participants from cases and only two participants from controls reported ever having sex with female sex workers.
Unsafe injecting and sexual exposure-related biomarkers.
| Characteristics | Cases | Controls | OR | p-value |
|---|---|---|---|---|
| n (%) | n (%) | |||
| Sero-reactive | 28 (84.8) | 70 (56) | 4.4 (1.5–12.1) | 0.004 |
| Sero-nonreactive | 5 (15.2) | 55 (44) | Reference | |
| Sero-reactive | 2 (6.1) | 5 (4.0) | 1.5 (0.28–8.36) | 0.611 |
| Sero-nonreactive | 31 (93.9) | 120 (96) | Reference | |
| Sero-reactive | 2 (6.5) | 10 (8.1) | 0.79 (0.16–3.78) | 0.764 |
| Sero-nonreactive | 29 (93.5) | 114 (91.9) | Reference |
a Odds Ratio;
b Confidence Interval.
Fig 2HCV sero-reactive status in HIV infected and non-infected individuals.
Blood transfusion and invasive procedures.
| Invasive procedure in the last 5 years | Case n (%) | Control n (%) | OR | p-value |
|---|---|---|---|---|
| Yes | 3 (9.1) | 14 (11.2) | 0.79 (0.21–2.94) | 0.728 |
| No | 30 (90.9) | 111 (88.8) | Reference | |
| Yes | 1 (3.1) | 2 (1.6) | 1.98 (0.17–22.59) | 0.581 |
| No | 32 (96.9) | 123 (98.4) | Reference | |
| Yes | 8 (24.24) | 39 (31.2) | 0.71 (0.29–1.70) | 0.438 |
| No | 25 (75.76) | 86 (68.8) | Reference | |
| Yes | 4 (12.1) | 6 (4.8) | 2.74 (0.72–10.32) | 0.138 |
| No | 29 (87.8) | 119 (95.2) | Reference | |
| Yes | 1 (3) | 4 (3.2) | 0.94 (0.1–8.75) | 0.961 |
| No | 32 (96.9) | 121 (96.8) | Reference | |
| Yes | 10 (30.3) | 48 (39) | 0.67 (0.29–1.55) | 0.359 |
| No | 23 (69.7) | 75 (60.9) | Reference |
a Odds Ratio;
b Confidence Interval.
Factors associated with HIV infection in multivariate analysis.
| Variable | Cases | Controls | AOR | p-value |
|---|---|---|---|---|
| n (%) | n (%) | |||
| ≤ 37 year | 10 (30.3) | 56 (44.8) | Reference | |
| > 37 year | 23 (69.7) | 69 (55.2) | 2.07 (0.79–5.37) | 0.134 |
| Premganj | 18 (54.5) | 62 (49.6) | 0.28 (0.5–1.62) | 0.157 |
| Chakmeerapur | 12 (36.4) | 58 (46.4) | 0.14 (0.02–0.9) | 0.039 |
| Karimuddinpur | 3 (9.1) | 5 (4) | Reference | |
| Unemployed | 19 (57.58) | 46 (36.80) | 2.10 (0.77–5.72) | 0.143 |
| Farmer | 5 (15.15) | 27 (21.60) | 1.06 (0.25–4.48) | 0.936 |
| Non-agricultural | 9 (27.27) | 52 (41.60) | Reference | |
| Yes | 31 (94.0) | 79 (63.2) | 7.20 (1.48–34.88) | 0.014 |
| No | 02 (6.0) | 46 (36.8) | Reference | |
| Didn’t notice | 6 (18.18) | 11 (8.8) | 2.81(0.81–9.69) | 0.1 |
| Injected by used syringe & needle | 9 (27.27) | 5 (4.0) | 6.61 (1.80–24.18) | 0.004 |
| Injected by new syringe & needle | 18 (54.55) | 109 (87.2) | Reference |
a Adjusted Odds Ratio;
b Confidence Interval.
Fig 3Maximum likelihood tree showing clustering of HIV-1 subtype C.