| Literature DB >> 28535765 |
Prakash Ghimire1, Nihal Singh2, Leonard Ortega3, Komal Raj Rijal4, Bipin Adhikari5, Garib Das Thakur6, Baburam Marasini7.
Abstract
BACKGROUND: Glucose-6-phosphate dehydrogenase (G6PD) is a rate limiting enzyme of the pentose phosphate pathway and is closely associated with the haemolytic disorders among patients receiving anti-malarial drugs, such as primaquine. G6PD deficiency (G6PDd) is an impending factor for radical treatment of malaria which affects the clearance of gametocytes from the blood and subsequent delay in the achievement of malaria elimination. The main objective of this study was to assess the prevalence of G6PD deficiency in six malaria endemic districts in Southern Nepal.Entities:
Keywords: Antimalarial drugs; Ethnic group; G6PDd; Malaria; Nepal; Risk
Mesh:
Year: 2017 PMID: 28535765 PMCID: PMC5442674 DOI: 10.1186/s12936-017-1864-2
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1G6PD deficiency prevalence in Nepal-2013
Socio-demographic factors in relation to G6PD deficiency by Binax (n = 1341)
| Characteristics | Number (%) | Binax result | p value | |
|---|---|---|---|---|
| Normal | Low | |||
| Number (%) | Number (%) | |||
| Gender | ||||
| Female | 820 (61.1) | 776 (94.6) | 44 (5.4) | 0.001* |
| Male | 521 (38.9) | 468 (89.8) | 53 (10.2) | |
| Ethnicity | ||||
| Rajbanshi | 162 (12.1) | 147 (90.7) | 15 (9.3) | 0.289 |
| Brahmin and Chhetri | 70 (5.2) | 67 (95.7) | 3 (4.3) | |
| Tharu | 1005 (74.9) | 930 (92.5) | 75 (7.5) | |
| Others | 104 (7.8) | 100 (96.2) | 4 (3.8) | |
| Age group (years) | ||||
| ≤20 | 687 (51.2) | 625 (91.0) | 62 (9.0) | 0.063 |
| 21–35 | 356 (26.5) | 338 (94.9) | 18 (5.1) | |
| 36–50 | 203 (15.1) | 190 (93.6) | 13 (6.4) | |
| ≥51 | 95 (7.1) | 91 (95.8) | 4 (4.2) | |
| Districts | ||||
| Dhanusa | 212 (15.8) | 203 (95.8) | 9 (4.2) | 0.501 |
| Dang | 226 (16.9) | 205 (90.7) | 21 (9.3) | |
| Kailali | 228 (17) | 211 (92.5) | 17 (7.5) | |
| Chitwan | 226 (16.9) | 209 (92.5) | 17 (7.5) | |
| Morang | 225 (16.8) | 209 (92.9) | 16 (7.1) | |
| Jhapa | 224 (16.7) | 207 (92.4) | 17 (7.6) | |
* Significant by Chi Square test
Multivariate logistic regression analysis for risk to G6PD deficiency using Binax (n = 1341)
| Characteristics | Adjusted | 95% CI | p value |
|---|---|---|---|
| Odds ratio | OR-range | ||
| District | |||
| Dhanusha | 0.6 | 0.13–2.77 | 0.51 |
| Dang | 1.52 | 0.35–6.59 | 0.57 |
| Kailali | 1.08 | 0.24–4.86 | 0.91 |
| Chitwan | 1.18 | 0.26–5.31 | 0.82 |
| Morang | 1.07 | 0.25–4.55 | 0.91 |
| Ethnicity | |||
| Rajbanshi | 2.3 | 0.62–8.45 | 0.2 |
| Brahmin and Chhetri | 1.02 | 0.20–5.20 | 0.98 |
| Tharu | 1.93 | 0.54–6.87 | 0.31 |
| Age group (years) | |||
| <20 | 3.88 | 0.34–44.29 | 0.27 |
| 21–35 | 1.86 | 0.30–11.64 | 0.5 |
| 36–50 | 1.89 | 0.50–7.12 | 0.34 |
| Age | 1.01 | 0.96–1.06 | 0.55 |
| Sex | |||
| Male | 1.97 | 1.28–3.03 | 0.002* |
* Significant p value <0.05
Socio-demographic factors in relation to G6PD deficiency by Care Start (n = 1341)
| Characteristics | Number (%) | Care Start result | p value | |
|---|---|---|---|---|
| Normal | Low | |||
| Number (%) | Number (%) | |||
| Gender | ||||
| Female | 820 (61.1) | 783 (95.5) | 37 (4.5) | 0.003* |
| Male | 521 (38.9) | 477 (91.6) | 44 (8.4) | |
| Ethnicity | ||||
| Rajbanshi | 162 (12.1) | 143 (88.3) | 19 (11.7) | 0.006* |
| Brahmin and Chhetri | 70 (5.2) | 69 (98.6) | 1 (1.4) | |
| Tharu | 1005 (74.9) | 949 (94.4) | 56 (5.6) | |
| Others | 104 (7.8) | 99 (95.2) | 5 (4.8) | |
| Age group (years) | ||||
| ≤20 | 687 (51.2) | 639 (93.0) | 48 (7.0) | 0.448 |
| 21–35 | 356 (26.5) | 339 (95.2) | 17 (4.8) | |
| 36–50 | 203 (15.1) | 191 (94.1) | 12 (5.9) | |
| ≥51 | 95 (7.1) | 91 (95.8) | 4 (4.2) | |
| Districts | ||||
| Dhanusa | 212 (15.8) | 206 (97.2) | 6 (2.8) | 0.031* |
| Dang | 226 (16.9) | 216 (95.6) | 10 (4.4) | |
| Kailali | 228 (17) | 216 (94.7) | 12 (5.3) | |
| Chitwan | 226 (16.9) | 213 (94.2) | 13 (5.8) | |
| Morang | 225 (16.8) | 207 (92.0) | 18 (8.0) | |
| Jhapa | 224 (16.7) | 202 (90.2) | 22 (9.8) | |
* Significant by Chi square test
Multivariate logistic regression analysis for risk to G6PD deficiency using Care Start (n = 1341)
| Characteristics | Adjusted | 95% CI | p value |
|---|---|---|---|
| Odds ratio | OR-range | ||
| District | |||
| Dhanusha | 0.28 | 0.058–1.36 | 0.11 |
| Dang | 0.49 | 0.10–2.31 | 0.37 |
| Kailali | 0.56 | 0.12–2.62 | 0.46 |
| Chitwan | 0.67 | 0.14–3.11 | 0.61 |
| Morang | 0.88 | 0.21–3.68 | 0.86 |
| Ethnicity | |||
| Rajbanshi | 1.87 | 0.62–5.63 | 0.26 |
| Brahmin and Chhetri | 0.31 | 0.03–3.02 | 0.31 |
| Tharu | 1.61 | 0.41–6.23 | 0.49 |
| Age group (years) | |||
| <20 | 0.85 | 0.06–11.98 | 0.9 |
| 21–35 | 0.78 | 0.11–5.55 | 0.811 |
| 36–50 | 1.32 | 0.33–5.24 | 0.68 |
| Age | 0.98 | 0.93–1.04 | 0.67 |
| Sex | |||
| Male | 1.86 | 1.16–2.97 | 0.009* |
* Significant p value <0.05