| Literature DB >> 34397855 |
Khalid Mokti1,2, Zaleha Md Isa2, Julaidah Sharip3, Sahrol Nizam Abu Bakar3, Azman Atil1,2, Firdaus Hayati4, Syed Sharizman Syed Abdul Rahim1.
Abstract
ABSTRACT: Smear-positive pulmonary tuberculosis (SPPTB) is the major contributor to the spread of tuberculosis (TB) infection, and it creates high morbidity and mortality worldwide. The objective of this study was to determine the predictors of delayed sputum smear conversion at the end of the intensive phase of TB treatment in Kota Kinabalu, Malaysia.This retrospective study was conducted utilising data of SPPTB patients treated in 5 TB treatment centres located in Kota Kinabalu, Malaysia from 2013 to 2018. Pulmonary TB (PTB) patients included in the study were those who had at least completed the intensive phase of anti-TB treatment with sputum smear results at the end of the 2nd month of treatment. The factors associated with delayed sputum smear conversion were analyzed using multiple logistic regression analysis. Predictors of sputum smear conversion at the end of intensive phase were evaluated.A total of 2641 patients from the 2013 to 2018 periods were included in this study. One hundred eighty nine (7.2%) patients were identified as having delayed sputum smear conversion at the end of the intensive phase treatment. Factors of moderate (advanced odd ratio [aOR]: 1.7) and advanced (aOR: 2.7) chest X-ray findings at diagnosis, age range of >60 (aOR: 2.1), year of enrolment 2016 (aOR: 2.8), 2017 (aOR: 3.9), and 2018 (aOR: 2.8), smokers (aOR: 1.5), no directly observed treatment short-course (DOTS) supervisor (aOR: 6.9), non-Malaysian citizens (aOR: 1.5), and suburban home locations (aOR: 1.6) were associated with delayed sputum smear conversion at the end of the intensive phase of the treatment.To improve sputum smear conversion success rate, the early detection of PTB cases has to be fine-tuned so as to reduce late or severe case presentation during diagnosis. Efforts must also be in place to encourage PTB patients to quit smoking. The percentage of patients assigned with DOTS supervisors should be increased while at the same time ensuring that vulnerable groups such as those residing in suburban localities, the elderly and migrant TB patients are provided with proper follow-up treatment and management.Entities:
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Year: 2021 PMID: 34397855 PMCID: PMC8341317 DOI: 10.1097/MD.0000000000026841
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Figure 1Algorithm for the sampling of smear-positive TB treated in Kota Kinabalu TB treatment centers between January 2013 to December 2018.
Figure 2Trends of smear-positive PTB cases and conversion rate in Kota Kinabalu District, 2013 to 2018.
Bivariable analysis on associated sociodemographic, comorbid, and clinical factors with delayed sputum smear conversion in Kota Kinabalu TBTC, 2013 to 2018.
| Smear results | ||||||
| Variable | Total | Delayed sputum conversion | OR | 95% CI | ||
| Yes (n = 189) | No (n = 2452) | |||||
| N | f (%) | f (%) | ||||
| Prevalence | 2641 | 189 (7.2) | 2452 (92.8) | – | – | – |
| Year of enrolment | ||||||
| 2013 | 471 (17.8) | 15 (3.2) | 456 (96.8) | – | – | – |
| 2014 | 384 (14.5) | 16 (4.2) | 368 (95.8) | 1.3 | .45 | 0.7–2.7 |
| 2015 | 428 (16.2) | 16 (3.7) | 412 (96.3) | 1.2 | .65 | 0.6–2.4 |
| 2016 | 371 (14.0) | 31 (8.4) | 340 (91.6) | 2.8 | <.01 | 1.5–5.2 |
| 2017 | 465 (17.6) | 59 (12.7) | 406 (87.3) | 4.4 | <.01 | 2.5–7.9 |
| 2018 | 522 (19.8) | 52 (10.0) | 470 (90.0) | 3.4 | <.01 | 1.9–6.0 |
| Age group | ||||||
| <20 | 401 (15.2) | 22 (5.5) | 379 (94.5) | – | – | – |
| 20–40 | 1219 (46.2) | 79 (6.5) | 1140 (93.5) | 1.2 | .48 | 0.7–1.9 |
| 41–60 | 776 (29.4) | 64 (8.2) | 712 (91.8) | 1.6 | .09 | 0.9–2.6 |
| >60 | 245 (9.3) | 24 (9.8) | 221 (90.2) | 1.9 | .04 | 1.0–3.4 |
| Gender | ||||||
| Female | 1052 (39.8) | 58 (5.5) | 994 (94.5) | – | – | – |
| Male | 1589 (60.2) | 131 (8.2) | 1458 (91.8) | 1.5 | <.01 | 1.1–2.1 |
| Working status | ||||||
| Working | 1289 (48.6) | 88 (6.9) | 1196 (93.1) | – | – | – |
| Not working | 1357 (51.4) | 101 (7.4) | 1256 (92.6) | 1.1 | .56 | 0.8–1.5 |
| Nationality | ||||||
| Malaysian | 1726 (65.4) | 90 (45.2) | 1636 (94.8) | – | – | – |
| Non-Malaysian | 915 (34.6) | 99 (10.8) | 816 (89.2) | 2.2 | <.01 | 1.6–3.0 |
| Education level | ||||||
| Illiterate | 993 (37.6) | 110 (11.1) | 883 (88.9) | 3.0 | <.01 | 1.6–5.9 |
| Primary | 681 (22.0) | 30 (5.2) | 551 (94.8) | 1.3 | .46 | 0.6–2.7 |
| Secondary | 815 (30.9) | 39 (4.8) | 776 (95.2) | 1.2 | .59 | 0.6–2.5 |
| Tertiary | 252 (9.5) | 10 (4.0) | 242 (96.0) | – | – | – |
| DM | ||||||
| Yes | 205 (7.8) | 12 (5.9) | 193 (94.1) | – | – | – |
| No | 2436 (92.2) | 177 (7.3) | 2259 (92.7) | 1.3 | .45 | 0.7–2.3 |
| HIV status | ||||||
| Yes | 27 (1.0) | 1 (3.7) | 26 (96.3) | – | – | – |
| No | 2614 (99.0) | 188 (7.2) | 2426 (92.8) | 2.0 | .49 | 0.3–14.9 |
| Smoker | ||||||
| Yes | 794 (30.1) | 76 (9.6) | 718 (90.4) | 1.6 | <.01 | 1.2–2.2 |
| No | 1847 (69.9) | 113 (6.1) | 1734 (93.9) | – | – | – |
| House location | ||||||
| Urban | 934 (35.4) | 42 (4.5) | 892 (95.5) | – | – | – |
| Sub-Urban | 1707 (64.6) | 147 (8.6) | 1560 (91.4) | 2.0 | <.01 | 1.4–2.9 |
| Case status | ||||||
| New | 2487 (94.2) | 176 (7.1) | 2311 (92.9) | – | – | – |
| Recurrent | 154 (5.8) | 13 (8.4) | 141 (91.6) | 1.2 | .54 | 0.7–2.1 |
| Detection | ||||||
| Active/Screening | 364 (13.8) | 19 (5.2) | 345 (94.8) | – | – | – |
| Passive | 2277 (86.2) | 170 (7.5) | 2107 (92.5) | 1.5 | .13 | 0.9–2.4 |
| BCG scar | ||||||
| Yes | 1802 (68.2) | 98 (5.4) | 1704 (94.6) | – | – | – |
| No | 839 (31.8) | 961 (10.8) | 748 (89.2) | 2.1 | <.01 | 1.6–2.9 |
| Chest X-ray at diagnosis | ||||||
| No lesion /Minimal | 1295 (49) | 60 (4.6) | 1235 (95.4) | – | – | – |
| Moderate | 1179 (44.6) | 104 (8.8) | 1075 (91.2) | 2.0 | <.01 | 1.4–2.8 |
| Advanced | 167 (6.3) | 25 (15) | 142 (85) | 3.6 | <.01 | 2.2–6.0 |
| DOT supervisor | ||||||
| Yes | 2625 (99.4) | 183 (7.0) | 2442 (93) | – | – | – |
| No | 16 (0.6) | 6 (37.5) | 10 (62.5) | 8.0 | <.01 | 2.9–22.3 |
Multivariable analysis on factors associated with delayed sputum smear conversion at the end of the second month of intensive phase treatment.
| Variable | B | S.E. | Wald | aOR | 95% CI | |
| Year of enrolment | ||||||
| 2016 | 1.02 | 0.33 | 9.68 | <.01 | 2.77 | 1.5–5.3 |
| 2017 | 1.35 | 0.30 | 19.99 | <.01 | 3.86 | 2.1–7.0 |
| 2018 | 1.02 | 0.31 | 11.08 | <.01 | 2.77 | 1.5–5.0 |
| No DOTS Supervisor | 1.93 | 0.55 | 12.56 | <.01 | 6.89 | 2.4–20.0 |
| Chest x-rays at diagnosis | ||||||
| Moderate | 0.56 | 0.17 | 10.44 | <.01 | 1.75 | 1.3–2.5 |
| Advanced | 0.98 | 0.27 | 13.23 | <.01 | 2.67 | 1.6–4.5 |
| Non-Malaysian | 0.41 | 0.19 | 4.81 | .03 | 1.50 | 1.0–2.2 |
| Smoker | 0.43 | 0.16 | 7.21 | <.01 | 1.54 | 1.1–2.1 |
| Age >60 | 0.74 | 0.33 | 5.04 | .03 | 2.09 | 1.1–4.0 |
| Residence of rural area | 0.47 | 0.19 | 6.15 | .01 | 1.59 | 1.1–2.3 |