| Literature DB >> 28472053 |
Jamshid Gadoev1, Damin Asadov2, Anthony D Harries3,4, Nargiza Parpieva5, Katie Tayler-Smith6, Petros Isaakidis6, Engy Ali6, Sven Gudmund Hinderaker7, Gozalov Ogtay8, Andrew Ramsay9,10, Avazbek Jalolov11, Masoud Dara8.
Abstract
BACKGROUND: In Uzbekistan, despite stable and relatively high tuberculosis treatment success rates, relatively high rates of recurrent tuberculosis have recently been reported. Recurrent tuberculosis is when a patient who was treated for pulmonary tuberculosis and cured, later develops the disease again. This requires closer analysis to identify possible causes and recommend interventions to improve the situation. Using countrywide data, this study aimed to analyse trends in recurrent tuberculosis cases and describe their associations with socio-demographic and clinical factors.Entities:
Mesh:
Year: 2017 PMID: 28472053 PMCID: PMC5417503 DOI: 10.1371/journal.pone.0176473
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Trends in number of all notified tuberculosis cases and recurrent cases in Uzbekistan between 2006 and 2010.
| Year | All notified cases of tuberculosis | Recurrent cases |
|---|---|---|
| 23534 | 1530 (6.5) | |
| 22050 | 1904 (8.2) | |
| 20990 | 2081 (9.9) | |
| 20937 | 1955 (9.4) | |
| 19869 | 1888 (9.6) | |
| 107380 | 9358 |
* This includes all new cases and all retreatment cases (relapse, treatment after failure, return after loss to follow-up and others).
Association of socio-demographic and clinical characteristics of recurrent tuberculosis patients compared with all new tuberculosis (TB) patients in Uzbekistan, 2006–2010.
| Variables | All new TB patients | Relapse patients | Crude OR | Adjusted OR | |
|---|---|---|---|---|---|
| 81016 | 9358 | - | - | - | |
| Children (<15) | 10875 (13) | 212 (2) | 0.2 (0.2–0.2) | 0.8 (0.6–1.0) | 0.05 |
| Adolescent (15–18) | 4095 (5) | 252 (3) | 0.5 (0.5–0.6) | 0.9 (0.6–1.0) | 0.07 |
| Younger adults (19–35) | 28884 (36) | 3267 (35) | 1 | 1 | |
| Older adults (36–55) | 22423 (28) | 3810 (41) | 1.5 (1.4–1.6) | 1.3 (1.2–1.4) | <0.001 |
| Elderly patients (>55) | 14739 (18) | 1817 (19) | 1.1 (1.0–1.2) | 1.0 (0.9–1.2) | 0.59 |
| Male | 47345 (58) | 5669 (61) | 1.1 (1.0–1.1) | 1.2 (1.1–1.2) | <0.001 |
| Female | 33671 (42) | 3689 (39) | 1 | 1 | |
| Urban | 25009 (31) | 2939 (31) | 1.2 (1.1–1.3) | ||
| Rural | 55977 (69) | 5491 (59) | 1 | ||
| Unknown | 30 (<1) | 928 (10) | - | ||
| Republic of Karakalpakstan | 9669 (12) | 2198 (23) | 3.2 (2.9–3.5) | 2.0 (1.8–2.3) | <0.001 |
| Tashkent city | 5903 (7) | 901 (10) | 2.1 (1.9–2.4) | 1.8 (1.6–2.1) | <0.001 |
| Andijan province | 7041 (9) | 719 (8) | 1.4 (1.2–1.6) | 1.1 (1.0–1.3) | 0.04 |
| Bukhara province | 3563 (4) | 454 (5) | 1.8 (1.5–2.0) | 1.9 (1.7–2.2) | <0.001 |
| Jizzakh province | 3146 (4) | 266 (3) | 1.2 (1.0–1.4) | 0.9 (0.8–1.1) | 0.52 |
| Kashkadarya province | 7647 (9) | 537 (6) | 1 | 1 | |
| Navoi province | 2804 (3) | 319 (3) | 1.6 (1.4–1.8) | (0.9–1.2) | 0.90 |
| Namangan province | 6995 (9) | 709 (8) | 1.4 (1.2–1.6) | 1.4 (1.2–1.5) | <0.001 |
| Samarkand province | 8082 (10) | 936 (10) | 1.6 (1.4–1.8) | 1.4 (1.3–1.6) | <0.001 |
| Surkhandarya province | 4203 (5) | 154 (2) | 0.5 (0.4–0.6) | 0.5 (0.4–0.6) | <0.001 |
| Syrdarya province | 1949 (2) | 214 (2) | 1.5 (1.3–1.8) | 1.5 (1.3–1.8) | <0.001 |
| Tashkent province | 7995 (10) | 722 (8) | 1.2 (1.1–1.4) | 1.1 (1.0–1.2) | 0.15 |
| Fergana province | 8056 (10) | 758 (8) | 1.3 (1.1–1.5) | 1.2 (1.0–1.3) | 0.001 |
| Khorezm province | 3771 (5) | 438 (5) | 1.6 (1.4–1.8) | 1.2 (1.1–1.4) | 0.003 |
| Navoi mining company | 184 (<1) | 33 (<1) | 2.5 (1.7–3.7) | 4.9 (3.2–7.5) | <0.001 |
| Unknown | 8 | 0 | - | - | - |
| None | 65397 (81) | 6404 (68) | 1 | 1 | |
| Diabetes mellitus | 2568 (3) | 289 (3) | 1.1 (1.0–1.3) | 0.5 (0.5–0.6) | <0.001 |
| COPD | 5398 (7) | 826 (9) | 1.6 (1.4–1.7) | 1.2 (1.1–1.3) | <0.001 |
| Hypertension | 2837 (4) | 347 (4) | 1.2 (1.1–1.4) | 0.9 (0.8–1.0) | 0.02 |
| Stomach-duodenal ulcer | 720 (<1) | 71 (<1) | 1.0 (0.8–1.3) | 0.6 (0.5–0.8) | <0.001 |
| Psychological disorders | 722 (<1) | 57 (<1) | 0.8 (0.6–1.1) | 0.2 (0.1–0.3) | <0.001 |
| HIV | 710 (<1) | 103 (1) | 1.5 (1.2–1.8) | 1.5 (1.2–1.9) | <0.001 |
| Any oncological disease | 146 (<1) | 13 (<1) | 0.9 (0.5–1.6) | 0.4 (0.2–0.8) | 0.008 |
| Unknown | 2518 (3) | 1248 (13) | - | - | - |
| PTB | |||||
| Smear positive | 24480 (30) | 4483 (48) | 1.6 (1.-1.7) | 1.8 (1.7–1.9) | <0.001 |
| Smear negative | 32240 (40) | 3626 (39) | 1 | 1 | |
| No sputum/sputum result | 1940 (2) | 370 (4) | 1.7 (1.5–1.9) | 1.9 (1.6–2.2) | <0.001 |
| EPTB | 22356 (28) | 879 (9) | 0.3 (0.3–0.4) | 0.6 (0.5–0.6) | <0.001 |
| No | 75457 (93) | 6630 (71) | 1.1 (1.0–1.3) | ||
| Yes | 4810 (6) | 361 (4) | 1 | ||
| Unknown | 749 (<1) | 2367 (25) | - | ||
| No | 36663 (45) | 3128 (33) | 1 | ||
| Yes | 368 (<1) | 57 (<1) | 1.8 (1.4–2.4) | ||
| Unknown | 43985 (54) | 6173 (66) | - | ||
| Worker | 10908 (13) | 568 (6) | 1 | 1 | |
| Pupil/student | 10661 (13) | 208 (2) | 0.4 (0.3–0.4) | 0.8 (0.6–1.0) | 0.04 |
| Handicapped | 3052 (4) | 1274 (14) | 8.0 (7.2–8.9) | 10.0 (8.9–11.2) | <0.001 |
| Pre-school age | 2938 (4) | 21 (<1) | 0.1 (0.1–0.2) | 0.3 (0.2–0.5) | <0.001 |
| Pensioner | 11602 (14) | 1081 (12) | 1.8 (1.6–2.0) | 2.1 (1.8–2.4) | <0.001 |
| Jobless | 39283 (48) | 4200 (45) | 2.1 (1.9–2.2) | 2.1 (1.9–2.3) | <0.001 |
| Unknown | 2572 (3) | 2006 (21) | - | - | - |
| Treatment success | 70445 (87) | 6810 (73) | 1 | ||
| Died | 3493 (4) | 936 (10) | 2.8 (2.6–3.0) | <0.001 | |
| Failure | 1858 (2) | 480 (5) | 2.7 (2.4–3.0) | <0.001 | |
| Loss to follow up | 4162 (5) | 841 (9) | 2.1 (1.9–2.3) | <0.001 | |
| Transferred out | 1058 (1) | 291 (3) | 2.8 (2.5–3.2) | <0.001 |
COPD, Chronic Obstructive Pulmonary Disease; PTB, Pulmonary TB; EPTB, Extrapulmonary TB; OR, Odds Ratio, CI, Confidence Interval
a Adjusted odds ratios only presented for variables included in the multivariate model; 84389 records included in the multivariate model due to missing records for some variables
b Co-morbidities are generally self-reported by patients, and only one co-morbidity per patient can be reported in the electronic reporting system
d History of imprisonment not included in the multivariate model due to large amounts of unknown data