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Background: This study examined the time to sputum smear and culture conversion and determinants of conversion, as well as variables associated with treatment outcomes among drug-resistant pulmonary tuberculosis (DR-PTB) cases. Methods: The electronic database and written medical records of patients were utilized to assess the sociodemographic, clinical, microbiological, and treatment characteristics and outcomes of study participants. Results: Among 736 patients with pulmonary tuberculosis (PTB), the mean age was 36.5 ± 16.5 years, with males comprising 53.4% and a mean weight of 47.76 ± 11.97 kg. The median time period for sputum smear conversion and sputum culture conversion was a month. The first-month culture conversion (p < 0.001, aOR = 5.817, and 95% CI = 3.703-9.138) was the determinant of sputum smear conversion and receiver operating curve analysis with AUC = 0.881, 95% CI = 0.855-0.907, and p < 0.001, which showed a high level of predictive ability for the regression model for the initial sputum smear conversion. However, the first-month sputum conversion (p < 0.001, aOR = 7.446, and 95% CI = 4.869-11.388) was attributed to sputum culture conversion, and the model has shown excellent predictive ability for regression with ROC curve analysis demonstrating AUC = 0.862, 95% CI = 0.835-0.889, and p < 0.001. A total of 63.2% of patients showed favorable treatment outcomes, with 63.1% of cases achieving treatment-cured status. The previous use of SLD, history of smoking, duration of illness ≤ 1 year, extensively drug-resistant tuberculosis, and first-month sputum conversion were the variables attributed to favorable treatment outcomes observed in drug-resistant pulmonary tuberculosis cases. ROC curve analysis with AUC = 0.902, 95% CI = 0.877-0.927, and p < 0.001) has shown outstanding ability for regression model prediction for the variables influencing treatment outcomes. Conclusions: Within 2 months of treatment, most patients had converted their sputum cultures and sputum smears. The determinants of early sputum smear and sputum culture conversion, as well as favorable treatment outcomes, were identified. These factors should be considered during the design and implementation of effective strategies for drug-resistant tuberculosis control programs.
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BACKGROUND: Drug resistant tuberculosis (DR-TB) infringes substantial burden in terms of longer treatment duration, morbidity and mortality. Timely identification of patients at risks of DR-TB will aid individualized treatment. Current study was aimed to ascertain several factors associated with DR-TB among patients attending a tertiary care hospital. METHODS: This retrospective study was conducted among patients with confirmed diagnosis of DR-TB and drug susceptible TB (DS-TB) seeking medical care from a tertiary care hospital during 2014-2019. The types of DR-TB included were rifampicin resistant tuberculosis (RR-TB), Multidrug resistant tuberculosis (MDR-TB) and extensively drug resistant tuberculosis (XDR-TB). Appropriate statistical methods were implied to evaluate the factors associated with DR-TB. RESULTS: Out of 580 patients, DS-TB was diagnosed in 198 (34.1%) patients while DR-TB was present in 382 patients. Of resistance cases, RR-TB, MDR-TB and XDR-TB were diagnosed in 176 (30.3%), 195 (33.6%) and 11 (1.9%) patients, respectively. Significant differences (P < 0.05) in demographics and clinico-laboratory characteristics were observed between patients with DS-TB and DR-TB. Logistic regression analysis revealed age ≤38 years (OR: 2.5), single marital status (OR: 11.1), tobacco use (OR: 2.9), previous treatment (OR: 19.2), treatment failure (OR: 9.2) and cavity on chest X-ray (OR: 30.1) as independent risk factors for MDR-TB. However, XDR-TB was independently associated with age group of ≤38 years (OR: 13.6), students (OR: 13.0), previous treatment (OR: 12.5), cavity on chest X-ray (OR: 59.6). The independent risk factors associated with RR-TB are age ≤38 years (OR: 2.8), females (OR: 5.7), unemployed (OR: 41.5), treatment failure (OR: 4.9), previous treatment (OR: 38.2) and cavity on chest X-ray (OR: 4.3). ROC curve analysis accentuate the excellent predictive accuracy of all logistic regression models as shown by AUC (0.968, P < 0.001) for MDR-TB, AUC (0.941, P < 0.001) for XDR-TB and AUC (0.962, P < 0.001) for RR-TB. CONCLUSIONS: Current study demonstrates a sizeable extent of resistant cases among pulmonary TB patients. This study presaged significant risk of DR-TB among females, young adults, unemployed, smokers, patients with previous treatment failure and cavitation on chest X-ray. Timely identification of high risk patients will give pronounced advantages regarding appropriate choices of prevention, treatment and disease control.
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BACKGROUND: Pneumonia-associated septic shock (PASS) in patients with cancer inflicts healthcare burden attributed to high morbidity and mortality. Current study was aimed to evaluate the clinical outcomes, microbiological characteristics, risk factors and impact of life-support interventions on 28-day mortality among cancer patients with PASS. METHODS: A prospective observational study was conducted among cancer patients with PASS admitted to intensive care unit (ICU) of 'Shaukat Khanum Memorial Cancer Hospital'. Data were analysed using appropriate statistical methods. RESULTS: Out of 100 patients who sought medical care during the study period, 59 (59%) were male and majority had solid tumour than haematological malignancies (68% vs 32%). Nosocomial pneumonia was most frequent (90%) followed by healthcare-associated pneumonia (HCAP) (9%) and community-acquired pneumonia (CAP) (1%). The most common causative pathogen was Pseudomonas aeruginosa, 21 (32%). Overall mortality rate was 76% including 15% hospital and 61% ICU mortality. Sequential Organ Failure Assessment (SOFA) score at first day (HR 3.8; 95% CI 1.7 to 8.9; p=0.002), SOFA score at seventh day (HR 8.9; 95% CI 3.6 to 22.7; p=<0.001), invasive mechanical ventilation (HR 8.0; 95% CI 3.2 to 20; p<0.001) and performance status (HR 5.4; 95% CI 2.5 to 11.3; p<0.001) were found to be independently associated with 28-day mortality. Receiver operating characteristic curve analysis accentuates the excellent predictive accuracy of Cox regression model for mortality indicated by area under the curve of 0.892 (95% CI 0.801 to 0.983, p<0.001). CONCLUSION: Our analysis demonstrates substantial mortality associated with PASS among patients with cancer. Timely recognition of patients with high predilection of increased mortality could be of value in improving the disease burden.
