Comparison of Clinical, Radiological and Laboratory Parameters Between Elderly and Young Patient With Newly Diagnosed Smear Positive Pulmonary Tuberculosis: A Hospital-Based Cross Sectional Study

Background: Diabetes mellitus is an important risk factor associated with tuberculosis (TB). This study investigated the prevalence and determinants of hyperglycemia among newly diagnosed pulmonary tuberculosis patients in the Agona Swedru Municipality. Method: A hospital-based cross-sectional study was conducted from December 2015 to April 2016. One hundred (100) newly diagnosed pulmonary tuberculosis patients at the Agona Swedru Municipal Hospital (ASMH) were enrolled for the study. Socio-demographic, clinical and anthropometric measurements were collected and fasting blood glucose (FBG) measured using standard protocols. Data was analyzed using Statistical Package for Social Sciences (SPSS) software version 20.0. Result: Of the 100 participants, 26% had hyperglycemia. The significant factors associated with increased risk of hyperglycemia among participants were history of diabetes mellitus (OR = 8.17, p= 0.004), severity of infection (OR = 23.64, p < 0.001) and duration of symptoms (OR= 2.63, p= 0.042). Conclusion: Hyperglycemia was common among newly diagnosed pulmonary tuberculosis patients. History of diabetes mellitus, severity of infection, and duration of symptoms were the determinants of hyperglycemia in pulmonary tuberculosis. Regular screening of hyperglycemia is essential in the management of tuberculosis. Finally, further studies should be conducted on glucose levels among pulmonary tuberculosis patients using higher sample size to increase the understanding of the subject.

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Laboratory Parameters and Complication Risk Factors in Mexican COVID-19 Patients: A Cross-Sectional Study

SSRN Electronic Journal ◽

10.2139/ssrn.3634850 ◽

2020 ◽

Author(s):

Christian Omar Ramos-Peñafiel ◽

Erika Areli Rosas-Gonzalez ◽

Cristina Elizabeth Madera-Maldonado ◽

Monica Patricia Bejarano-Rosales ◽

Rafael García Rascón ◽

...

Keyword(s):

Risk Factors ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Laboratory Parameters ◽

Complication Risk

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Evaluation of the performance of clinical predictors in estimating the probability of pulmonary tuberculosis among smear-negative cases in Northern Ethiopia: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2020-037913 ◽

2020 ◽

Vol 10 (11) ◽

pp. e037913

Author(s):

Mala George ◽

Geert-Jan Dinant ◽

Efrem Kentiba ◽

Teklu Teshome ◽

Abinet Teshome ◽

...

Keyword(s):

Pulmonary Tuberculosis ◽

Cross Sectional Study ◽

Clinical Suspicion ◽

Secondary Outcome ◽

Northern Ethiopia ◽

Sectional Study ◽

Cross Sectional ◽

Smear Negative ◽

Culture Positive ◽

Culture Negative

ObjectivesTo evaluate the performance of the predictors in estimating the probability of pulmonary tuberculosis (PTB) when all versus only significant variables are combined into a decision model (1) among all clinical suspects and (2) among smear-negative cases based on the results of culture tests.DesignA cross-sectional study.SettingTwo public referral hospitals in Tigray, Ethiopia.ParticipantsA total of 426 consecutive adult patients admitted to the hospitals with clinical suspicion of PTB were screened by sputum smear microscopy and chest radiograph (chest X-ray (CXR)) in accordance with the Ethiopian guidelines of the National Tuberculosis and Leprosy Program. Discontinuation of antituberculosis therapy in the past 3 months, unproductive cough, HIV positivity and unwillingness to give written informed consent were the basis of exclusion from the study.Primary and secondary outcome measuresA total of 354 patients were included in the final analysis, while 72 patients were excluded because culture tests were not done.ResultsThe strongest predictive variables of culture-positive PTB among patients with clinical suspicion were a positive smear test (OR 172; 95% CI 23.23 to 1273.54) and having CXR lesions compatible with PTB (OR 10.401; 95% CI 5.862 to 18.454). The regression model had a good predictive performance for identifying culture-positive PTB among patients with clinical suspicion (area under the curve (AUC) 0.84), but it was rather poor in patients with a negative smear result (AUC 0.64). Combining all the predictors in the model compared with only the independent significant variables did not really improve its performance to identify culture-positive (AUC 0.84–0.87) and culture-negative (AUC 0.64–0.69) PTB.ConclusionsOur finding suggests that predictive models based on clinical variables will not be useful to discriminate patients with culture-negative PTB from patients with culture-positive PTB among patients with smear-negative cases.

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