Trend and determinants of tuberculosis treatment outcome in a tertiary hospital in Southeast Nigeria.

J Infect Public Health

Nigeria Field Epidemiology and Laboratory Training Program, Abuja, Nigeria; Coker Aguda Local Council Development Area, Surulere Local Government Area, Lagos, Nigeria.

Published: July 2020

Introduction: Nigeria ranked 7th among the high TB burden nations globally and second most endemic in Africa. There are several highly effective interventions available for tuberculosis control. Operational challenges have been reported to interfere with the success of these interventions. This review was conducted to ascertain the treatment outcome using the Directly Observed Short Course Strategy implemented in the hospital.

Methods: A retrospective review of the Tuberculosis treatment was conducted in former Ebonyi State Teaching Hospital and Federal Teaching Hospital from 2008 to 2014 as part of the departmental critique of patients' clinical care and tuberculosis control activities. Using the facility's TB treatment register, information on the patient's demography, clinical characteristics and treatment outcome was extracted. The data were analyzed using Epi Info version 7.2. Frequencies and proportions were calculated.

Results: A total of 1070 cases were reviewed with majority 491 (45.9%) belonging to 25-44 years age group. There were 585 (54.7%) males and 68 (11.6%) paediatrics. Pulmonary tuberculosis (667, 62.3%) was the most common presentation. Among those that did sputum smear AFB, 53.2% were smear negative. In all, 91.2% of the cases were treatment naïve, 59.1% were HIV negative at beginning of their treatment while 8% had unknown HIV status. Of the treatment outcome, 40.5% were classified as treatment completed, 16.0% cured, 17.4% of the cases defaulted while 14.1% of the cases died on treatment. These patients were often referred from primary and secondary level hospitals.

Conclusions: The cure rate was very poor and treatment default rate high. The high default rate could be due to the referral nature of the hospital. The treatment success rate of 56.5% is still far below the national target of 85% treatment success rate for effective tuberculosis control. An operational research is recommended to elicit the root causes of low treatment success rate and high patient default rate.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jiph.2019.10.012DOI Listing

Publication Analysis

Top Keywords

treatment outcome
16
treatment
14
tuberculosis control
12
default rate
12
treatment success
12
success rate
12
tuberculosis treatment
8
control operational
8
teaching hospital
8
rate high
8

Similar Publications

Introduction: Lorecivivint (LOR), a CDC-like kinase/dual-specificity tyrosine kinase (CLK/DYRK) inhibitor thought to modulate inflammatory and Wnt pathways, is being developed as a potential intra-articular knee osteoarthritis (OA) treatment. The objective of this trial was to evaluate long-term safety of LOR within an observational extension of two phase 2 trials.

Methods: This 60-month, observational extension study (NCT02951026) of a 12-month phase 2a trial (NCT02536833) and 6-month phase 2b trial (NCT03122860) was administratively closed after 36 months as data inferences became limited.

View Article and Find Full Text PDF

Background: Early neurological deterioration (END) is associated with a poor prognosis in acute ischemic stroke (AIS). Effectively lowering low-density lipoprotein cholesterol (LDL-C) can improve the stability of atherosclerotic plaque and reduce post-stroke inflammation, which may be an effective means to lower the incidence of END. The objective of this study was to determine the preventive effects of evolocumab on END in patients with non-cardiogenic AIS.

View Article and Find Full Text PDF

Background: Patients with rectal cancer often experience adverse effects on urinary, sexual, and digestive functions. Despite recognised impacts and available treatments, they are not fully integrated into follow-up protocols, thereby hindering appropriate interventions. The aim of the study was to discern the activities conducted in our routine clinical practice outside of clinical trials.

View Article and Find Full Text PDF

Prediction of pulmonary embolism by an explainable machine learning approach in the real world.

Sci Rep

January 2025

Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai, People's Republic of China.

In recent years, large amounts of researches showed that pulmonary embolism (PE) has become a common disease, and PE remains a clinical challenge because of its high mortality, high disability, high missed and high misdiagnosed rates. To address this, we employed an artificial intelligence-based machine learning algorithm (MLA) to construct a robust predictive model for PE. We retrospectively analyzed 1480 suspected PE patients hospitalized in West China Hospital of Sichuan University between May 2015 and April 2020.

View Article and Find Full Text PDF

Background: Due to improved treatment options, more SMA patients reach childbearing age. Currently, limited data on pregnant SMA patients is available, especially in relation to disease-modifying therapies (DMT). This case report helps to elucidate new approaches for future guidelines in the management of pregnancy and SMA.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!