Factors Associated with Mortality Among Hospitalized Adults with COVID-19 Pneumonia at a Private Tertiary Hospital in Tanzania: A Retrospective Cohort Study

Clinical manifestations and treatment outcomes among hospitalised COVID-19 patients in tertiary hospitals in Tanzania, 2021-2022: a retrospective cohort study

Background

There have been differential mortality rates from COVID-19 in different parts of the world. It is not clear whether the clinical presentation does also differ, thus the need for this study in a sub-Saharan African setting. The aim of this study was to describe the clinical manifestations and outcomes of patients diagnosed with COVID-19 in selected tertiary hospitals in Tanzania.

Methods

This was a retrospective analysis of hospitalised adults confirmed SAR-COV-2 infection in five tertiary-level hospitals in Tanzania. Data collected and analysed included sociodemographic, radiological and clinical characteristics of the patients as well as the outcome of the admission (discharge vs death).

Results

Out of 1387 COVID-19 patients, 52% were males. The median age was 60 years ((IQR)=(19-102)). The most common symptoms were dyspnoea (943,68%), cough (889, 64%), fever (597,43%) and fatigue (570, 41%). In-hospital mortality was (476, 34%). Mortality significantly increased with increasing age, being the most in age >90 years (aHR (95% CI)=4.4 (2.52 to 28.82), p=0.02). Other predictors of mortality were not possessing a health insurance, (aHR (95% CI)=3.7 (1.09 to 14.25), p=0.04); chest pain, (aHR (95% CI)=2.27 (1.36 to 4.13), p=0.03); HIV positivity, (aHR (95% CI)=3.9 (1.46 to 8.15), p=0.03); neutrophilia, (aHR (95% CI)=1.12 (1.01 to 2.65), p=0.03); no use of ivermectin, (aHR (95% CI)=1.21 (1.04 to 1.57), p=0.04) and non-use of steroids, (aHR (95% CI)=1.36 (1.18 to 2.78), p=0.04). The retrospective nature of this study which based on documented patients' records, with a large number of patients left out of the analysis due to missed data, this might in a way affect the results of the present study.

Conclusion

In-hospital mortality was 34%. The independent predictors of mortality were advanced age, HIV infection, no possession of a health insurance, chest pain, neutrophilia and no use of steroids or ivermectin.

Clinical characteristics and outcomes of patients admitted with COVID-19 at a public-sector hospital over the first two waves of SARS-CoV-2 infection in Harare, Zimbabwe: A prospective cohort study

BACKGROUND

We investigated the clinical profile, complications, and outcomes of inpatients with COVID-19 at Parirenyatwa Hospital, Harare, across the first two waves of SARS-CoV-2 infection, and factors associated with mortality.

METHODS

We conducted a prospective cohort study on all patients admitted to the COVID-19 unit. Data were extracted from medical records and negative binomial regression with robust standard errors was used to assess the association between sociodemographic and clinical characteristics and mortality. Cox Regression was used for sensitivity analysis.

RESULTS

Of 563 people admitted with COVID-19 between 2 July 2020 and 19 March 2021, 214 (38.0%) died, 340 were discharged and 9 transferred. The median age was 56 (IQR 44-68) years and 53.8% were male. Overall, 38.8% experienced a complication, the most common being acute kidney injury (17.9%) and hyperglycaemia (13.1%). The most common comorbidity was hypertension (41.3%) followed by diabetes (28.6%), HIV (12.1%), cardiovascular disease (10.9%) and chronic kidney disease (7.8%). Among participants who stayed in the ward for more than 1 night, mortality was higher in patients with comorbidity compared to those without any comorbidity (38.7% vs 25.5%, risk ratio (RR) = 1.52 (95% CI 1.11, 2.07), p = 0.008). After adjusting for oxygen saturation, comorbidities, sex and pregnancy, mortality was higher in the second wave than in the first (adjusted RR 1.23, 95% CI 1.00-1.51, p = 0.05). In the second wave 57/161 (35.4%) deaths were attributed to lack of resources, mainly human resources.

CONCLUSION

The mortality rate was high and clinical COVID-19 care needs to pay careful attention to patient monitoring for complications and management of comorbidities. This will require addressing the critical health workforce shortage issues. Prevention of COVID-19 including vaccination particularly among individuals with comorbidities remains a high priority.

Cost Effectiveness of Strategies for Caring for Critically Ill Patients with COVID-19 in Tanzania

BACKGROUND

The resources for critical care are limited in many settings, exacerbating the significant morbidity and mortality associated with critical illness. Budget constraints can lead to choices between investing in advanced critical care (e.g. mechanical ventilators in intensive care units) or more basic critical care such as Essential Emergency and Critical Care (EECC; e.g. vital signs monitoring, oxygen therapy, and intravenous fluids).

METHODS

We investigated the cost effectiveness of providing EECC and advanced critical care in Tanzania in comparison with providing 'no critical care' or 'district hospital-level critical care' using coronavirus disease 2019 (COVID-19) as a tracer condition. We developed an open-source Markov model ( https://github.com/EECCnetwork/POETIC_CEA ) to estimate costs and disability-adjusted life-years (DALYs) averted, using a provider perspective, a 28-day time horizon, patient outcomes obtained from an elicitation method involving a seven-member expert group, a normative costing study, and published literature. We performed a univariate and probabilistic sensitivity analysis to assess the robustness of our results.

, RESULTS

EECC is cost effective 94% and 99% of the time when compared with no critical care (incremental cost-effectiveness ratio [ICER] $37 [-$9 to $790] per DALY averted) and district hospital-level critical care (ICER $14 [-$200 to $263] per DALY averted), respectively, relative to the lowest identified estimate of the willingness-to-pay threshold for Tanzania ($101 per DALY averted). Advanced critical care is cost effective 27% and 40% of the time, when compared with the no critical care or district hospital-level critical care scenarios, respectively.

CONCLUSION

For settings where there is limited or no critical care delivery, implementation of EECC could be a highly cost-effective investment. It could reduce mortality and morbidity for critically ill COVID-19 patients, and its cost effectiveness falls within the range considered 'highly cost effective'. Further research is needed to explore the potential of EECC to generate even greater benefits and value for money when patients with diagnoses other than COVID-19 are accounted for.

Outcomes of Surgical Tracheostomy on Mechanically Ventilated COVID-19 Patients Admitted to a Private Tertiary Hospital in Tanzania

OBJECTIVES

 The coronavirus disease 2019 (COVID-19) pandemic has resulted in an increase in the number of patients necessitating prolonged mechanical ventilation. Data on patients with COVID-19 undergoing tracheostomy indicating timing and outcomes are very limited. Our study illustrates--- outcomes for surgical tracheotomies performed on COVID-19 patients in Tanzania.

METHODS

 This was a retrospective observational study conducted at the Aga Khan Hospital in Dar es Salaam, Tanzania.

RESULTS

 Nineteen patients with COVID-19 underwent surgical tracheotomy between 16^th March and 31^st December 2021. All surgical tracheostomies were performed in the operating theatre. The average duration of intubation prior to tracheotomy and tracheostomy to ventilator liberation was 16 days and 27 days respectively. Only five patients were successfully liberated from the ventilator, decannulated, and discharged successfully.

CONCLUSIONS

 This is the first and largest study describing tracheotomy outcomes in COVID-19 patients in Tanzania. Our results revealed a high mortality rate. Multicenter studies in the private and public sectors are needed in Tanzania to determine optimal timing, identification of patients, and risk factors predictive of improved outcomes.

Predictors Associated with In-hospital Mortality among COVID-19 Patients during the Second Wave in a Tertiary Care Hospital, Gujarat, India: A Retrospective Observational Study

BACKGROUND

Fatalities due to coronavirus disease 2019 (COVID-19) have already crossed to more than 5 million globally so far. Hence, it is crucial for us to identify the risk factors associated with hospital deaths starting from first contact which can help to give timely treatment to the targeted population.

OBJECTIVES

This retrospective cohort study was conducted to identify various factors related to in-hospital mortality related to COVID-19 in our region.

MATERIALS AND METHODS

The present study was a single-center, retrospective cohort study of 675 adult patients, admitted with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection between 1st April and 25th May 2021 in our tertiary care hospital. Baseline demographic profile, comorbidities, clinical characteristics, and investigatory findings were analyzed for increased odds of mortality.

RESULTS

A total of 181 (26.8%) patients died and 494 (73.2%) survived. There were 65.4% of males and no difference was found between genders in terms of mortality. Comorbidities associated with in-hospital death in our cohort were age group ≥50 years (p<0.001), diabetes (p<0.0007), and renal injury (p<0.0001). More than half of the patients died during the first week of admission. Breathlessness (83%) was the most common symptom in non-survivors. Neutrophil-to-lymphocyte ratio (NLR), S. creatinine, D-dimer, ferritin, and C-reactive protein (CRP) were increased significantly among the patients who died. Multivariate logistic regression revealed age ≥50 years [adjusted odds ratio (AOR) 2.30, 95% confidence interval (CI) 1.45-3.64] and oxygen (O2) saturation <94% at the time of admission (AOR 2.62, 95% CI 1.75-3.93) were associated with mortality.

CONCLUSION

Overall in-hospital mortality was 26.8%. Higher age and low O2 saturation were the major risk factors associated with in-hospital mortality.

Demographic, Clinical, and Co-Morbidity Characteristics of COVID-19 Patients: A Retrospective Cohort from a Tertiary Hospital in Kenya

INTRODUCTION

The first documented case of COVID-19 in Kenya was recorded March of 2020. Co-morbidities including hypertension and diabetes have been associated with increased morbidity, hospitalization, and mortality among COVID-19 patients. This retrospective study describes the clinical characteristics, disease severity, and outcomes among the patient population at a tertiary hospital in Kenya.

METHODS

This was a retrospective descriptive study of COVID-19 patients who were admitted between March 2020 and December 2020 at the Aga Khan University Hospital in Nairobi, Kenya. Data collected include patient demographic and baseline characteristics. Differences between patients who were known to have diabetes and hypertension during admission were compared for statistical significance. Difference between those who survived and those who died were also compared for statistical significance.

RESULTS

A total of 913 records of patients were studied with a mean age of 51.2 years (SD = 16.7), 66.5% were male and 80.8% were of African origin. History of diabetes, hypertension, and HIV status were at 27.3%, 33.1%, and 2.3%, respectively. At presentation, 33.1% (302/913) of patients had known hypertension by history, and following admission, this proportion increased to 37.7% (344/913). At presentation, 27.3% (249/913) of patients had known diabetes. During hospital stay, 20.8% (190) more patients were found to have diabetes, raising the overall percent to 48.1% (439/913). When comparing diabetes and hypertension at baseline versus at the end of admission, diabetes increased by 20.8% (p < 0.001) and hypertension by 4.6% (p = 0.049). HIV co-infection was 2.3%, and no patient had tuberculosis.

CONCLUSION

This study showed a high incidence of co-morbidities in patients infected with COVID-19. Diabetes was most common, followed by hypertension. All patients admitted with COVID-19 infection should routinely be tested for diabetes with HbA1c and have regular blood pressure monitoring in order to diagnose occult diabetes and hypertension. Adverse outcomes were found in patients with these co-morbidities and should be monitored and treated appropriately.

Evaluation of Antibacterial and Antiviral Drug Effectiveness in COVID-19 Therapy: A Data-Driven Retrospective Approach

The clinical manifestations associated with COVID-19 disease is mainly due to a dysregulated host response related to the overexpression of inflammatory markers. Until recently, only remdesivir had gained FDA approval for COVID-19 hospitalized patients and there are currently no evidence-based therapeutic options or options for prevention of complications that have been established. Some medical treatments such as antivirals, antibacterials, antithrombotics, antipyretics, corticosteroids, interleukin inhibitors, monoclonal antibodies, convalescent plasma, immunostimulants, and vitamin supplements have been utilized. However, there are limited data to support their effectiveness. Hence, this study was attempted to identify and evaluate the effectiveness of antibacterials and antivirals used for COVID-19 using a retrospective cross-sectional approach based on the medical records of adult patients in four hospitals. The number of antibacterials was calculated in defined daily dose (DDD) per 100 bed-days unit. Both mixed-logit regression and analysis of covariance were used to determine the effectiveness of the aforementioned agents in relation to COVID-19 outcome and patients' length of stay. The model was weighed accordingly and covariates (e.g., age) were considered in the model. Heart disease was found to be the most common pre-existing condition of COVID-19 hospitalized patients in this study. Azithromycin, an antibacterial in the Watch category list, was used extensively (33-65 DDD per 100 bed-days). Oseltamivir, an antiviral approved by the FDA for influenza was the most prescribed antiviral. In addition, favipiravir was found to be a significant factor in improving patients' COVID-19 outcomes and decreasing their length of stay. This study strongly suggests that COVID-19 patients' received polypharmacy for their treatment. However, most of the drugs used did not reach statistical significance in improving the patients' condition or decreasing the length of stay. Further studies to support drug use are needed.