Survival status and predictors of mortality among mechanically ventilated COVID-19 patients in Addis Ababa COVID-19 Care Centers, Ethiopia: A survival analysis

Nega, Girma; Sibhat, Migbar; Mekonnen, Altayework; Techane, Tesfaye

doi:10.12688/f1000research.124586.1

Cited by 3 publications

(10 citation statements)

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“…Furthermore, having delirium as a complication during the follow-up period was reported as a significant predictor of developing cardiac arrest among ICU patients. This finding was conformable with a previous study conducted in the USA, 21 , 34 which that reported excited delirium was a risk factor for sudden cardiac arrest among individuals who required restraints. Even though, we could not find previously reported data regarding association between delirium and cardiac arrest among patients who were admitted to the ICU.…”

Section: Discussionsupporting

confidence: 91%

Incidence and Predictors of Cardiac Arrest Among Patients Admitted to the Intensive Care Units of a Comprehensive Specialized Hospital in Central Ethiopia

Ashine,

Heliso,

Babore

et al. 2024

PROM

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Background Cardiac arrest (CA) is a common public health problem. Worldwide, cardiac arrest ranks highly among hospitalised patients’ public health concerns, particularly in low-income nations. Data on cardiac arrest in intensive care units in low-income countries are relatively scarce. Determining the incidence and predictors of cardiac arrest among ICU patients will be a very crucial and fruitful clinical practice in resource-limited areas like Ethiopia. Methods A retrospective cohort study was conducted by reviewing charts of 422 systematically selected patients admitted to the ICU from 2018 to 2022 in Wachemo University Comprehensive Specialized Hospital. The extraction tool was used for the data collection, Epi-data version 4.6.0 for data entry, and STATA version 14 for data cleaning and analysis. Kaplan-Meier, log rank test, and life table were used to describe the data. The Cox proportional hazard regression model was used for analysis. Results The findings of this study revealed that the overall occurrence of cardiac arrest among critically ill ICU patients was 27% (95% CI: 23, 32). The incidence density rate of cardiac arrest among intensive care unit patients was 19.6 per 1000 person-days of observation. In a multivariable analysis, patients with chronic kidney disease, oxygen saturation <90%, delirium, intubation, and patients admitted to the ICU with cardiovascular disease were found to be independent predictors of cardiac arrest in the Intensive Care Unit. Conclusion The incidence density rate of cardiac arrest among intensive care unit patients was high. This study also revealed that chronic kidney disease, delirium, intubation, oxygen saturation level below 90% and patients admitted with cardiovascular disease were independent predictors of the occurrence of cardiac arrest among intensive care unit patients. Finally, we recommend that clinician pays attention to those identified as preventable risk factors for early interventions to improve the recovery process of patients in the ICU.

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Section: Discussionsupporting

confidence: 91%

Incidence and Predictors of Cardiac Arrest Among Patients Admitted to the Intensive Care Units of a Comprehensive Specialized Hospital in Central Ethiopia

Ashine,

Heliso,

Babore

et al. 2024

PROM

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“…The lowest magnitude of COVID-19 mortality (1.2%) was recorded in the Oromia region ( 41 ), while the highest magnitude (63.3%) was recorded in Addis Ababa ( 53 ). The maximum and minimum incidence rates of COVID-19 mortality were 56.7 per 1,000 persons per day ( 53 ) and 4.7 per 1,000 persons per day ( 46 ), respectively. The majority of studies (61.9%) were conducted between 2020 and 2021 ( Table 1 ).…”

Section: Resultsmentioning

confidence: 98%

Section: Resultsmentioning

confidence: 99%

“…Three studies ( 46 , 52 , 53 ) were used to examine the relationship between hypertension and COVID-19 mortality. One study ( 46 ) showed a significant association, whereas the other two studies ( 52 , 53 ) revealed no significant association. In the current meta-analysis, the risk of COVID-19 mortality did not differ significantly between patients with and without hypertension (AHR = 0.83, 95% CI: 0.58–1.09) in the absence of heterogeneity (I 2 = 0.0) ( Figure 7 ).…”

Section: Resultsmentioning

confidence: 99%

“…Three studies ( 40 , 52 , 53 ) were used to assess the risk of COVID-19 mortality for patients with kidney disease. One study ( 40 ) indicated a significant relationship, but two studies ( 52 , 53 ) reported no significant difference in COVID-19 mortality between patients with and without kidney disease. The result of the meta-analysis revealed that the risk of mortality from COVID-19 disease did not significantly differ between those patients with and without kidney disease (AHR = 1.08; 95% CI: 0.71–1.45).…”

Section: Resultsmentioning

confidence: 99%

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COVID-19 mortality rate and its determinants in Ethiopia: a systematic review and meta-analysis

Wondmeneh,

Mohammed

2024

Front. Med.

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BackgroundThe COVID-19 mortality rate continues to be high in low-income countries like Ethiopia as the new variant’s transmission expands and the countries’ limited capacity to combat the disease causes severe outcomes, including deaths. The aim of this study is to determine the magnitude of the COVID-19 mortality rate and its determinants in Ethiopia.MethodsThe main electronic databases searched were PubMed, CINAHL, Google Scholar, and African journals online. The included studies’ qualities were assessed independently using the Newcastle-Ottawa scale. The data was extracted in Microsoft Excel spreadsheet format. The pooled effect size and odds ratios with 95% confidence intervals across studies were determined using the random-effects model. I2 is used to estimate the percentage of overall variation across studies due to heterogeneity. Egger’s test and funnel plot were used to find the published bias. A subgroup analysis was conducted. The effect of a single study on the overall estimation was determined by sensitivity analysis.ResultsA total of 21 studies with 42,307 study participants were included in the final analysis. The pooled prevalence of COVID-19 mortality was 14.44% (95% CI: 10.35–19.08%), with high significant heterogeneity (I2 = 98.92%, p < 0.001). The risk of mortality from COVID-19 disease was higher for patients with comorbidity (AHR = 1.84, 95% CI: 1.13–2.54) and cardiovascular disease (AHR = 2, 95% CI: 1.09–2.99) than their counterparts without these conditions.ConclusionA significant number of COVID-19 patients died in Ethiopia. COVID-19 patients with comorbidities, particularly those with cardiovascular disease, should receive special attention to reduce COVID-19 mortality.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, registration identifier (ID) CRD42020165740.

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Mortality and its associated factors among mechanically ventilated adult patients in the intensive care units of referral hospitals in Northwest Amhara, Ethiopia, 2023

Tadesse,

Tilahun,

Yesuf

et al. 2024

Front. Med.

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BackgroundWorldwide, nearly half of the patients admitted to intensive care units require ventilatory support. Despite advances in intensive care unit patient management and mechanical ventilator utilization, the odds of mortality among mechanically ventilated patients are higher in resource-limited settings. Little is known about the mortality of patients on mechanical ventilation outside the capital of Ethiopia. This study aimed to assess mortality and its associated factors among mechanically ventilated adult patients in intensive care units.MethodAn institutional-based cross-sectional study was conducted on mechanically ventilated patients in intensive care units from 1 February 2020 to 1 March 2023. A simple random sampling technique was used to select 434 patients’ charts. A data extraction tool designed on the Kobo toolbox, a smartphone data collection platform, was used to collect the data. The data were exported into Microsoft Excel 2019 and then into Stata 17 for data management and analysis. Descriptive statistics were used to summarize the characteristics of the study participants. A bivariable logistic regression was conducted, and variables with p ≤ 0.20 were recruited for multivariable analysis. Statistical significance was declared at p < 0.05, and the strength of associations was summarized using an adjusted odds ratio with 95% confidence intervals.ResultA total of 404 charts of mechanically ventilated patients were included, with a completeness rate of 93.1%. The overall proportion of mortality was 62.87%, with a 95% CI of (58.16–67.58). In the multivariable logistic regression, age 41–70 years (AOR: 4.28, 95% CI: 1.89–9.62), sepsis (AOR: 2.43, 95% CI: 1.08–5.46), reintubation (AOR: 2.76, 95% CI: 1.06–7.21), and sedation use (AOR: 0.41, 95% CI: 0.18–0.98) were found to be significant factors associated with the mortality of mechanically ventilated patients in the intensive care unit.ConclusionThe magnitude of mortality among mechanically ventilated patients was high. Factors associated with increased odds of death were advanced age, sepsis, and reintubation. However, sedation use was a factor associated with decreased mortality. Healthcare professionals in intensive care units should pay special attention to patients with sepsis, those requiring reintubation, those undergoing sedation, and those who are of advanced age.

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Survival status and predictors of mortality among mechanically ventilated COVID-19 patients in Addis Ababa COVID-19 Care Centers, Ethiopia: A survival analysis

Cited by 3 publications

References 38 publications

Incidence and Predictors of Cardiac Arrest Among Patients Admitted to the Intensive Care Units of a Comprehensive Specialized Hospital in Central Ethiopia

Incidence and Predictors of Cardiac Arrest Among Patients Admitted to the Intensive Care Units of a Comprehensive Specialized Hospital in Central Ethiopia

COVID-19 mortality rate and its determinants in Ethiopia: a systematic review and meta-analysis

Mortality and its associated factors among mechanically ventilated adult patients in the intensive care units of referral hospitals in Northwest Amhara, Ethiopia, 2023

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