Knowledge and associated factors of healthcare professionals in detecting patient-ventilator asynchrony using waveform analysis at intensive care units of the federal public hospitals in Addis Ababa, Ethiopia, 2023.

BACKGROUND: The interaction between the patient and the ventilator is often disturbed, resulting in patient-ventilator asynchrony (PVA). Asynchrony can lead to respiratory failure, increased artificial ventilation time, prolonged hospitalization, and escalated healthcare costs. Professionals' knowledge regarding waveform analysis has significant implications for improving patient outcomes and minimizing ventilation-related adverse events. Studies investigating the knowledge of healthcare professionals on patient-ventilator asynchrony and its associated factors in the Ethiopian context are limited. Therefore, this study aimed to assess the knowledge of healthcare professionals about using waveform analysis to detect asynchrony. METHODS: A multicenter cross-sectional study was conducted on 237 healthcare professionals (HCPs) working in the intensive care units (ICUs) of federal public hospitals in Addis Ababa, Ethiopia, from December 2022 to May 2023. The data were collected using a structured and pretested interviewer-administered questionnaire. Then, the collected data were cleaned, coded, and entered into Epi data V-4.2.2 and exported to SPSS V-27 for analysis. After description, associations were analyzed using binary logistic regression. Variables with a P-value of < 0.25 in the bivariable analysis were transferred to the multivariable analysis. Statistical significance was declared using 95% confidence intervals, and the strengths of associations were reported using adjusted odds ratios (AORs). RESULTS: A total of 237 HCPs participated in the study with a response rate of 100%. Half (49.8%) of the participants were females. The mean age of the participants was 29 years (SD = 3.57). Overall, 10.5% (95% CI: 6.9-15.2) of the participants had good knowledge of detecting PVA using waveform analysis. In the logistic regression, the number of MV-specific trainings and the training site had a statistically significant association with knowledge of HCPs. HCPs who attended more frequent MV training were more likely to have good knowledge than their counterparts [AOR = 6.88 (95% CI: 2.61-15.45)]. Additionally, the odds of good knowledge among professionals who attended offsite training were 2.6 times higher than those among professionals trained onsite [AOR = 2.63 (95% CI: 1.36-7.98)]. CONCLUSION: The knowledge of ICU healthcare professionals about the identification of PVA using waveform analysis is low. In addition, the study also showed that attending offsite MV training and repeated MV training sessions were independently associated with good knowledge. Consequently, the study findings magnify the relevance of providing frequent and specific training sessions focused on waveform analysis to boost the knowledge of HCPs.

Incidence of switching to second-line antiretroviral therapy and its predictors among children on antiretroviral therapy at general hospitals, Northern Ethiopia: A survival analysis.

BACKGROUND: With expanding access to pediatric antiretroviral therapy, several patients in the developing world were switched to the second-line regimen, and some require third-line medications. A delay in a second-line switch is associated with an increased risk of mortality and other undesired therapeutic outcomes, drives up program costs, and challenges the pediatric antiretroviral therapy service. Nevertheless, there remain limited and often conflicting estimates on second-line antiretroviral therapy use during childhood, especially in resource-limited settings like Ethiopia. Thus, this study intended to determine the incidence and predictors of switching to second-line antiretroviral therapy among children. METHODS: A retrospective cohort study was conducted by reviewing records of 424 randomly selected children on first-line antiretroviral therapy from January 2014 to December 2018 at public hospitals in the Central and Southern Zones of Tigray, Northern Ethiopia. Data were collected using extraction tool; entered into Epi-data; cleaned, and analyzed by STATA version-14. Kaplan-Meier curve, log-rank test, and life table were used for data description and adjusted hazard ratios and p-value for analysis by Cox proportional hazard regression. Variables at a P-value of ≤0.20 in the bi-variable analysis were taken to multivariable analysis. Finally, statistical significance was declared at a P-value of ≤0.05. RESULTS AND CONCLUSION: Analysis was conducted on 424 charts with a total person-time observation of 11686.1 child-months and an incidence switch rate of 5.6 (95%CI: 4.36-7.09) per 1000 child-month-observations. Being orphan [AHR = 2.36; 95%CI: 1.10-5.07], suboptimal adherence [AHR = 2.10; 95% CI: 1.12-3.92], drug toxicity [AHR = 7.05; 95% CI: 3.61-13.75], advanced latest clinical stage [AHR = 2.75; 95%CI: 1.05-7.15], and tuberculosis co-infection at baseline [AHR = 3.08; 95%CI: 1.26-7.51] were significantly associated with switch to second-line antiretroviral therapy regimen. Moreover, a long duration of follow-up [AHR = 0.75; 95% CI: 0.71-0.81] was associated with decreased risk of switching. Hence, it is better to prioritize strengthening the focused evaluation of tuberculosis co-infection and treatment failure with continuous adherence monitoring. Further research is also needed to evaluate the effect of drug resistance.

Burden of lower respiratory infections and associated risk factors across regions in Ethiopia: a subnational analysis of the Global Burden of Diseases 2019 study.

OBJECTIVE: This analysis is to present the burden and trends of morbidity and mortality due to lower respiratory infections (LRIs), their contributing risk factors, and the disparity across administrative regions and cities from 1990 to 2019. DESIGN: This analysis used Global Burden of Disease 2019 framework to estimate morbidity and mortality outcomes of LRI and its contributing risk factors. The Global Burden of Disease study uses all available data sources and Cause of Death Ensemble model to estimate deaths from LRI and a meta-regression disease modelling technique to estimate LRI non-fatal outcomes with 95% uncertainty intervals (UI). STUDY SETTING: The study includes nine region states and two chartered cities of Ethiopia. OUTCOME MEASURES: We calculated incidence, death and years of life lost (YLLs) due to LRIs and contributing risk factors using all accessible data sources. We calculated 95% UIs for the point estimates. RESULTS: In 2019, LRIs incidence, death and YLLs among all age groups were 8313.7 (95% UI 7757.6-8918), 59.4 (95% UI 49.8-71.4) and 2404.5 (95% UI 2059.4-2833.3) per 100 000 people, respectively. From 1990, the corresponding decline rates were 39%, 61% and 76%, respectively. Children under the age of 5 years account for 20% of episodes, 42% of mortalities and 70% of the YLL of the total burden of LRIs in 2019. The mortality rate was significantly higher in predominantly pastoralist regions-Benishangul-Gumuz 101.8 (95% UI 84.0-121.7) and Afar 103.7 (95% UI 86.6-122.6). The Somali region showed the least decline in mortality rates. More than three-fourths of under-5 child deaths due to LRIs were attributed to malnutrition. Household air pollution from solid fuel attributed to nearly half of the risk factors for all age mortalities due to LRIs in the country. CONCLUSION: In Ethiopia, LRIs have reduced significantly across the regions over the years (except in elders), however, are still the third-leading cause of mortality, disproportionately affecting children younger than 5 years old and predominantly pastoralist regions. Interventions need to consider leading risk factors, targeted age groups and pastoralist and cross-border communities.

Risk factors of early mortality among COVID-19 deceased patients in Addis Ababa COVID-19 care centers, Ethiopia.

BACKGROUND: Severe acute respiratory syndrome coronavirus-2 is a global health care problem with high mortality. Despite early mortality seeming alarming, data regarding factors that lead to increased early mortality of COVID 19 patients is not well-documented yet. The objective of this study was to identify the risk factors of early mortality in patients with confirmed COVID-19 infections. METHODOLOGY: A case-control study design was employed. With this, a total of 261 COVID-19 deceased recordings were reviewed. The cases of the study were recordings of patients deceased within three days of intensive care unit admission whereas, the rest 187 were recordings of patients who died after three days of admission. Data were collected using an extraction checklist, entered into Epi data version 4.4.2.2, and analyzed by SPSS version 25. After the description, binary logistic regression was run to conduct bivariate and multivariable analyses. Finally, statistical significance was declared at p-value <0.05, and an adjusted odds ratio with a 95% confidence interval was used to report the strength of association. RESULT: The analysis was performed on 261 (87 cases and 174 controls) recordings. About 62.5% of the participants were aged above 65 years and two-thirds were males. The presence of cardiovascular disease (AOR = 4.79, with 95%CI: 1.73, 13.27) and bronchial-asthma (AOR = 6.57; 95% CI: 1.39, 31.13) were found to have a statistically significant association with early mortality. The existence of complications from COVID-19 (AOR = 0.22; 95% CI: 0.07, 0.74) and previous history of COVID-19 infection (AOR = 0.17, 95% CI: 0.04, 0.69) were associated with decreased risk of early mortality. CONCLUSIONS: Having cardiovascular diseases and bronchial asthma was associated with an increased risk of early mortality. Conversely, the presence of intensive care unit complications and previous history of COVID-19 infection were associated with decreased risk of early mortality.

Incidence and predictors of attrition among children attending antiretroviral follow-up in public hospitals, Southern Ethiopia, 2020: a retrospective study.

Background: It is a global challenge to enrol and retain paediatric patients in HIV/AIDS care. Attrition causes preventable transmission, stoppable morbidity and death, undesirable treatment outcomes, increased cost of care and drug resistance. Thus, this study intended to investigate the incidence and predictors of attrition among children receiving antiretroviral treatment (ART). Method: A retrospective follow-up study was conducted among children <15 years who had ART follow-up in Gedeo public hospitals. After collection, data were entered into Epi-data V.4.6, then exported to and analysed using STATA V.14. Data were described using the Kaplan-Meier statistics, life table and general descriptive statistics. The analysis was computed using the Cox proportional hazard regression model. Covariates having <0.25 p values in the univariate analysis (such as developmental stage, nutritional status, haemoglobin level, adherence, etc) were fitted to multivariable analysis. Finally, statistical significance was declared at a p value of <0.05. Results: An overall 254 child charts were analysed. At the end of follow-up, attrition from ART care was 36.2% (92 of 254), of which 70 (76.1%) were lost to follow-up, and 22 (23.9%) children died. About 8145.33 child-months of observations were recorded with an incidence attrition rate of 11.3 per 1000 child-months (95% CI: 9.2 to 13.9), whereas the median survival time was 68.73 months. Decreased haemoglobin level (<10 g/dl) (adjusted HR (AHR)=3.1; 95% CI: 1.4 to 6.9), delayed developmental milestones (AHR=3.6; 95% CI: 1.2 to 10.7), underweight at baseline (AHR=5.9; 95% CI: 1.6 to 21.7), baseline CD4 count ≤200 (AHR=4.4; 95% CI: 1.6 to 12.2), and poor or fair ART adherence (AHR=3.5; 95% CI: 1.5 to 7.9) were significantly associated with attrition. Conclusion and recommendation: Retention to ART care is challenging in the paediatrics population, with such a high attrition rate. Immune suppression, anaemia, underweight, delayed developmental milestones and ART non-adherence were independent predictors of attrition to ART care. Hence, it is crucial to detect and control the identified predictors promptly. Serious adherence support and strengthened nutritional provision with monitoring strategies are also essential.

Time to Relapse and Its Predictors among Children with Nephrotic Syndrome in Comprehensive Specialized Hospitals, Tigray, Ethiopia, 2019.

BACKGROUND: Relapse in children with nephrotic syndrome leads to a variety of complications due to prolonged treatment and potential dependency on steroids. However, there is no study conducted to determine the incidence and predictive factors of relapse for nephrotic syndrome in Ethiopia, especially in children. Thus, this study aimed to assess the incidence of relapse and its predictors among children with nephrotic syndrome in Ethiopia. METHODS: A retrospective study was conducted by reviewing all charts of children with an initial diagnosis of the nephrotic syndrome in tertiary hospitals from 2011 to 2018. Charts of children with a diagnosis of steroid-resistant cases were excluded. The extraction tool was used for data collection, Epi-data manager V-4.4.2 for data entry, and Stata V-14 for cleaning and analysis. Kaplan-Meier curve, log-rank test, life table, and crude hazard ratios were used to describe the data and adjusted hazard ratios with 95% CI and P value for analysis. Median relapse time, incidence rate of relapse, and cumulative relapse probabilities at a certain time interval were computed. Bivariable and multivariate analyses were performed using the Cox proportional hazard regression to identify the factors associated with relapse. Any variable at P < 0.25 in the bivariable analysis was transferred to multivariate analysis. Then, the adjusted hazard ratio with 95% CI and P ≤ 0.05 was used to report the association and to test the statistical significance, respectively. Finally, texts, tables, and graphs were used to present the results. Results and Conclusion. Majority, 64.5% (40/66), of relapses were recorded in the first 12 months of follow-up. The incidence rate of relapse was 42.6 per 1000 child-month-observations with an overall 1454 child-month-observations and the median relapse time of 16 months. Having undernutrition [AHR = 3.44; 95% CI 1.78-6.65], elevated triglyceride [AHR = 3.37; 95% CI 1.04-10.90], decreased serum albumin level [AHR = 3.51; 95% CI 1.81-6.80], and rural residence [AHR = 4.00; 95% CI 1.49-10.76] increased the hazard of relapse. Conclusion and Recommendation. Relapse was higher in the first year of the follow-up period. Undernutrition, hypoalbuminemia, hypertriglyceridemia, and being from rural areas were independent predictors of relapse. A focused evaluation of those predictors during the initial diagnosis of the disease is compulsory.

Risk Factors of Perinatal Asphyxia Among Newborns Delivered at Public Hospitals in Addis Ababa, Ethiopia: Case-Control Study.

BACKGROUND: Perinatal asphyxia determines the newborn's future health status and viability with risk factors yet to be completely understood. It measures the status of the healthcare delivery of an organization including antenatal, intranatal, and postnatal care. In Ethiopia, 31.6% of neonatal mortality was attributed to perinatal asphyxia. This study aimed to assess the risk factors of perinatal asphyxia. METHODS: An unmatched case-control study was conducted on 213 (71 cases selected using lottery method and 142 controls systematically) subjects in Addis Ababa from November 1, 2018 to June 30, 2019. Data were collected using a structured questionnaire through face-to-face interviews, entered to Epi data version 4.4, and exported to SPSS version 25 for analysis. Logistic regression was used for analysis. Variables with p< 0.25 in bivariate analysis were taken to multivariable analysis. Statistical significance was declared at P<0.05 and findings were presented using texts and tables. RESULTS: A total of 210 newborns (70 cases and 140 controls) and their mothers were included with an overall response rate of 98.5%. Antepartum hemorrhage [AOR=7.17; 95% CI 1.73-29.72], low birth weight [AOR=2.87; 95% CI 1.01-8.13], preterm birth [AOR=3.4; 95% CI 1.04-11.16], caesarean section delivery [AOR=2.75; 95% CI 1.01-7.42], instrumental delivery [AOR=4.88; 95% CI 1.35-17.61], fetal distress [AOR=4.77; 95% CI 1.52-14.92] and meconium-stained amniotic fluid [AOR=9.02; 95% CI 2.96-30.24] were significantly associated with perinatal asphyxia. Hence, efforts ought to go to improve the quality of antenatal and intra-natal services.

Incidence and Predictors of Treatment Failure Among Children Receiving First-Line Antiretroviral Treatment in General Hospitals of Two Zones, Tigray, Ethiopia, 2019.

BACKGROUND: Despite many efforts undertaken to control the human immunodeficiency virus epidemic, it remains to be the major global public health challenge. With expanding access to pediatric antiretroviral therapy, children are more likely to experience treatment failure. All previous studies conducted in Ethiopia estimated treatment failure using only clinical and CD4 criteria. Thus, the ART failure rate is expected to be underestimated in our country. OBJECTIVES OF THE STUDY: To assess the incidence and predictors of treatment failure among children receiving first-line ART in general hospitals of Mekelle and Southern Zones of Tigray region, Ethiopia, 2019. METHODS: Retrospective follow up study was employed. The sample size was estimated based on a Log rank test using Stata V-13 and all 404 charts were taken for review. Data were collected by extraction tool; entered using Epi-data manager; cleaned and analyzed by Stata V-14. Data were described using the Kaplan-Meier curve, Log rank test, life table, and crude hazard ratios and analyzed using adjusted hazard ratios and p-value by Cox proportional hazard regression. Any variable at P <0.05 in the bi-variable analysis was taken to multi-variate analysis and significance was declared at P≤ 0.05. Data were presented using tables, charts, and texts. RESULTS: The incidence rate of ART failure was 8.68 (95% CI 7.1 to 10.6) per 1000 person-month observations with a total of 11,061.5 person-month observations. Children who had tuberculosis at baseline [AHR=2.27; 95% CI 1.12-4.57], advanced recent WHO stage [AHR=5.21; 95% CI 2.75-9.88] and sub-optimal ART adherence [AHR=2.84, 95% CI 1.71-4.72] were at higher hazard for first-line treatment failure. Besides this having a long duration of ART follow up [AHR=0.85; 95% CI 0.82-0.87] was found to be protective against treatment failure. CONCLUSION AND RECOMMENDATION: The incidence of first-line ART failure was grown as a major public health concern. Treatment failure was predicted by the duration of follow up, advanced recent WHO stage, sub-optimal adherence, as well as the presence of tuberculosis at baseline. Hence, it is better to give priority for strengthening the focused evaluation of the WHO clinical stage and tuberculosis co-infection at baseline with continuous adherence monitoring.