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Abstract Background Postpartum hemorrhage is one of the leading causes of maternal deaths worldwide. Early recovery is a performance indicator and better health outcome of patients with postpartum hemorrhage. Therefore, this study aimed to assess time to recovery from postpartum hemorrhage and its predictors in Debre Markos Comprehensive Specialized Hospital, Ethiopia, 2020. Methods A retrospective follow-up study was conducted among 302 women who were diagnosed with postpartum hemorrhage from January 1, 2016 to December 31, 2020 at Debre Markos Comprehensive Specialized Hospital. Consecutive sampling technique was employed. To show the statistical significant difference between each group of variables, log rank test was used. Kaplan Meier analysis to estimate time to recovery and cox proportional-hazard regression analysis to determine independent predictors were carried out cautiously. Adjusted hazard ratio used to determine the strength of association. Result The median recovery time from postpartum hemorrhage was 13 h with range of (10 to 17 h). Blood transfusion (AHR: 1.8, 95% CI (1.39, 2.57)), NASG utilization (AHR: 6.5, 95% CI (4.58, 9.42)) fluid resuscitation (AHR 2.9, 95% CI (1.48, 5.54)), active management of third stage of labor (AHR: 1.7, 95% CI (1.18, 2.45)) and history of antenatal care follow-up (AHR: 2.6, 95% CI (1.91, 3.56)) were the predictors, which shorten the recovery time. Comorbidities like anemia at the time of admission (AHR: 0.62 95% CI (0.44, 0.89)), retroviral infection (AHR: 0.33, 95% CI (0.16, 0.67)) and Hepatitis B-Virus infection (AHR: 0.52, 95% CI (0.32, 0.82)) delay the recovery rate from postpartum hemorrhage. Conclusion Mothers in North-West Ethiopia stays morbid from postpartum hemorrhage for more than half a day. Their recovery time was affected by Non-Pneumatic Anti-Shock Garment utilization, implementation of emergency management components like blood transfusion and fluid resuscitation, history of antenatal care follow up, and being comorbid with viral infections. Non-pneumatic anti-shock garment application to every mother with postpartum hemorrhage and implementation of proper emergency management approach are vital for rapid recovery from postpartum hemorrhage.

BackgroundPuerperal sepsis is one of the leading causes of maternal mortality, particularly in low and middle-income countries where most maternal deaths occur. Women with puerperal sepsis are prone to long-term disabilities, such as chronic pelvic pain, blocked fallopian tubes, and secondary infertility. Besides this, puerperal sepsis has received less attention. For this reason, this study aimed to determine the incidence of puerperal sepsis and its predictors among postpartum women at Debre Markos Comprehensive Specialized Hospital.MethodsA prospective cohort study was conducted among 330 postpartum women from September 2020 to 2021. A pre-tested interviewer-administered questionnaire with a data extraction checklist was used to collect the data. Data were entered into Epi data 4.2 and analyzed using STATA 14.0. The incidence rate of puerperal sepsis was calculated, and a Kaplan-Meier survival curve was used to estimate the survival probability of developing puerperal sepsis. The cox-proportional hazards regression model was fitted to identify predictors of puerperal sepsis.ResultsThe study participants were followed for a total of 1685.3 person-week observations. The incidence rate of puerperal sepsis was 14.24 per 1,000 person-weeks. However, the overall incidence of puerperal sepsis was 7.27%. Not attending formal education [AHR: 3.55, 95% CI: (1.09–11.58)], a cesarean delivery [AHR: 4.50; 95% CI: (1.79–11.30)], premature rupture of the membranes [AHR: 3.25; 95% CI: (1.08–9.79)], complicated pregnancy [AHR: 4.80; 95% CI: (1.85–12.43)], being referred [AHR: 2.90; 95% CI: (1.10–7.65)], and not having birth preparedness and complication readiness plan [AHR: 2.95; 95% CI: (1.08–10.50)] were statistically significant predictors of puerperal sepsis.ConclusionThe incidence of puerperal sepsis was 7.27%. Not attending formal education, cesarean delivery, premature rupture of membranes, complicated pregnancy, referral status, and absence of birth preparedness and complication readiness plan were predictors associated with the incidence of puerperal sepsis.

Background: Postpartum hemorrhage is one of the leading causes of maternal deaths worldwide. Early recovery is a performance indicator and better health outcome of patients with postpartum hemorrhage. Therefore, this study aimed to assess time to recovery from postpartum hemorrhage and its predictors in Debre Markos Comprehensive Specialized Hospital, Ethiopia, 2020.Methods: A retrospective follow-up study was conducted among 302 women who were diagnosed with postpartum hemorrhage from January 1, 2016 to December 31, 2020 at Debre Markos Comprehensive Specialized Hospital. Consecutive sampling technique was employed. To show the statistical significant difference between each group of variables, log rank test was used. Kaplan Meier analysis to estimate time to recovery and cox proportional-hazard regression analysis to determine independent predictors were carried out cautiously. Adjusted hazard ratio used to determine the strength of association.Result: The median recovery time from postpartum hemorrhage was 13 h with range of (10 to 17 h). Blood transfusion (AHR: 1.8, 95% CI (1.39, 2.57)), NASG utilization (AHR: 6.5, 95% CI (4.58, 9.42)) fluid resuscitation (AHR 2.9, 95% CI (1.48, 5.54)), active management of third stage of labor (AHR: 1.7, 95% CI (1.18, 2.45)) and history of antenatal care follow-up (AHR: 2.6, 95% CI (1.91, 3.56)) were the predictors, which shorten the recovery time. Comorbidities like anemia at the time of admission (AHR: 0.62 95% CI (0.44, 0.89)), retroviral infection (AHR: 0.33, 95% CI (0.16, 0.67)) and Hepatitis B-Virus infection (AHR: 0.52, 95% CI (0.32, 0.82)) delay the recovery rate from postpartum hemorrhage.Conclusion: Mothers in North-West Ethiopia stays morbid from postpartum hemorrhage for more than half a day. Their recovery time was affected by Non-Pneumatic Anti-Shock Garment utilization, implementation of emergency management components like blood transfusion and fluid resuscitation, history of antenatal care follow up, and being comorbid with viral infections. Non-pneumatic anti-shock garment application to every mother with postpartum hemorrhage and implementation of proper emergency management approach are vital for rapid recovery from postpartum hemorrhage. [ABSTRACT FROM AUTHOR]

Molla Yigzaw Birhanu,1 Habtamu Temesgen,2 Gebreselassie Demeke,3 Moges Agazhe Assemie,4 Alehegn Aderaw Alamneh,2 Melaku Desta,5 Milkiyas Toru,3 Daniel Bekele Ketema,4 Cheru Tesema Leshargie1 1Department of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia; 2Department of Human Nutrition and Food Sciences, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia; 3Department of Medical Laboratory Sciences, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia; 4Department of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia; 5Department of Midwifery, College of Health Sciences, Debre Markos University, Debre Markos, EthiopiaCorrespondence: Molla Yigzaw BirhanuCollege of Health Sciences, Debre Markos University, P.O. Box 269, Debre Markos, EthiopiaEmail mollayigzaw33@gmail.comBackground: Pre-eclampsia is a pregnancy-induced hypertension that occurs after 20 weeks of gestation. It is the leading cause of maternal and perinatal morbidity and mortality globally, but it is higher in developing countries. In Ethiopia, conducting research on the incidence and predictors of pre-eclampsia is crucial due to the paucity of information.Methods: A prospective cohort study was undertaken using 242 pregnant women between November 1, 2018 and March 30, 2019 at Debre Markos Referral Hospital. All eligible women who fulfilled the inclusion criteria were included in this study. Data were entered into the epic-data Version 4.2 and analyzed using the STATA Version 14.0 software. The Cox-proportional hazard regression model was fitted and Cox-Snell residual test was used to assess the goodness of fit. Pre-eclampsia free survival time was estimated using the Kaplan–Meier survival curve. Both bivariable and multivariable Cox-proportional hazard regression models were fitted to identify predictors of pre-eclampsia.Results: The overall incidence rate of pre-eclampsia was 3.35 per 100 person-years. Having a pre-existing history of diabetes mellitus [AHR=2.7 (95% CI=1.43– 8.81)], having a history of multiple pregnancy [AHR=3.4 (95% CI=2.8– 6.9)] and being ≥ 35 years old age [AHR=2.5 (95% CI=1.42– 3.54)] were the significant predictors of pre-eclampsia.Conclusion: The incidence of pre-eclampsia was high in this study. Having (pre-existing diabetes and multiple pregnancy) and being ≥ 35 years old age were the significant predictors of pre-eclampsia. Inspiring pregnant women’s health-seeking behavior should provide a chance to diagnose pre-eclampsia early to prevent the medical complication of pre-eclampsia.Keywords: pre-eclampsia, incidence, predictors, pregnant women, Debre Markos, Ethiopia

Abstract Background Despite the rapid expansion of antiretroviral therapy services, ‘loss to follow-up’ is a significant public health concern globally. Loss to follow-up of individuals from ART has a countless negative impact on the treatment outcomes. There is, however, limited information about the incidence and predictors of loss to follow-up in our study area. Thus, this study aimed to determine the incidence rate and predictors of loss to follow-up among adult HIV patients on ART. Methods A retrospective cohort study was undertaken using 484 HIV patients between January 30, 2008, and January 26, 2018, at Debre Markos Referral Hospital. All eligible HIV patients who fulfilled the inclusion criteria were included in this study. Data were entered into Epi-data Version 4.2 and analyzed using STATATM Version 14.0 software. The Nelson-Aalen cumulative hazard estimator was used to estimate the hazard rate of loss to follow-up, and the log-rank test was used to compare the survival curve between different categorical variables. Both bivariable and multivariable Cox-proportional hazard regression models were fitted to identify predictors of LTFU. Results Among a cohort of 484 HIV patients at Debre Markos Referral Hospital, 84 (17.36%) were loss their ART follow-up. The overall incidence rate of loss to follow-up was 3.7 (95% CI 3.0, 5.0) per 100 adult-years. The total LTFU free time of the participants was 2294.8 person-years. In multivariable Cox-regression analysis, WHO stage IV (AHR 2.8; 95% CI 1.2, 6.2), having no cell phone (AHR 1.9; 95% CI 1.1, 3.4), and rural residence (AHR 0.6; 95% CI 0.37, 0.99) were significant predictors of loss to follow-up. Conclusion The incidence of loss to ART follow-up in this study was low. Having no cell phone and WHO clinical stage IV were causative predictors, and rural residence was the only protective factor of loss to follow-up. Therefore, available intervention modalities should be strengthened to mitigate loss to follow-up by addressing the identified risk factors.

Abstract Background Tuberculosis is the leading cause of morbidity and mortality among people living with human immunodeficiency virus. Almost one-third of deaths among people living with human immunodeficiency virus are attributed to tuberculosis. Despite this evidence, in Ethiopia, there is a scarcity of information regarding the incidence and predictors of tuberculosis among people living with HIV. Thus, this study assessed the incidence and predictors of tuberculosis among HIV-positive adults on antiretroviral therapy. Methods This study was a retrospective record review including 544 HIV-positive adults on antiretroviral therapy at Debre Markos Referral Hospital between January 1, 2012 and December 31, 2017. The study participants were selected using a simple random sampling technique. The data extraction format was adapted from antiretroviral intake and follow-up forms. Cox-proportional hazards regression model was fitted and Cox-Snell residual test was used to assess the goodness of fit. Tuberculosis free survival time was estimated using the Kaplan-Meier survival curve. Both the bi-variable and multivariable Cox-proportional hazard regression models were used to identify predictors of tuberculosis. Results In the final analysis, a total of 492 HIV-positive adults were included, of whom, 83 (16.9%) developed tuberculosis at the time of follow-up. This study found that the incidence of tuberculosis was 6.5 (95% CI: 5.2, 8.0) per 100-person-years (PY) of observation. Advanced World Health Organization clinical disease stage (III and IV) (AHR: 2.1, 95% CI: 1.2, 3.2), being ambulatory and bedridden (AHR: 1.8, 95% CI: 1.1, 3.1), baseline opportunistic infections (AHR: 2.8, 95% CI: 1.7, 4.4), low hemoglobin level (AHR: 3.5, 95% CI: 2.1, 5.8), and not taking Isonized Preventive Therapy (AHR: 3.9, 95% CI: 1.9, 7.6) were found to be the predictors of tuberculosis. Conclusion The study found that there was a high rate of tuberculosis occurrence as compared to previous studies. Baseline opportunistic infections, being ambulatory and bedridden, advanced disease stage, low hemoglobin level, and not taking Isonized Preventive Therapy were found to be the predictors of tuberculosis. Therefore, early detection and treatment of opportunistic infections like tuberculosis should get a special attention.

Background: Tuberculosis is the leading cause of morbidity and mortality among people living with human immunodeficiency virus. Almost one-third of deaths among people living with human immunodeficiency virus are attributed to tuberculosis. Despite this evidence, in Ethiopia, there is a scarcity of information regarding the incidence and predictors of tuberculosis among people living with HIV. Thus, this study assessed the incidence and predictors of tuberculosis among HIV-positive adults on antiretroviral therapy.Methods: This study was a retrospective record review including 544 HIV-positive adults on antiretroviral therapy at Debre Markos Referral Hospital between January 1, 2012 and December 31, 2017. The study participants were selected using a simple random sampling technique. The data extraction format was adapted from antiretroviral intake and follow-up forms. Cox-proportional hazards regression model was fitted and Cox-Snell residual test was used to assess the goodness of fit. Tuberculosis free survival time was estimated using the Kaplan-Meier survival curve. Both the bi-variable and multivariable Cox-proportional hazard regression models were used to identify predictors of tuberculosis.Results: In the final analysis, a total of 492 HIV-positive adults were included, of whom, 83 (16.9%) developed tuberculosis at the time of follow-up. This study found that the incidence of tuberculosis was 6.5 (95% CI: 5.2, 8.0) per 100-person-years (PY) of observation. Advanced World Health Organization clinical disease stage (III and IV) (AHR: 2.1, 95% CI: 1.2, 3.2), being ambulatory and bedridden (AHR: 1.8, 95% CI: 1.1, 3.1), baseline opportunistic infections (AHR: 2.8, 95% CI: 1.7, 4.4), low hemoglobin level (AHR: 3.5, 95% CI: 2.1, 5.8), and not taking Isonized Preventive Therapy (AHR: 3.9, 95% CI: 1.9, 7.6) were found to be the predictors of tuberculosis.Conclusion: The study found that there was a high rate of tuberculosis occurrence as compared to previous studies. Baseline opportunistic infections, being ambulatory and bedridden, advanced disease stage, low hemoglobin level, and not taking Isonized Preventive Therapy were found to be the predictors of tuberculosis. Therefore, early detection and treatment of opportunistic infections like tuberculosis should get a special attention. [ABSTRACT FROM AUTHOR]