scholarly journals Preoperative Fasting Time and Its Association with Hypoglycemia during Anesthesia in Pediatric Patients Undergoing Elective Procedures at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hussien Endris Assen ◽  
Anissa Mohammed Hassen ◽  
Ananya Abate ◽  
Bikis Liyew
Keyword(s):  
Logistic Regression ◽  
Logistic Regression Model ◽  
Pediatric Patients ◽  
Addis Ababa ◽  
Preoperative Fasting ◽  
Solid Foods ◽  
Glucose Levels ◽  
Specialized Hospital ◽  
Tikur Anbessa Specialized Hospital ◽  
Fasting Time

Background. Preoperative fasting is important to reduce the risk of pulmonary aspiration during anesthesia. The influence of prolonged fasting time on glucose levels during anesthesia in children remains uncertain. Therefore, this study is aimed at assessing preoperative fasting time and its association with hypoglycemia during anesthesia in pediatric patients undergoing elective procedures at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia. The research hypothesis of the study is as follows: there is a prolonged preoperative fasting time, and it influences the glucose levels during anesthesia among pediatric patients undergoing elective procedures at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia. Methods. Institutional based cross-sectional study was conducted among 258 pediatric patients who had undergone elective procedures in a tertiary care center. A systematic sampling method was used to select study participants. The data were collected through face-to-face interviews and medical record reviews. Binary logistic regression was used to identify associated factors of hypoglycemia during anesthesia among pediatric patients undergoing elective procedures. All explanatory variables with a p value of ≤0.25 from the bivariable logistic regression model were fitted into the multivariable logistic regression model to control the possible effect of confounders, and finally, the variables which had an independent association with hypoglycemia were identified based on adjusted odds ratio with 95% confidence interval, and a p value less than 0.05 was significant. Results. The mean (standard deviation) fasting hours from breast milk, solid foods, and clear fluids were 7.75 (2.89), 13.25 (3.14), and 12.31 (3.22), respectively. The majority (89.9%, 57.9%, and 100%) of participants had fasted from solid, breast milk, and clear fluids for more than 8, 6, and 4 hours, respectively. More than one-fourth (26.2%) of participants were hypoglycemic immediately after induction. Residence, order of nothing per mouth, source of patient, and duration of fasting from solid foods had a significant association with hypoglycemia during anesthesia in children. Conclusion. Children undergoing elective procedures were exposed to unnecessarily long fasting times which were associated with hypoglycemia during anesthesia.

scholarly journals Predictors of Treatment Outcomes among Pediatric Patients Hospitalized with Pneumonia in Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Hilina Tsegaw ◽  
Mohammed Yimam ◽  
Dejen Nureye ◽  
Workineh Woldeselassie ◽  
Solomon Hambisa
Keyword(s):  
Treatment Outcome ◽  
Sample Size ◽  
Treatment Outcomes ◽  
Pediatric Patients ◽  
Addis Ababa ◽  
Good Treatment Outcome ◽  
Specialized Hospital ◽  
Tikur Anbessa Specialized Hospital ◽  
Poor Treatment ◽  
Poor Treatment Outcome

Background. Pneumonia remains the leading cause of hospitalization and mortality in young children in low- and middle-income countries. This study is aimed to assess predictors of treatment outcomes among pediatric patients hospitalized with pneumonia in Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia. Methods. A facility-based retrospective cross-sectional study was conducted among pediatric patients admitted with pneumonia, considering patient medical charts recorded for a 1-year period from February 2017 to February 2018. The sample size was computed based on a single population proportion formula and giving a total sample size of 207. The systematic random sampling method was employed to select patient cards from the sampling frame. The data extraction format was used to extract any relevant information from patient chart. The processed data were analyzed by using Statistical Package for Social Sciences (SPSS, version 21). Descriptive statistics were used to summarize the patients’ baseline characteristics and related information. The logistic regression model was fitted to determine factors associated with treatment outcomes. To identify predictors of poor treatment outcome, the level of significance was set at P < 0.05 . Results. From a total of 207 patient charts reviewed, more than half (55.6%) of the study participants were males. Majority of patients, 130 (62.8%), were in the age range of 1 month–11 months. Furthermore, 191 (92.3%) patients had good treatment outcome. Patients who treated with ceftriaxone + azithromycin were less likely to have poor treatment outcome compared with patients who were placed on crystalline penicillin (AOR = 0.86, 95% CI 0.01–0.83). On the contrary, patients who stayed ≥ 8 days were about 14.3 times more likely to have poor treatment outcome compared with patients who stayed ≤ 3 days (AOR = 14.3, 95% CI 1.35–151.1). Conclusion. Even though the study revealed good treatment outcome among the pediatric patients, particular consideration should be given to children in need of other interventions.

scholarly journals Long Noncoding RNA THAP9-AS1 and TSPOAP1-AS1 Provide Potential Diagnostic Signatures for Pediatric Septic Shock

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yong Wu ◽  
Qigai Yin ◽  
Xiaobao Zhang ◽  
Pin Zhu ◽  
Hengfei Luan ◽  
...  
Keyword(s):  
Septic Shock ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Pediatric Patients ◽  
R Package ◽  
Differentially Expressed ◽  
Blood Samples ◽  
Health Control ◽  
Control Samples

Background. Sepsis is a systemic inflammatory syndrome caused by infection with a high incidence and mortality. Although long noncoding RNAs have been identified to be closely involved in many inflammatory diseases, little is known about the role of lncRNAs in pediatric septic shock. Methods. We downloaded the mRNA profiles GSE13904 and GSE4607, of which GSE13904 includes 106 blood samples of pediatric patients with septic shock and 18 health control samples; GSE4607 includes 69 blood samples of pediatric patients with septic shock and 15 health control samples. The differentially expressed lncRNAs were identified through the limma R package; meanwhile, GO terms and KEGG pathway enrichment analysis was performed via the clusterProfiler R package. The protein-protein interaction (PPI) network was constructed based on the STRING database using the targets of differently expressed lncRNAs. The MCODE plug-in of Cytoscape was used to screen significant clustering modules composed of key genes. Finally, stepwise regression analysis was performed to screen the optimal lncRNAs and construct the logistic regression model, and the ROC curve was applied to evaluate the accuracy of the model. Results. A total of 13 lncRNAs which simultaneously exhibited significant differences in the septic shock group compared with the control group from two sets were identified. According to the 18 targets of differentially expressed lncRNAs, we identified some inflammatory and immune response-related pathways. In addition, several target mRNAs were predicted to be potentially involved in the occurrence of septic shock. The logistic regression model constructed based on two optimal lncRNAs THAP9-AS1 and TSPOAP1-AS1 could efficiently separate samples with septic shock from normal controls. Conclusion. In summary, a predictive model based on the lncRNAs THAP9-AS1 and TSPOAP1-AS1 provided novel lightings on diagnostic research of septic shock.

scholarly journals Prevalence and Factors Associated with Undernutrition on Cancer Patients at Tikur Anbessa Specialized Hospital, Ethiopia: A cross-sectional study

2021 ◽  
Author(s):  
Eyerusalem Worku ◽  
Hayat Aragaw ◽  
Damitie Kebede
Keyword(s):  
Cancer Patients ◽  
Addis Ababa ◽  
Performance Status ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
Under Nutrition ◽  
Specialized Hospital ◽  
Tikur Anbessa Specialized Hospital

Abstract Background Cancer is one of the leading causes of death in the world and it is considered that every fourth person dies of it. Under-nutrition is most commonly seen in cancer patients with some types of solid tumors, various chronic diseases, as well as in older persons and young children. This can result in longer hospital stay, reduced response to therapies, increased complications to therapy and surgery proceedings, poor survival and higher care costs. This study aimed to assess the prevalence and factors associated with under-nutrition on cancer patients attending Tikur Anbessa Specialized Hospital, Ethiopia.Methods Cross-sectional study was conducted from September to October 2018 among 347 cancer patients in Tikur Anbessa Specialized hospital Addis Ababa, Ethiopia. All cancer patients 18–65 years of age who were on the 2nd cycle and above treatment phase were included. Quantitative data was collected using questionnaires and the Patient Generated-Subjective Global Assessment (PG-SGA) score. Data was entered into Epi-Info version 7 and exported and analyzed by SPSS version 20. Both bivariate and multivariate logistic regression analyses were employed to identify the associated factors. Variables with 𝑃 value of less than 0.05 were considered as significant predictors.Results The prevalence of under-nutrition according to PG-SGA score result 202 (63.1%) and 88(27.5%) of the participants were moderately and severely undernourished, respectively. BMI of the participants also showed that 206 (64.4%) and 89 (27.8%) were normal and underweight, respectively. Two hundred seventy-six (86.3%) of the patients needed critical nutrition intervention. Performance status of ≥ 2 [AOR = 7.9, 95% CI (3.05, 20.48)] and cancer stage II, III & IV [AOR = 3.47, 95% CI (1.25, 9.58)], [AOR = 3.81, 95% CI (1.17, 12.31)] and [AOR = 6.11, 95% CI (1.48, 25.14)] were significantly associated with malnutrition on cancer patients at a P-value < 0.05.Conclusion The prevalence of under-nutrition is prevalent in the study area. Performance status of ≥ 2 and cancer stages were important factors associated with malnutrition in cancer patients. Screening and evaluation of nutritional status of the patients and planning nutritional therapy such as dietary supplements or enteral nutrition to counteract malnutrition on cancer patients should be implemented.

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