Risk Factors of White Blood Cell Progression Among Patients With Chronic Lymphocytic Leukemia at Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia

Background: Leukemia is a type of cancers that start in the bone marrow and produce a serious number of abnormal white blood cells. Bleeding and bruising problems, fatigue, fever, and an increased risk of infection are among symptoms of the disease. The main objective of this study is to identify the determinant of the progression rate of white blood cells among patients with chronic lymphocytic leukemia at Felege Hiwot Referral Hospital (FHRH), Bahir Dar, Ethiopia. Methods: A retrospective study design was conducted on 312 patients with chronic lymphocytic leukemia at FHRH, Bahir Dar, Ethiopia under treatment from 1 January 2017 to 31 December 2019. A linear mixed-effects model was considered for the progression of the white blood cell data. Results: The estimated coefficient of the fixed effect intercept was 84.68, indicating that the average white blood cell (WBC) count of the patients was 84.68 at baseline time by excluding all covariates in the model ( P-value <.001). Male sex ( β = 2.92, 95% confidence interval [CI] 0.58, 0.5.25), age ( β = .17, 95% CI 0.08, 0.28), widowed/divorced marital status ( β = 3.30, 95% CI 0.03, 6.57), medium chronic lymphocytic leukemia (CLL) stage ( β = −4.34, 95% CI −6.57, −2.68), high CLL stage ( β = −2.76, 95% CI −4.86, −0.67), hemoglobin ( β = .15, 95% CI 0.07, 0.22), platelet ( β = .09, 95% CI 0.02, 0.17), lymphocytes ( β = .16, 95% CI 0.03, 0.29), red blood cell (RBC) ( β = .17, 95% CI 0.09, 0.25), and follow-up time ( β = .27, 95% CI 0.19, 0.36) were significantly associated with the average WBC count of chronic lymphocytic leukemia patients. Conclusions: The finding showed that age, sex, lymphocytic, stage of chronic lymphocytic leukemia, marital status, platelet, hemoglobin, RBC, and follow-up time were significantly associated with the average WBC count of chronic lymphocytic leukemia patients. Therefore, health care providers should give due attention and prioritize those identified factors and give frequent counseling about improving the health of chronic lymphocytic leukemia patients.

Determinants of Intraocular Pressure (IOP) of Glaucoma Patients at Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia

Background. Glaucoma is a leading cause of irreversible blindness in the world associated with characteristic damage to the optic nerve and patterns of visual field loss due to retinal ganglion cell degeneration. The main objective of this study was to investigate determinants for the variation of intraocular pressure of glaucoma patients under treatment at Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia. Methods. A retrospective cohort study design was conducted on 328 randomly selected glaucoma patients in the ophthalmology clinic at the hospital under the follow-up period from January 2014 to December 2018. Glaucoma patients who have two and more than two visits in the study period were included in the study, but patients who are attending medications less than two visits were excluded from the study. A linear mixed-effects model for intraocular pressure change was used for data analysis. Result. The estimated coefficient of fixed effect intercept was 25.1829, which indicates that the average IOP of the patients was 25.1829 mmHg at baseline time by excluding all covariates in the model ( p value <0.0001), age ( β =0.07, 95%CI 0.03, 0.11), urban residence ( β = −1.60, 95%CI −2.84, −0.36), family history of glaucoma ( β = 4.90, 95%CI 3.38–6.43), timolol and pilocarpine medication ( β = −2.02, 95%CI −4.01, −0.03), cup-disk ratio >0.7 ( β = 2.60, 95% CI 1.24–3.96), and follow-up time ( β = −0.34, 95%CI −0.47, −0.21) were significantly associated with intraocular pressure of glaucoma patients. Conclusion. The predictor age, residence, family history of glaucoma, type of medication, cup-disk ratio, and follow-up time were significantly associated with the intraocular pressure of glaucoma patients. Therefore, healthcare providers give more attention and prioritize those identified factors and give frequent counseling about reducing intraocular pressure of glaucoma patients.

Predictors of blood glucose change and vascular complication of type 2 diabetes mellitus patients in Felege Hiwot Referral Hospital, North West Ethiopia

Vascular complication results in serious physical damages which may lead to the death of Type 2 diabetes mellitus patients. Studying the determinant factors of changes in blood glucose level and duration of time to the development of vascular complications helps to save the lives of citizens. A retrospective cohort study was conducted among type 2 diabetes mellitus (T2DM) patients enrolled between December 2011 and December 2012 at Felege Hiwot Referral Hospital. A total of 159 T2DM patients were included in the study. Joint modelling of longitudinal and survival analysis was employed to identify predictors of Blood Glucose Change and Vascular Complication of Type 2 Diabetes Mellitus Patients. The prevalence of vascular complication in Type 2 diabetes patients was 23.3%. Half of these patients developed an avascular complication after 24 months from the onset of the follow-up. The significant predictors of shorter time to development of vascular complication were positive proteinuria (adjusted hazard ratio (AHR) = 1.62, CI: 1.08–2.41), increase in the level of serum creatinine (AHR = 4.12, CI: 1.94–8.74), cholesterol ≥ 200 mg/dl (AHR = 1.54, CI: 1.01–2.35), and log (fasting blood glucose) (AHR = 1.453, CI: 1.004–2.104). The predictors of progression of fasting blood glucose were duration of treatment (CL: − 0.015, − 0.0001), hypertension (CL: 0.018, 0.098), baseline fasting blood glucose level 126–139 and 140-199 mg/dl (CI: − 0.40, − 0.31) and (CI: − 0.24, − 0.17), respectively. Male T2DM patients, patients with more visits to the hospital and patients who required one oral agent had a relatively lower progression of blood sugar level. Type 2 diabetes mellitus patients having higher cholesterol level, positive proteinuria, higher fasting blood sugar and a lesser number of hospital visits had a higher risk of developing a complication.

Determinants of Pulse Rate change and Time-To Default from Treatment among Congestive Heart Failure Patients in Felege- Hiwot Referral Hospital, Bahir Dar, Ethiopia; comparison of separate and joint models

Background: Globally, heart failure is a rapidly growing public health issue with an estimated prevalence of >37.7 million individuals. It is a shared chronic phase of cardiac functional impairment secondary to many etiologies. The main purpose of this study was to identify factors that affect the longitudinal changes of pulse rate and survival endpoints, time-to default among Congestive Heart Failure Patients in Felege- Hiwot Referral Hospital, Bahir Dar, Ethiopia.Methods: Hospital based retrospective studies were conducted among 302 congestive heart failure patients who were 15 years old or older and who were on treatment follow-up from the first February 2016 to thirty-one December 2018 in Felege-Hiwot Referral Hospital, Bahir Dar, Ethiopia. First, data were analyzed using linear mixed model and survival models separately, and then the joint models of both sub-models were analyzed by linked their shared unobserved random effects using a shared parameter model. Results: Out of the total 302 CHF treatment followers, 103 (34.1%) of the patients were defaulting from treatment. The mean pulse rate of female and male patients was 87.25 and 90.20, respectively. Averagely 51.12 % of blood in the left ventricle is pushed out with each heartbeat. The results for separate and joint models were quite similar to each other but not identical. However, the estimated association parameter (α) in the joint model is (HR=1.0311, 95%CI: 1.0033,1.0597, P=0.0278), providing there is evidence of a positive association between the survival and the longitudinal sub-models. Thus, defaulting is more likely to occur in patients with higher pulse rates. Patients, being male, hypertensive, CKD, pneumonic, and NYHA class IV patients were associated with a higher risk of defaulting. Age, LVIF, follow-up time in a month had a negative significant effect and NYHA class, and male gender had a positive significant effect on average evaluation of pulse rate of patients. Conclusions: The patient who are male, NYHA class IV, had low LVIF and comorbid with hypertensive, CKD, pneumonia were risk factors of pulse rate change and defaulting from treatment of CHF patients. The joint model was preferred for simultaneous analyses of repeated measurement and survival data.

Common bacterial causes of external ocular infections, associated risk factors and antibiotic resistance among patients at ophthalmology unit of Felege Hiwot Referral Hospital, Northwest Ethiopia: a cross-sectional study

Background Ocular infections are a serious public health problem in Ethiopia with increased incidence of morbidity and blindness. Empirical therapy with topical ophthalmic broad spectrum antibiotic formulations is also a prevailing practice. The aim of this study was to determine the bacterial causes of external ocular infections (EOIs), antimicrobial resistance and its associated risk factors among patients at Felege Hiwot Referral Hospital, Northwest Ethiopia. Methods A hospital based cross - sectional study was conducted from 1 February to 30 April 2019. Patients with EOIs were consecutively included from 1 February to 30 April, 2019. Data were collected using structured questionnaire by face-to-face interview and complemented with patient card review. Conjunctival, eyelid margin and lacrimal sac swabs were collected aseptically. Bacterial species were identified using standard bacteriological techniques. Antimicrobial susceptibility testing was done using Kirby-Bauer disk diffusion method. Binary logistic regression analysis was calculated to identify the factors associated with EOIs. P.value (p) < < 0.05 was considered as statistically significant. Results A total of 360 patients took part in the study and majority of them were males (64.7%). The median age of study participants was 59.5 years. Overall, 208(57.8%) (95%CI = 52.6– - 62.8%) of patients had culture confirmed bacterial EOIs. The proportion of culture confirmed EOIs was 60.4% among conjunctivitis cases and 55.8% among blepharitis. Ocular trauma (P < < 0.001), ocular disease (P < < 0.001) and having eye allergy (P = 0.027) were significantly associated with EOIs. The most frequent isolates were S. aureus (37%), K. pneumoniae (13.5%), Proteus(7.2%) spp., S. pneumoniae (4.3%), Citrobacter spp. (3.4%) and P. aeruginosa (2.9%). Gram positive isolates were resistant to penicillin in 87% and ampicillin in 86.2%. Gram negative isolates were resistant to ampicillin (87.5%). P.aeruginosa isolates (85.3%) were resistant to piperacillin and 50% were resistant to tobramycin. Overall, 45.2% of the isolates were multi-drug resistant. The percentage of multi-drug resistance was 80% among Enterobacter isolates and 64.3% among K. pneumoniae. Conclusions Bacterial external ocular infections linked with multi-drug resistance and resistance to penicillin, ampicillin, tetracycline and piperacillin are high. Therefore, empirical treatment of eye infections in the study area needs to be monitored by regular antimicrobial-susceptibility testing of isolates.

Determinants of Intraocular Pressure and Time to Blindness for Glaucoma Patients at Felege Hiwot Referral Hospital, Bahir Bar, Ethiopia: A Comparison of Separate and Joint Models

Background: Due to the substantial increase in the number of glaucoma cases within the next several decades, glaucoma is a significant public health issue. The main objective of this study was to investigate the determinant factors of intraocular pressure and time to blindness of glaucoma patients under treatment at Felege Hiwot Referral Hospital, Bahir Dar, Ethiopia. Methods: A retrospective study design was conducted on 328 randomly selected glaucoma patients using simple random sampling based on the identification number of patients in an ophthalmology clinic at the hospital under the follow-up period from January 2014 to December 2018. A linear mixed effects model for intraocular pressure data, a semi-parametric survival model for the time-to-blindness data and joint modeling of the 2 responses were used for data analysis. However, the primary outcome was survival time of glaucoma patients. Results: The comparison of joint and separate models revealed that joint model was more adequate and efficient inferences because of its smaller standard errors in parameter estimations. This was also approved using AIC, BIC, and based on a significant likelihood ratio test as well. The estimated association parameter (α) in the joint model was .0160 and statistically significant ( P-value = .0349). This indicated that there was strong evidence for positive association between the effects of intraocular pressure and the risk of blindness. The result indicated that the higher value of intraocular pressure was associated with the higher risk of blindness. Age, hypertension, type of medication, cup-disk ratio significantly affects both average intraocular pressure and survival time of glaucoma patients ( P-value < .05). Conclusion: The predictors; age, hypertension, type of medication, and cup-disk ratio were significantly associated with the 2 responses of glaucoma patients. Health professionals give more attention to patients who have blood pressure and cup-disk ratio greater than 0.7 during the follow-up time to reduce the risk of blindness of glaucoma patients.