Priskila M, Ariningrum D, Suparyanti ES. 2008. Effect of garlic (Allium sativum Linn.) extract on reduction of total cholesterol and HDL cholesterol ratio in hypercholesterolemic rats (Rattus norvegicus). Biofarmasi 6: 45-51. Garlic has been widely recognized as herbal medicine for prevention and treatment of cardiovascular disease, atherosclerosis, and hyperlipidemia. The main bioactive compound, allicin, can influence cholesterol metabolism, reduce total cholesterol and increase HDL cholesterol. The purpose of this research was to find out the effect of garlic extract on the reduction of total cholesterol and HDL cholesterol ratio in hypercholesterolemic rats. This research was an experimental research with pre and post-test control group design. The research used male Wistar rats (Rattus norvegicus) with ±3 mounts old and ±200 grams of body weight. The rats were divided into two groups, group I and II; each group consisted of 15 rats. Before the treatment, all rats were induced by a high-cholesterol diet for two weeks, to get a hypercholesterolemic condition. Group I, as a control group, were induced by a high-cholesterol diet, while group II, treatment group, were also induced by a high-cholesterol diet orally by 0.432 grams garlic extract /200 grams body weight/day. The treatment occurred for 25 days. The data were taken before the treatment and after the last treatment, by taking the blood from orbital sine of rats which been fasted for 12 hours, and the level of serum cholesterol total and the level of serum HDL cholesterol were checked from both groups, then the results were analyzed with t-test. Based on the results, it could be concluded that the oral induction of 0.432 grams garlic extract /200 grams body weight/day for 25 days on rats, could not reduce total cholesterol, therefore the serum total cholesterol and HDL cholesterol ratio was not significant (p>0.05). Meanwhile, the decrease of total cholesterol in treatment group and the decrease of HDL cholesterol in both groups were significant (p<0.05).
The diagnosis of Urinary Tract Infection (UTI) in infants and children is often missed. There have been no studies ondiagnostic tests using automated urine analyzer in pediatric patients. This study aimed to determine the cut-off values ofbacteriuria and leukocyturia using the automated urine analyzer Sysmex UX-2000 to diagnose UTI with the gold standard ofautomated urine culture using VITEK 2 in pediatric patients at Dr. Moewardi Hospital, Surakarta. An observational analyticalstudy with the cross-sectional design was during August-October 2019 at the Clinical Pathology Laboratory and ClinicalMicrobiology Laboratory of Moewardi Hospital, Surakarta. Eighty-four patients sample were collected. This study'sdependent variable was the diagnosis of urinary tract infections in pediatric patients established with positive culture results(bacterial count of ≥ 105 CFU/mL urine). This study's independent variables were the number of urine bacteria (BACT) andthe number of urine leukocytes (WBC) from urinalysis using the Sysmex UX-2000 automated urine analyzer. A diagnostictest was used for data analysis. The best cut-off value for leukocyturia was 37 cells/μL with a 61.1% sensitivity, 63.6%specificity, a positive predictive value of 31.4%; a negative predictive value of 85.7; positive likelihood ratio of 1.64; negativelikelihood ratio of 0.595, and accuracy of 63%. The best cut-off for the number of bacteria was 143 cells/μL with a sensitivityof 66.7%; specificity of 71.2%, the positive predictive value of 38.7%, the negative predictive value of 88.7%; positivelikelihood ratio of 2.14; negative likelihood ratio of 0.432 and an accuracy of 70.2%. A cut-off of 37 cells/μL for leukocyturiaand 143 cells/μL for bacteriuria using an automated urine analyzer can be used for UTI screening in pediatric patients.
The COVID-19 pandemic has drawn global attention as its main health issue. The rapid transmission and the diverse degree of severity have caused complicacy in controlling the disease. A hematological lab test has been a standard procedure done during therapy. This study aimed to determine the relation of the hematological parameter as a COVID-19 mortality predictor. The cohort retrospective method was used for this study by observing the medical records of critically ill COVID-19 patients admitted at Dr. Moewardi Hospital, Surakarta, from May 2020 to June 2021. The observed variables in this study were age, gender, comorbidities, and hematological lab test towards the outcome. The results were then analyzed bivariate and multivariate with SPSS. Out of 161 data, 101 were found alive and 60 deceased. Bivariate analysis showed that age of 50-80 years (RR= 2.246; p=0.029), comorbidities (RR=2.891; p=0.008), leucocyte>9850/µl (RR=2.634; p=0.004), neutrophil percentage >84.25% (RR=4.808; p=0.000), lymphocyte percentage<22% (RR=0.065; p=0.008), and NLR>9.326 (RR=5.031; p=0.000) had a relationship with the outcome. Gender, hemoglobin level, and platelet did not significantly correlate with the patient's outcome. Multivariate analysis showed that a history of comorbidities (RR=2.9326; p=0.012) and NLR >9.326 (RR=5.073; p=0.000) were proven to be a good predictor for mortality of COVID-19 patients. This result can be advantageous for clinicians in predicting the mortality of COVID-19 patients.
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