Showing 3 results for Akhlagh
Sha Akhlagh, D Zeighami, E Allahyari, B Maghsoodi, S Azemati, A Alipour, Smr Hadavi,
Volume 6, Issue 2 (22 2010)
Abstract
Background & objectives: Cardiopulmonary bypass often causes a stress hormonal response with subsequent changes in hemodynamic and organ perfusion. Human studies involving cardiopulmonary bypass have shown that very low doses of ketamine can attenuate inflammatory and stress markers, without adverse effects. The aim of this study was to investigate whether low dose infusion of ketamine have hemodynamic stability effect in coronary artery bypass surgery.
Methods: In this double blind-controlled trial, 50 patients undergoing on-pump CABG were randomly assigned to receive either 1.25mcg/kg/min of ketamine infusion (Ketamine group, n=25) or normal saline infusion (Control group, n=25) during 48 hours after induction of anesthesia. hemodynamic measurement including blood pressure, heart rate, central venous pressure, cardiac output, cardiac index, systemic venous resistance, arterial blood gas and lactate were measured previous to induction (T1), 4 h, 24h, and48h after the surgery (T2,T3 and T4). The data were evaluated with using of variance analyzing test and repeated measurement.
Results: There were significant interaction effect between time (pre operation, 4, 24 and 48 hours after operation) and group of study (ketamine and placebo) in assessment of systolic blood pressure (p=0.0001), diastolic blood pressure(p=0.0001), heart rate (p=0.004), central venous pressure (p=0.0001) and lactate (p=0.035). These indicate that ketamine caused decrement in tissue perfusion. Those interactions were not statistically significant for other parameters (p>0.05).
Conclusions: low dose ketamine during and 48 hours after operation not only didn`t show hemodynamic stability effect but also decreased tissue perfusion slightly.
Aa Akhlaghi, M Hosseini, M Mahmoodi, M Shamsipour, E Najafi,
Volume 8, Issue 2 (20 2012)
Abstract
Background & Objectives: Peritoneal
dialysis is one of the most common types of dialysis in patients with renal
failure. However multivariate analysis such as log- rank test and Cox have
usually used to evaluate association of risk factors in survival of this group
of patients, the aim of this study was to perform of Weibull, Gamma, Lognormal and
Logistic Mixture cure models in survival analysis of these patients.
Methods: Data
of 433 patients undergoing CAPD who registered in two centers in Tehran, Iran
between 1997 to 2009 were used in this analysis. We investigated center,
gender, age, cholesterol, Low Density Lipoprotein (LDL), High density
lipoprotein (HDL), triglyceride, albumin, hemoglobin, creatinine, Fasting Blood
Sugar (FBS), calcium and phosphorous as variables effect with Kaplan-Meier and
cure model. CUREREGR module was used for survival analysis.
Results: Comparison
of AIC (Akaike Information Criterion) of Weibull, Gama, Lognormal and Logistic
Mixture cure models showed that Weibull distribution AIC is lower for almost
all variables than other distributions. Weibull distribution has better fitness
for data than others. In the multivariate Weibull model, age and albumin
variables had significant effect on long-term survival of patients (P<0.01).
Triglycerides effect on long-term survival had borderline (P = 0.065). Also
HDL, FBS and calcium were significant on short term survival (P<0.01) but
significance of LDL was borderline (P=0.088).
Conclusion: Cure models have the ability to analyze
dialysis patients' survival data and can differentiate long-term survival from short-
term survival. The interpretation of survival data with these statistical
models could be more accurate and would help to make better prediction for
patients by health care professionals.
M Karami, A Doosty Irani, Sj Battaei, L Rafati, M Javaheri, M Kheir Andish , M Farhadi, M Hashemi, K Mozafari, A Akhlagh, M Shojaeian, Ar Maleki, R Rostam Abadi , Sh Torkshavand, M Khodabakhshi,
Volume 16, Issue 3 (Vol.16, No.3 2020)
Abstract
Background and Objectives: Water and foodborne diseases are major causes of mortality worldwide. The aim of this study was to investigate the factors affecting an gastroenteritis outbreak in Hamadan county in summer of 2019.
Methods: This study was performed based on the outbreak investigation process. After producing hypotheses based on preliminary field studies, a case-control study was conducted on 45 cases and 45 controls to investigate the factors associated with the outbreak. New cases of the disease were included according to the case definition. A logistic regression model was used to investigate potential risk factors.
Results: A total of 171 people were affected in this outbreak from 25 June 2019 to 01 July 2019. The at-risk population in this outbreak was 3410 individuals. The attack rate was 5.1%. Abdominal pain, vomiting, and nausea were the most common symptoms with a prevalence of 77.8%, 73.3% and 68.9%, respectively. The results of the case-control study showed that the consumption of tap and spring/well water increased the odds of disease by 4.63 and 4.13 times compared to boiled water, although these relationships were not statistically significant. The odds of diseases were significantly lower in people aged 30-45 years and 46-85 years compared people aged 15 years old and younger.
Conclusion: Based on the results of this study, the outbreak was related to contaminated water consumption. Therefore, regular monitoring of drinking water status is very important for the local health system.
