جستجوی مقالات مرتبط با کلیدواژه "زمان بقا" در نشریات گروه "پزشکی"

Length of stay in hospital is one of the effective factors in determining the cost of hospitalized patients and one of the high-cost departments is the pediatric intensive care unit (PICU). Knowing how long patients stay in hospital beds can be effective. The purpose of this study was to provide the most appropriate statistical distribution of patients 'stay in PICU wards to predict patients' hospital stay.

In this paper, in addition to investigating the diagnoses presented to patients admitted to the PICU ward, it has been attempted to use the best statistical models in survival studies such as the inverse Weibull distribution family or its combinations to determine the best statistical model for pediatric hospitalization. To determine the pediatric intensive care unit of three hospitals in Mashhad in 2018 based on these
distributions, the first, second and third quartiles of survival time are identified and the best statistical distribution is determined for patients' residence time. R statistical software version 3.5.2 was also used for data analysis and statistical modeling of the population. Finally, maximum likelihood, Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC) were used to identify the appropriate model.

Based on the data from these three hospitals, several statistical distributions suitable for survival data were fitted to patients' survival times in the PICU wards studied, and the distribution parameters along with intermediate indices and first and third quartiles were reported. After fitting the composite statistical Weibull and Generalized Reverse Weibull statistical distributions to the length of hospital stay in the PICU ward, the best distribution was the logistic regression Weibull series distribution with the highest likelihood.

Generalized inverse Weibull logarithmic series and Inverse Weibull Geometric distribution had a good fit for patients’ bed time in PICU department of reviewed hospitals.

Background and Lung cancer is the third cause of death and amongst the five common cancers in Iran. The aim of this study was to analyze the survival rate of patients with lung cancer and identifying the variables influencing their survival.
In a retrospective cohort study, the data was extracted from the medical records of 259 patients with lung cancer who had attended Tehran Shariati Hospital during 2005-2015. The survival rate was estimated using the Kaplan-Meier method and log-rank test was applied for comparison of survival function. The event was specified as death due to lung cancer. The Cox’s proportional hazard model was used to investigate the effect of various variables on patient survival time using the R software.
The mean age of the patients was 62.86±12.46 and the estimated median survival time was 2.4 years (2.93±3.33). Hundred and forty patients (54%) died. According to the Kaplan-Meier method, 1, 2, and 3 years survival rates were estimated to be 63%, 53%, and 46%, respectively. Based on Cox proportional hazards analysis, the patient’s survival time was significantly associated with PCO2 (HR= 1.021), age at diagnosis (HR= 0.805), type of tumor (NSCLC vs. SCLC) (HR= 0.567), and brain metastasis (HR= 1.792).
The survival time for patients with lung cancer was found to be quite short. This time decreases by increase in patients’ age. Also, the risk of death in a patient either with SCLC or metastasis was higher than other patients.

Colorectal cancer is the most common cancer of digestive system in Iran.The incidence of this cancer has increased in recent years.The aim of this study was to evaluate the survival rate and to define the prognostic factors in Iranian colorectal cancer patients using competing risk model.
Data recorded from 1060 patients with colorectal cancer who registered in Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences (Tehran, Iran) from 2004 to 2015 in a retrospective study. Analysis was performed using competing risks model. Software used for data analysis was STATA, and significance level was regarded as 0.05.
The result indicated that, at the end of follow-up, 380 (35.8%) death was from colorectal cancer and 49 (4.6%) death was due to other diseases and 631 patients (59.5%) survived till the end of the study. The mean survival time for a patient in 1060 was 56.96±1.46 month with median equals 45.5 months. According to competing-risks method, only age at diagnosis and body mass index has a significant effect on patient’s survival time.
: In order to identify the prognostic risk factors on the survival of patients with colorectal cancer, in presence of competing risks, using the competing risk regression model was found more efficient compared to cox regression model.

As a result of studies، kidney transplantation from a donor with high blood pressure to a receiver with normal blood pressure and kidney transplantation from a donor with normal blood pressure to a patient with high blood pressure may lead to tissue hypo- and hyper-perfusion and finally، effect on the survival of the transplanted kidney. The aim of this study was determining the effect of blood pressure difference between the receiver and donor in kidney transplantation on the outcome of kidney function. In a cross-sectional study، 30 kidney transplantations were studied. Blood pressure of donor and receiver was measured before the transplantation and with demographic data entered to special checklist. All the patients were followed after 48 hours after the surgery for outcome of kidney transplantation based on creatinine level and urine output. The effect of the difference in blood pressure between the donor and receiver on the survival of transplanted kidney was evaluated. The mean creatinine level of the receivers with higher and lower blood pressure amounts was 4. 15 ± 1. 20 and 5. 27 ± 1. 69 mg/dl، respectively، and the difference between the two groups was statistically significant (P = 0. 044). Six hours after the surgery، the mean level of creatinine was 3. 84 ± 0. 89 and 4. 65 ± 1. 72 mg/dl in higher and lower blood pressure receivers، respectively with no statistically difference (P = 0. 100). The mean level of creatinine، 24 hours after surgery، was 2. 54 ± 0. 84 and 4. 05±2. 24 mg/dl in higher and lower blood pressure receivers، respectively، and the difference was not statistically significant (P = 0. 180). According to the results of this study، the difference between blood pressure of donor and receiver is one of the important factors on survival of transplanted kidney. Thus، before the transplantation، investigations about the difference between the blood pressure of donor and receiver mast be noticed.

Background and Acute leukemia is a malignancy with a rapidly progressive course of the lymphoid or myeloid cells. A prognostic factor for its survival and treatment is of particular importance in medical research. Therefore, this study aimed at applying competing risk model to compare clinical and pathologic factors in pediatric acute leukemia. A historical cohort analysis was performed on survival data of 97 children with acute leukemia collected from Pediatric Oncology Department in Booali Sina Hospital in Sari from 2006 to 2014. We recorded data including age at diagnosis, type of leukemia, sex, white blood cell count, and platelet count. Statistical analysis using competing risk model, Cox regression model and STATS software were performed. The median follow-up period was 14.83 mounts during which 27 patients (27.83%) (17 ALL cases and 10 AML cases) passed away. In competing risk model significant relationship was found between type of leukemia, hemoglobin count and white blood cell count with survival time. In order to identify the prognostic risk factors on the survival of patients with acute leukemia, in presence of competing risks, using the competing risk regression model was found more efficient compared to cox regression model.

Colorectal cancer (CRC) is one of the most prevalent health problems in the world and Iran. This study aimed at determining the survival rate of patients with CRC and the factors influencing it in Iranian patients.

A prospective cohort study was carried out in patients attending 10 state and private hospitals in Tehran during 2006-2011. In this study 1127 patients (totally 2570 individuals-year) were followed up every six months and the follow-up duration was from the definite time of CRC diagnosis until death (or censoring). Only 2% of the patients were censored. Data was analyzed using stata software, bivariate and multivariate analyses, and also Cox regression.

The mean age of the patients was 53.5 ± 14 years old at the time of diagnosis. Most of the patients were older than 45 years of age (69.7%). The age at diagnosis was significantly different between men and women (P<0.03). The patients were 61.2% male and the rest were female. The rates of mortality in male and female were 96.9 and 83 in 100,000. After the diagnosis has been made 75%, 50%, and 25% had a survival rate of less than 2.72 years, 5.84 years, and longer than 13 years, respectively. In Cox model some variables including ethnicity, marital status, cancer grade, family history of caner, and smoking were the main determinants of survival.

The mean survival time was 5.8 years after diagnosis has been made which shows more improvements compared to previous studies. This study provides some information on CRC survival rate so that action plans could be designed to prevent and control this disease.