Publications by authors named "Abbas Bahrampour"

Article Synopsis
  • The study focuses on the rising issue of end-stage renal disease (ESRD) in developing countries and emphasizes the need for advanced statistical models to address patient variability.
  • Researchers analyzed data from 170 hemodialysis patients over a decade, utilizing a gamma frailty mixed cure Weibull model (MC-WG) to investigate factors affecting patient survival and time to death.
  • Findings revealed that nearly half of the patients died, with identifiable risk factors including age, gender, and serum urea levels; the MC-WG model showed significant impacts from diabetes and other variables that differed from traditional Cox PH model results.
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Religiosity can be an important factor in women's health-related behaviour, attitudes, and decision-making. Evidence however, regarding the religiosity of mothers and its influence on child health, is scarce. Based on a large population-based cohort in Australia, we aim to examine the religiosity of women in Australia and the association of maternal religiosity with children's health-related quality of life (HRQOL) and lifestyle.

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Background: In December 2019, the spread of a new infectious disease was reported in Wuhan, caused by a new coronavirus named COVID-19 by the World Health Organization. This study aims to compare the dispersion of COVID-19 disease among four Iranian cities in North Khorasan named Bojnord, Farooj, Jajarm, and Shirvan.

Materials And Methods: This cross-sectional study includes information about the daily morbidity and mortality of COVID-19 in 1124 patients from March to May 2021.

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Diabetes, a major non-communicable disease, presents challenges for healthcare systems worldwide. Traditional regression models focus on mean effects, but factors can impact the entire distribution of responses over time. Linear mixed quantile regression models (LQMMs) address this issue.

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Introduction: Patients with Tuberculosis (TB) still have barriers in accessing high quality care and treatment services. In this qualitative study, we investigated barriers in accessing TB health services including confirmatory diagnosis, treatment adherence and recurrence of pulmonary TB using patients, physicians, and policy makers point of view.

Materials And Methods: In this qualitative research from November to March 2021, 3 policy makers from the Ministry of Health, 12 provincial TB experts and physicians from the TB control program and 33 patients diagnosed with TB from 4 provinces were enrolled for a semi-structured in-depth interview.

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Background: Accurate determination of the effective reproduction number (Rt) is a very important strategy in the epidemiology of contagious diseases, including coronavirus disease 2019 (COVID-19). This study compares different methods of estimating the Rt of susceptible population to identify the most accurate method for estimating Rt.

Study Design: A secondary study.

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Tuberculosis is one of the oldest known diseases in humans, and early detection of tuberculosis is one of the main measures to decrease the spread of tuberculosis. In many parts of the world, including Iran, the diagnosis of tuberculosis is based on the detection of acid-fast bacillus in sputum smear microscopy and PCR. this study aimed to synthesize evidence on the diagnostic accuracy of sputum smear and PCR compared to sputum culture for the diagnosis of PT in Iranian patients.

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Depression is a prevalent illness in the world. Given the importance of mental disorders, many researchers have investigated the effects of different variables on average depression scores. In this study, we decided to investigate the effect of some explanatory variables on the average depression score.

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Introduction: Cutaneous leishmaniasis (CL) is currently a health problem in several parts of Iran, particularly Kerman. This study was conducted to determine the incidence and trend of CL in Kerman during 2014-2020 and its forecast up to 2023. The effects of meteorological variables on incidence was also evaluated.

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Cardiovascular diseases belong to the leading causes of disability and premature death worldwide, including in Iran. It is predicted that the burden of the disease in Iran in 2025 will be more than doubled compared to 2005. Therefore, many forecasting models have been used to predict disease progression, estimate mortality rates, and assess risk factors.

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Background: The ethical guidelines and ethical atmosphere of the hospital affect the quality of nursing care. Improving the health of patients in most cases depends on the observance of ethical points and ethical behaviors by nurses. The aim of this study was to determine the effect of hospital ethics and ethical training guidelines on improving the quality of nursing care and nurses' professional ethics.

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BACKGROUND Gastric cancer (GC) is the fifth most common cancer and the third most common cause of cancer death worldwide. The aim of this study was to investigate the factors affecting the survival of patients with GC using the illness-death model (metastasis as an intermediate event). METHODS In this retrospective cohort study, 339 patients with GC who were referred to Shahid Bahonar and Afzalipour Hospitals in Kerman, Southeast Iran during 2001-2016 were included.

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Background: Ethical decision-making and behavior of nurses are major factors, which can effect on the quality of nursing care. It seems that there is a correlation between demographic variables and ethical decision-making and moral behaviors of nurses. Promoting patients' health is one of the issues related to nurses' ethical behaviors.

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Aim: The aim of this study was to apply the Bayesian mixture cure rate frailty model to determine the factors that influence short-term and long-term survival of patients with gastric cancer.

Background: Determining the risk factors of gastric cancer is currently considered very important, because the disease has become one of the most dangerous types of mortal cancers. Therefore, it is possible to determine the effective risk factors of short-term and long-term survival in patients through utilizing this model.

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The quality of life (QoL) questionnaire (SF-36) contains 36 questions in eight subscales. It requires much time to fill in by the respondent. The objective of this study was to use Rasch models to develop a questionnaire that brings the desired outcome of the QoL of people.

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Mixture cure rate models are commonly used to analyze lifetime data with long-term survivors. On the other hand, frailty models also lead to accurate estimation of coefficients by controlling the heterogeneity in survival data. Gamma frailty models are the most common models of frailty.

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MicroRNA-200 (miR-200) family is highly expressed in ovarian cancer. We evaluated the levels of family members relative to the internal control miR-103a in ovarian cancer and control blood specimens collected from American and Hong Kong Chinese institutions, as well as from a laying hen spontaneous ovarian cancer model. The levels of miR-200a, miR-200b and miR-200c were significantly elevated in all human cancer versus all control blood samples.

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Article Synopsis
  • The study evaluates the prognosis and burden of diseases in hemodialysis patients by analyzing relative survival rates (RSR) and loss of expectation of life (LEL).
  • The research involved 648 patients in Kerman City, Iran, showing that after five years, the overall RSR was 0.57, indicating a lower survival compared to the general population, particularly affected by age and diabetic status.
  • The findings highlight the poor prognosis for older hemodialysis patients, suggesting that more healthcare attention is needed and recommending cost estimation for reducing kidney disease risk factors.
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Background: Alcohol use and drug injection are prevalent among homeless youths. The aim of this study was to identify the associated factors of alcohol consumption and drug injection among homeless youths aged 18-29 years.

Methods: Data on 202 homeless youths (111 males and 91 females) were collected using a standardized questionnaire and face-to-face interview.

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Aim: The aim of this study was to apply two types of statistical models to determine the factors that influence the mortality rate in patients with gastric cancer.

Background: In Iran, gastric cancer ranks the first and second most prevalent among men and women, respectively. It is the first cause of death in Iran in both gendersival.

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Background: Breast cancer is a top biomedical research priority, and it is a major health problem. Therefore, the present study aimed to determine the prognostic factors of breast cancer survival using cure models.

Methods: In this retrospective cohort analytic study, data of 140 breast cancer patients were collected from Ali Ibn Abi Taleb hospital, Rafsanjan, Southeastern Iran.

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Introduction: Noise is one of the most common and harmful physical factors in the working environment and has physical and psychological effects on individuals. In this study, the audiometry results of industrial workers were modeled and the effect of noise and other factors on hearing loss was examined.

Materials And Methods: This was a longitudinal study based on the records of workers who had worked over 10 years in the industry and had recorded audiometries since their employment.

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Background: Dialysis is a dominant therapeutic method in patients with chronic renal failure. The ratio of those who experienced the event to the predictor variables is expressed as event per variable (EPV). When EPV is low, one of the common techniques which may help to manage the problem is penalized Cox regression model (PCRM).

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Background: The basic reproduction number ( ) has a key role in epidemics and can be utilized for preventing epidemics. In this study, different methods are used for estimating 's and their vaccination coverage to find the formula with the best performance.

Materials And Methods: We estimated for cumulative cases count data from April 18 to July 6, 2009 and 35-2017 to 34-2018 weeks in Canada: maximum likelihood (ML), exponential growth rate (EG), time-dependent reproduction numbers (TD), attack rate (AR), gamma-distributed generation time (GT), and the final size of the epidemic.

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Background: Determining the epidemic threshold parameter helps health providers calculate the coverage while guiding them in planning the process of vaccination strategy. Since the trend and mechanism of influenza is very similar in different countries, we planned a study with the mentioned goal by using data of US from 2017 to 2018.

Study Design: A secondary study.

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