Archives of Iranian Medicine最新文献

Background: Cardiovascular disease (CVD) is a major global health concern, the leading cause of death and disability. Thus, preventive interventions targeting modifiable risk factors are essential. Mobile-health technologies have emerged as promising tools for improving prevention by modifying risk factors. We created the "Green Heart" mobile app to help coronary artery disease (CAD) patients control their risk factors. The app has three modules: smoking cessation, dyslipidemia (DLP) control, and blood pressure (BP) management. This study evaluated the app's performance in monitoring hypertension (HTN) and DLP among known CAD cases.

Methods: A randomized controlled trial enrolled 1590 CAD subjects, including 1114 hypertensive patients and 1488 subjects with DLP, and assigned them randomly to paper-based education or application-based groups.

Results: Regarding HTN, after 6 months, we finally analyzed 545 and 546 hypertensive patients, assigned to the conventional and app groups, respectively. Patients in the app group were more likely to have their BP managed successfully (88.6% vs. 78.5%; P<0.001). The app group showed higher odds of successful BP management (odds ratio [OR]: 2.13; 95% CI: 1.51 - 3.03). Regarding DLP, we analyzed 728 patients in the conventional and 714 patients in the app group. A higher percentage of patients in the app group (24.8%) had low-density lipoprotein cholesterol (LDL-C) levels less than 70 mg/dL (16.1%; P<0.001). The app group showed higher odds of reducing LDL-C (OR: 1.72; 95% CI: 1.32-2.26).

Conclusion: We found that using the Green Heart app in the self-monitoring setting significantly improved BP and DLP management across the study population.

Background: Elder abuse (EA) is a serious public health issue recognized as a healthcare priority. Personality traits can influence social behaviors. This study aimed to determine the prevalence of self-reported domestic EA and its relationship with personality traits of older people and their family caregivers.

Methods: A cross-sectional study was conducted in 2022. The research population included older people living in the urban community of the Lorestan Province (in the western region of Iran) selected by multistage cluster sampling. In general, 998 older people and their family caregivers were sampled. The data collection tool was a three-part questionnaire: a. demographic characteristics of the older people, b. questionnaire on the incidence of elder abuse, and c. short version of the NEO Five-Factor Inventory-Revised (NEO-FFI-R) for measuring the personality traits of the older people or family caregivers. The statistical software used was Stata 14.

Results: The present study reported that the prevalence of EA at home was 37.78%. In the present study, older age, female gender, unmarried/single status, lower education, unemployment, and rented house characteristics were predictors of EA. High agreeableness, high extroversion, and low neuroticism reduce conflict and tension in older people with their relatives and family, which appear to be protective factors against EA.

Conclusion: Policymakers and health experts should prepare training and screening programs to consider these factors so that older people exposed to EA can be identified more quickly and early interventions can be used to improve their health status and increase their quality of life.

Background: Occult hepatitis B infection (OBI) refers to the presence of hepatitis B virus (HBV) DNA in the serum or liver of individuals who tested negative for HBV surface antigen (HBsAg). This study aimed to determine seropositivity for antibodies against HBV core antigen (anti-HBc) and the frequency of OBI among the HBsAg non-reactive blood donors in Mashhad, northeastern Iran.

Methods: In this cross-sectional study, serum samples of HBsAg-negative blood donors were examined for anti-HBc during June and August 2018. Anti-HBc-positive samples were tested for antibodies against HBsAg (anti-HBs), and those with negative results were classified as isolated anti-HBc cases. The presence of HBV DNA in the C, S, and X gene regions was assessed by a qualitative real-time polymerase chain reaction method in all HBsAg-negative samples. OBI subjects were detected by the presence of at least one HBV genomic region.

Results: Of 540 HBsAg-negative donors, 29 (5.4%; 95% confidence interval: 3.6-7.6%) showed seroreactivity for anti-HBc, of whom 18 individuals were also seropositive for anti-HBs. All donors showed negative results for all three HBV genes regardless of their serum anti-HBc status.

Conclusion: Based on our findings, we suggest routine screening of Iranian blood donation volunteers for serum anti-HBc and anti-HBs but not HBV DNA.

Macroscopic tumor implants in the hernia sac are a very rare condition. They occur as a result of the implantation of malignant cells in the malignant ascites from the inguinal canal to the hernia sac. In this case report, we share the clinical and radiological findings of the macroscopic tumoral implants in the hernia sac at the level of the inguinal canal and scrotum in a male patient aged 65 years with a history of total gastrectomy for gastric adenocarcinoma and developing malignant ascites six months after the surgery.

Background: On a global scale, approximately 350 million are affected by hepatitis B, and 71 million by hepatitis C. People in custody face elevated risks for these infections. The prevalence and risk factors in Iranian prisons are insufficiently documented. The principal objective of this study was to ascertain the prevalence of hepatitis B and C, coupled with the identification of pertinent influencing factors, within the confines of Zahedan central prison, situated in the southeastern region of Iran.

Methods: In 2019, we conducted an analytical cross-sectional study involving 407 people in custody, using stratified random sampling. To definitively diagnose hepatitis C virus (HCV) infection (P<0.05), a checklist developed by the researchers, along with enzyme-linked immunosorbent assay (ELISA) and polymerase chain reaction (PCR) techniques, were employed.

Results: This study comprised 406 participants (96.3% male) with a median age of 32 years (27-38). Approximately 62% were married, and a substantial proportion of the participants had low education levels (47%), unemployment (64%), and belonged to the Baloch ethnicity (64%). The overall prevalence of hepatitis C and B infections was 2.7% and 10.6%, respectively. Tattooing (adjusted odds ratio [AOR]: 2.07, 95% CI: 1.9-4.5) and marriage (AOR: 1.78, 95% CI: 1.05-3.04) were identified as risk factors for hepatitis B. Moreover, hepatitis C showed a statistically significant association with a family history of hepatitis B and C (AOR: 3.31, 95% CI: 3.93-24.64) and intravenous (IV) drug use (AOR: 7.01, 95% CI: 1.52-32.78) according to the multivariable logistic regression analysis.

Conclusion: The prevalence of hepatitis B and C was higher among people in custody in Zahedan central prison. Consequently, targeted interventions are vital to address and reduce viral hepatitis burden in custodial settings.

Background: This study aimed to explore the factors associated with extended length of stay (LOSE) for patients with tuberculosis (TB) in China, and construct a nomogram to predict it. In addition, the impact of extended hospital stay on short-term readmission after discharge was assessed.

Methods: A retrospective observational study was conducted at Changsha Central Hospital, from January 2018 to December 2020. Patients (≥18 years who were first admitted to hospital for TB treatment) with non-multidrug-resistant TB were selected using the World Health Organization's International Classification of Diseases, 10th Revision (ICD-10-CM), and the hospital's electronic medical record system.

Results: A multivariate logistic regression analysis was used to evaluate the associations between TB and LOSE. The relationship between length of hospital stay and readmission within 31 days after discharge was assessed using a univariate Cox proportional risk model. A total of 14259 patients were included in this study (13629 patients in the development group and 630 in the validation group). The factors associated with extended hospital stays were age, smear positivity, extrapulmonary involvement, surgery, transfer from other medical structures, smoking, chronic liver disease, and drug-induced hepatitis. There was no statistical significance in the 31-day readmission rate of TB between the LOSE and length of stay≤14 days groups (hazards ratio: 0.92, 95% CI: 0.80-1.06, P=0.229).

Conclusion: LOSE with TB was influenced by several patient-level factors, which were combined to construct a nomograph. The established nomograph can help hospital administrator and clinicians to identify patients with TB requiring extended hospital stays, and more efficiently plan for treatment programs and resource needs.

Background: Cardiovascular diseases (CVDs) pose a significant global health concern and are the most common cause of death and disability, necessitating preventive interventions targeting modifiable risk factors. Recently, mobile-health technology has been developed to improve the delivery of cardiovascular prevention by risk factor modification. The "Green Heart" mobile application (app) was designed to aid in risk factor control among coronary artery disease (CAD) patients.

Methods: This parallel-group, single-blinded randomized controlled trial enrolled 1590 CAD patients, including 668 current smokers, randomly assigned to control (paper-based education) and intervention (application-based) groups. The app encompassed three modules targeting smoking cessation, dyslipidemia control, and blood pressure management. This study evaluated the impact of the smoking cessation module on behavioral change among current smokers. Green Heart assesses nicotine dependence, offering personalized quit plans, educational content, motivational messages, and automated progress tracking. The odds of smoking behavior changes during the 24-week follow-up underwent assessment.

Results: The intention-to-treat analysis highlighted significantly elevated rates of smoking cessation and reductions in the intervention group versus the control group. Adherence to the app (per-treatment analysis) also demonstrated significantly more favorable smoking behavior changes among the application users. Logistic regression emphasized higher odds of quitting and reduction in smoking in the application group, showing an odds ratio of 2.14 (95% CI: 1.16-3.97) compared to those not using the app (P=0.015).

Conclusion: Our results confirmed that complete adherence to the app for at least 24 weeks was linked to alterations in cigarette smoking behavior among CAD patients. Trial Registration Number: IRCT20221016056204N1.

Background: Acute appendicitis is known as the most common diagnosis of acute abdomen leading to surgery. Therefore, timely diagnosis is of special importance. This study was conducted with the aim of pathological assessment of the appendix in appendectomies performed in children to determine the rate of negative appendectomies and the predictors of negative appendectomy and to evaluate the paraclinical tools used in the diagnosis of acute appendicitis.

Methods: This is a cross-sectional descriptive study. All children who underwent appendectomy at Shahid Motahari Hospital in Urmia from March 2021 to March 2022 were examined. The required data including demographic, paraclinical, and final pathology characteristics were collected and recorded. The investigated cases were classified into positive and negative appendectomy categories for comparison.

Results: Among 234 pathology samples of the appendix, 22 cases were related to accidental appendectomy. In addition, 11.3% of cases were negative appendectomy and 88.7% were positive appendectomy. The age range of 8 to 14 years and male gender were associated with a lower negative appendectomy rate (both P<0.001). Inflammatory (49.5%) and gangrenous appendicitis (30.2%) were the most commonly reported histopathologies. Sonography had a sensitivity of 84%, a specificity of 79%, and an overall diagnostic accuracy of 83%.

Conclusion: A relatively significant number of accidental and negative appendectomies are performed. More careful investigation and the use of expectant and medical treatment instead of surgery, especially in females and young children, can be effective in improving diagnostic accuracy and preventing negative appendectomies.

Background: Infective endocarditis (IE), a severe and economically impactful condition, lacks substantial epidemiological data in the North Africa and Middle East (NAME) region. This study focused on analyzing the trends and burden of IE in NAME from 1990 to 2019, taking into account factors like age, gender, and socio-demographic index (SDI).

Methods: The Global Burden of Disease data from 1990 to 2019 was retrieved from the Institute for Health Metrics and Evaluation (IHME) website.

Results: Between 1990 and 2019, the age-standardized rates (ASR) for IE incidence increased by 59%, and prevalence and years lived with disability (YLDs) rose by 12% and 9%, respectively, while the ASRs for deaths, disability-adjusted life years (DALYs), and years of life lost (YLLs) saw reductions of 22%, 34%, and 34% in the NAME region. Death rates among children under five declined by 72%. Gender and the SDI did not significantly influence these changes. Saudi Arabia witnessed the most significant increase in ASR of IE incidence since 1990, while Turkey had the highest rates in 2019. The year 2019 also saw the highest death rate among those aged 70 and over, with over 91000 DALYs from IE. DALYs decreased by 71.5% for children under five from 1990 to 2019 but remained stable for individuals in their seventies. Jordan showed the most notable decrease in ASRs for deaths, DALYs, and YLLs among children under five.

Conclusion: This study highlights the changing epidemiology of IE in the NAME region, recommending the establishment of multidisciplinary IE registries, antibiotic prophylaxis guidelines for healthcare-associated IE, and strategies to control antimicrobial resistance as key mitigation measures.

Background: Today, cardiovascular disease (CVD) is the most important cause of death around the world. In this study, our main aim was to predict CVD using some of the most important indicators of this disease and present a tree-based statistical framework for detecting CVD patients according to these indicators.

Methods: We used data from the baseline phase of the Fasa Cohort Study (FACS). The outcome variable was the presence of CVD. The ordinary Tree and generalized linear mixed models (GLMM) were fitted to the data and their predictive power for detecting CVD was compared with the obtained results from the GLMM tree. Statistical analysis was performed using the RStudio software.

Results: Data of 9499 participants aged 35‒70 years were analyzed. The results of the multivariable mixed-effects logistic regression model revealed that participants' age, total cholesterol, marital status, smoking status, glucose, history of cardiac disease or myocardial infarction (MI) in first- and second-degree relatives, and presence of other diseases (like hypertension, depression, chronic headaches, and thyroid disease) were significantly related to the presence of CVD (P<0.05). Fitting the ordinary tree, GLMM, and GLMM tree resulted in area under the curve (AUC) values of 0.58 (0.56, 0.61), 0.81 (0.77, 0.84), and 0.80 (0.76, 0.83), respectively, among the study population. In addition, the tree model had the best specificity at 81% but the lowest sensitivity at 65% compared to the other models.

Conclusion: Given the superior performance of the GLMM tree compared with the standard tree and the lack of significant difference with the GLMM, using this model is suggested due to its simpler interpretation and fewer assumptions. Using updated statistical models for more accurate CVD prediction can result in more precise frameworks to aid in proactive patient detection planning.