Diagnostic accuracy of large language models in psychiatry.

INTRODUCTION: Medical decision-making is crucial for effective treatment, especially in psychiatry where diagnosis often relies on subjective patient reports and a lack of high-specificity symptoms. Artificial intelligence (AI), particularly Large Language Models (LLMs) like GPT, has emerged as a promising tool to enhance diagnostic accuracy in psychiatry. This comparative study explores the diagnostic capabilities of several AI models, including Aya, GPT-3.5, GPT-4, GPT-3.5 clinical assistant (CA), Nemotron, and Nemotron CA, using clinical cases from the DSM-5. METHODS: We curated 20 clinical cases from the DSM-5 Clinical Cases book, covering a wide range of psychiatric diagnoses. Four advanced AI models (GPT-3.5 Turbo, GPT-4, Aya, Nemotron) were tested using prompts to elicit detailed diagnoses and reasoning. The models' performances were evaluated based on accuracy and quality of reasoning, with additional analysis using the Retrieval Augmented Generation (RAG) methodology for models accessing the DSM-5 text. RESULTS: The AI models showed varied diagnostic accuracy, with GPT-3.5 and GPT-4 performing notably better than Aya and Nemotron in terms of both accuracy and reasoning quality. While models struggled with specific disorders such as cyclothymic and disruptive mood dysregulation disorders, others excelled, particularly in diagnosing psychotic and bipolar disorders. Statistical analysis highlighted significant differences in accuracy and reasoning, emphasizing the superiority of the GPT models. DISCUSSION: The application of AI in psychiatry offers potential improvements in diagnostic accuracy. The superior performance of the GPT models can be attributed to their advanced natural language processing capabilities and extensive training on diverse text data, enabling more effective interpretation of psychiatric language. However, models like Aya and Nemotron showed limitations in reasoning, indicating a need for further refinement in their training and application. CONCLUSION: AI holds significant promise for enhancing psychiatric diagnostics, with certain models demonstrating high potential in interpreting complex clinical descriptions accurately. Future research should focus on expanding the dataset and integrating multimodal data to further enhance the diagnostic capabilities of AI in psychiatry.

Magnesium sulfate for fetal neuroprotection in preterm pregnancy: a meta-analysis of randomized controlled trials.

BACKGROUND: Intravenous administration of magnesium sulfate (MgSO4) to expectant individuals before childbirth, has been evaluated to reduce the likelihood of mortality and occurrence cerebral palsy in their offspring. Therefore, this systematic review and meta-analysis conducted to determine if were the prophylactic use of magnesium sulfate in women at risk for preterm delivery leads to decrease in the incidence of death or cerebral palsy. METHODS: A comprehensive search of electronic databases was done to identify relevant studies. Selection of eligible studies was based on predetermined inclusion criteria. Data extraction was performed, and the methodological quality of the selected studies was assessed using appropriate evaluative tools. A meta-analysis was carried out to estimate the overall effect of intravenous administration of magnesium sulfate on the incidence of death or cerebral palsy. RESULTS: A total of 7 studies met the inclusion criteria and were included in the final analysis. No significant publication bias was observed. The risk of fetal neurological impairment was significantly lower in the MgSO4 group compared to the control group relative risk (RR = 0.70, 95% CI: 0.56 to 0.87; I20%). However, neonatal mortality was not significantly associated with MgSO4 injection. (RR = 1.03, 95% CI: 0.88 to 1.21; I2 = 42%). Subgroup analysis was done based on the bolus dosage of MgSO4 and the duration of the trial follow-up. revealing a non-significant differences between-group. CONCLUSION: This study demonstrated that MgSO4 administration can improve fetal neurological impairment and cerebral palsy but is not linked to reducing mortality. Further studies are necessary to strengthen the evidence and clarify the underlying mechanisms.

The prevalence of depression, anxiety, and sleep disturbances among medical students and resident physicians in Iran: A systematic review and meta-analysis.

BACKGROUND: We sought to conduct this comprehensive systematic review and meta-analysis to assess the prevalence of depression, anxiety, and sleep disturbance in Iranian medical students and resident physicians. METHODS: A systematic search was conducted on 23 December 2023 in PubMed/MEDLINE, Web of Science, Scopus, and Iranian national databases. We pooled the prevalence of individual studies using the random effect model. RESULTS: Our systematic search showed 36 articles that meet the eligibility criteria. Most included studies were cross-sectional. The most used questionnaire to assess depression, anxiety, and sleep disturbance were Beck Depression Inventory (BDI), The Depression, Anxiety and Stress Scale-21 Items (DASS-21), and The Pittsburgh Sleep Quality Index (PSQI), respectively. The overall prevalence of depression, anxiety, and sleep disturbance among Iranian medical students were 43% (95%CI: 33%-53%%, I2 = 98%), 44% (95%CI: 31%-58%%, I2 = 99%), 48% (95%CI: 39%-56%%, I2 = 97%), respectively. The results of subgroup and meta-regression analyses showed questionnaires used and the place of the medical school were significantly associated with the prevalence of aforementioned outcomes. Funnel plot and Begg's regression test did not show a significant source of funnel plot asymmetry for depression, anxiety, and sleep disturbance. CONCLUSION: In conclusion, our study showed that nearly half of the medical students had some type of depression, anxiety, and sleep disturbance problems. To address this serious national public health issue, efficient preventive measures, routine screenings, and prompt interventions are required.

Incidence of anxiety after traumatic brain injury: a systematic review and meta-analysis.

BACKGROUND: Traumatic brain injury (TBI) is defined as acquired cerebral damage caused by an external mechanical impact, which has the potential to lead to transient or enduring debilitation. TBI is associated with many forms of long-lasting psychiatric conditions, including anxiety disorders. As anxiety is highly debilitating by causing impaired social functioning and decreased quality of life for the afflicted, especially in the form of anxiety disorders such as generalized anxiety disorder, certain efforts have been made to explore the factors associated with it, and one such factor is TBI. METHODS: We searched PubMed, Scopus, and Web of Science on January 26th, 2024 for observational case-control or cohort or cross-sectional studies assessing the incidence of anxiety symptoms or disorders in patients with TBI compared to healthy individuals or the same individuals if pre-TBI information regarding anxiety was available. We calculated the pooled incidence and relative risk (RR) and 95% confidence interval (95CI) using the inverse variance method. Publication bias was assessed using Eggers's regression test. Quality assessment was performed using the Newcastle-Ottawa scale. Sub-group analyses were conducted for the type of anxiety (anxiety disorder vs anxiety symptoms), TBI severity, and type of anxiety disorders. RESULTS: The incidence rate of anxiety after traumatic brain injury was 17.45% (95CI: 12.59%, 22.31%) in a total of 705,024 individuals. Moreover, TBI patients were found to be 1.9 times as likely to have anxiety compared to their non-TBI counterparts [Random effects model RR = 1.90 [1.62; 2.23], p-value < 0.0001] using a population of 569,875 TBI cases and 1,640,312 non-TBI controls. Sub-group analysis revealed TBI severity was not associated with anxiety and generalized anxiety disorder was the most common type of anxiety disorder reported post-TBI. CONCLUSION: Patients who have experienced a TBI exhibit a significantly greater incidence of anxiety symptoms and anxiety disorders in the aftermath when compared to healthy individuals.

Cardiac adverse events after Chimeric Antigen Receptor (CAR) T cell therapies: an updated systematic review and meta-analysis.

PURPOSE: Chimeric antigen receptor (CAR) T-cell therapy is a new revolutionary method for treating refractory or relapsed hematologic malignancies, CAR T-cell therapy has been associated with cytokine release syndrome (CRS) and cardiotoxicity. We directed a systematic review and meta-analysis to determine the incidence and predictors of cardiovascular events (CVE) with CAR T-cell therapy. METHODS: We investigated PubMed, Embase, Cochrane Library, and ClinicalTrials.gov for studies reporting cardiovascular outcomes in CAR-T cell recipients. The study protocol was listed in the International Prospective Register of Systematic Reviews (PROSPERO ID: CRD42023478602). Twenty-three studies were included in this study. RESULTS: The pooled incidence of CVE was 54% for arrhythmias, 30% for heart failure, 20% for cardiomyopathy, 10% for acute coronary syndrome, and 7% for cardiac arrest. Patients with CVE had a higher incidence of cytokine release syndrome grade ≥ 2 (RR 2.36, 95% CI 1.86-2.99). The incidence of cardiac mortality in our meta-analysis was 2% (95% CI: 1%-3%). Left ventricular ejection fraction decline was greater in the CVE group (-9.4% versus -1.5%, p < 0.001). Cardiac biomarkers like BNP, CRP, creatinine, and ferritin were also elevated. CONCLUSIONS: CAR T-cell therapy commonly leads to cardiotoxicity, mediated by cytokine release syndrome. Vigilant monitoring and tailored treatments are crucial to mitigate these effects. Importantly, there's no significant difference in cardiac mortality between groups, suggesting insights for optimizing preventive interventions and reducing risks after CAR T-cell therapy.

Contribution of obesity in the association between fast-food consumption and depression: A mediation analysis.

BACKGROUND: Depression is a significant mental health concern, and the ubiquitous presence of fast-food in modern diets raises questions about its impact on mental well-being. Understanding the intricate relationship between fast-food consumption, obesity, and depression is essential for addressing the complex web of factors contributing to this public health issue. METHODS: In this study, we analyzed data from the National Health and Nutritional Examination Surveys (NHANES) spanning from 2008 to 2018, involving 31,460 participants. RESULTS: Among the 31,460 subjects in the survey, 2871 exhibited signs of depression, with an average age of 48.2 years. Each additional weekly fast-food meal was linked to 4 % higher odds of depression, with consuming over two such meals increasing the odds by 24 %. Adjusted models exploring the relationship between body mass index (BMI), fast-food consumption, and depression indicated an increased risk with greater fast-food intake, especially within subgroups based on obesity status. Mediation analysis revealed that fast-food consumption and depression were largely independent of obesity, with obesity accounting for only 6.5 % of the total effect. No significant mediation effect was found in the overweight subgroup, but the mediated effect was increased with higher BMI in more obese patients, notably in those with BMI ≥ 30 or ≥40. Sensitivity analysis confirmed these findings with more conservative estimates across all subgroups. CONCLUSION: This study highlights a substantial connection between fast-food consumption and depression. While obesity plays a role, it does not fully mediate the relationship, suggesting the presence of other contributing factors.

Effect of physical activity for reducing anxiety symptoms in older adults: a meta-analysis of randomized controlled trials.

BACKGROUND: Anxiety symptoms in older adults can significantly impact their well-being. Physical activity is increasingly recognized as a potential intervention to alleviate anxiety in this population. We conducted a systematic review and meta-analysis to explore the impact of physical activity on anxiety symptoms in geriatric individuals. METHODS: A systematic search was conducted in MEDLINE (via PubMed), Scopus, and Embase databases until November 29, 2023. Two independent reviewers screened articles based on predefined inclusion criteria. RESULTS: Eleven randomized controlled trials were included. These trials, involving 770 geriatric participants, demonstrated a significant overall effect of physical activity on reducing anxiety symptoms (SMD =-0.60, 95% CI: -0.88 to -0.32). Subgroup analysis based on type of intervention and duration of follow-up was performed. The results showed all types of exercises reduced anxiety symptoms compared to the control group. Furthermore, those studies with shorter follow-up (less than 10 weeks) did not show a statistically significant reduction in anxiety symptoms. Moderate heterogeneity was observed (I2 = 67%). Sensitivity analyses confirmed the robustness of the overall effect size. Funnel plot inspection and Egger's test (p = 0.36) suggested no signs of publication bias or small study effects. CONCLUSION: This meta-analysis provides strong evidence that physical activity significantly reduces anxiety symptoms in older adults. The study highlights the differential effects of cardio and strength exercises and underscores the high quality of evidence supporting the anxiolytic benefits of physical activity in geriatric populations.

Dexmedetomidine administration as a possible cognitive enhancer through increasing the level of brain-derived neurotrophic factors in surgical patients: a systematic review and meta-analysis.

OBJECTIVE: This meta-analysis aimed to investigate the effect of dexmedetomidine on brain-derived neurotrophic factor (BDNF) levels in individuals undergoing various medical procedures. We systematically searched electronic databases and manually identified relevant articles to assess the impact of dexmedetomidine on BDNF levels in surgical patients. METHODS: A comprehensive literature search was conducted in PubMed, Scopus, Embase, and Web of Science databases with no language restrictions. Studies that examined the effects of dexmedetomidine administration on BDNF levels in surgical patients were included. RESULTS: The overall analysis revealed a statistically significant increase in BDNF levels in individuals receiving dexmedetomidine compared to controls (Standardized Mean Difference SMD = 1.65, 95% CI: 1.02 to 2.28; I2: 89%). Subgroup analyses based on the anesthesia method (p < 0.01), and the type of surgery (p < 0.01) showed significant between-group differences (Fig. 3). The results of the sensitivity analyses indicated that individual studies did not significantly affect the overall results. CONCLUSION: This meta-analysis indicates that dexmedetomidine administration is associated with a significant increase in BDNF levels in individuals undergoing surgical procedures. These findings highlight the potential role of dexmedetomidine in modulating BDNF levels, which may have implications for optimizing perioperative neuroprotective strategies and improving patient outcomes.

Impact of Depression on Postoperative Medical and Surgical Outcomes in Spine Surgeries: A Systematic Review and Meta-Analysis.

Introduction: The relationship between psychiatric disorders, including depression, and invasive interventions has been a topic of debate in recent literature. While these conditions can impact the quality of life and subjective perceptions of surgical outcomes, the literature lacks consensus regarding the association between depression and objective perioperative medical and surgical complications, especially in the neurosurgical domain. Methods: MEDLINE (PubMed), EMBASE, PsycINFO, and the Cochrane Library were queried in a comprehensive manner from inception until 10 November 2023, with no language restrictions, for citations investigating the association between depression and length of hospitalization, medical and surgical complications, and objective postoperative outcomes including readmission, reoperation, and non-routine discharge in patients undergoing spine surgery. Results: A total of 26 articles were considered in this systematic review. Upon pooled analysis of the primary outcome, statistically significantly higher rates were observed for several complications, including delirium (OR:1.92), deep vein thrombosis (OR:3.72), fever (OR:6.34), hematoma formation (OR:4.7), hypotension (OR:4.32), pulmonary embolism (OR:3.79), neurological injury (OR:6.02), surgical site infection (OR:1.36), urinary retention (OR:4.63), and urinary tract infection (OR:1.72). While readmission (OR:1.35) and reoperation (OR:2.22) rates, as well as non-routine discharge (OR:1.72) rates, were significantly higher in depressed patients, hospitalization length was comparable to non-depressed controls. Conclusions: The results of this review emphasize the significant increase in complications and suboptimal outcomes noted in patients with depression undergoing spinal surgery. Although a direct causal relationship may not be established, addressing psychiatric aspects in patient care is crucial for providing comprehensive medical attention.

Effect of Saffron Versus Selective Serotonin Reuptake Inhibitors (SSRIs) in Treatment of Depression and Anxiety: A Meta-analysis of Randomized Controlled Trials.

CONTEXT: Saffron, a natural remedy with potential antidepressant and anxiolytic properties, has gained attention as a potential therapeutic option. OBJECTIVE: This systematic review and meta-analysis aimed to evaluate the comparative effectiveness of saffron versus selective serotonin reuptake inhibitors (SSRIs) in treating depression and anxiety. DATA SOURCE: Electronic databases, including PubMed, Embase, Scopus, Web of Science, and the Cochrane database, were searched from inception to April 31, 2023. DATA EXTRACTION: Randomized controlled trials (RCTs) comparing saffron intervention with SSRIs in adults with depression or anxiety were included. DATA ANALYSIS: Random-effects meta-analysis using standardized mean differences (SMDs) and risk ratio (RRs) with their 95% CIs calculated continuous and binary outcomes, respectively. Meta-analysis of 8 studies assessing depression outcomes revealed a nonsignificant difference between saffron and SSRIs in reducing depressive symptoms (SMD = 0.10l 95% CI: -0.09 to 0.29). Four studies reporting anxiety outcomes showed a nonsignificant difference between saffron and SSRIs in reducing anxiety symptoms (SMD = 0.04; 95% CI: -0.22 to 0.29). With regard to safety, participants receiving saffron had fewer adverse events than the SSRI group (risk difference: -0.06; 95% CI: -0.09, -0.04; I2: 0%). CONCLUSION: Saffron could be a potential SSRI alternative to reduce depressive and anxiety symptoms with fewer adverse events. Further research with larger sample sizes and in diverse populations is warranted to validate these findings and explore potential moderators of treatment response. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration no. CRD42023443236.

Global prevalence of obesity and overweight among medical students: a systematic review and meta-analysis.

BACKGROUND: Obesity is a global health concern, and understanding its prevalence among medical students is crucial for shaping targeted interventions. This systematic review and meta-analysis aim to comprehensively assess the prevalence of obesity and overweight among medical students. METHODS: A systematic literature search was conducted across major databases, including PubMed, Scopus, and Web of Science, in order to identify relevant studies that evaluated obesity and overweight among medical students. Inclusion criteria encompassed published and peer-reviewed studies reporting the prevalence of obesity among medical students. RESULTS: A total of 1245 studies were screened based on their titles and abstracts, and 99 studies comprised a total sample size of 47,455 medical students across diverse geographical regions were included in this study. The overall pooled prevalence of overweight among medical students was estimated at 18% (95% CI: 17%-20%), with obesity at 9% (95% CI: 7%-11%). The combined prevalence of excess weight (overweight and obesity) was calculated to be 24% (95% CI: 22%-27%). Meta-regression results indicated a significant correlation between study year and overweight/obesity prevalence (p < 0.05), with a trend towards increasing prevalence over time. Male medical students exhibited a higher pooled prevalence, increasing with the percentage of male participants. CONCLUSION: This systematic review and meta-analysis provide a comprehensive overview of the prevalence of obesity among medical students globally. In summary, obesity and overweight present a substantial worldwide health concern, especially among susceptible groups such as medical students, whose prevalence is on the rise. It is crucial to grasp the extent and contributing factors of obesity among medical students to formulate precise interventions aimed at fostering healthier habits and alleviating the adverse impacts of obesity on both physical and mental health.

Incident diabetes in adolescents using antidepressant: a systematic review and meta-analysis.

BACKGROUND: The use of antidepressants has been on the rise among adolescents and young adults, populations also increasingly at risk for type 2 diabetes. However, the relationship between antidepressant uses and diabetes incidence in these age groups remains poorly understood. METHODS: Adhering to PRISMA guidelines and the Cochrane Handbook, we conducted a comprehensive search in PubMed, Scopus, Embase, and Web of Science up to 21 February 2024, registering our protocol on PROSPERO (CRD42024516272). RESULTS: Six studies, ranging from 16, 470 to 1, 582, 914 participants and spanning 2010 to 2023 across North America, Europe, and Asia, were included. The meta-analysis revealed a significant association between antidepressant use and diabetes onset, with 10 cases per 1, 000 observations (p < 0.01; I2 = 100%). Adolescents using high doses of antidepressants showed a 62% increased risk of developing diabetes compared to non-users or those on low doses (Risk ratio = 1.67; 95% CI 1.19-2.35; I2 = 87%; p < 0.01). The overall quality of the studies was high, with an average Newcastle-Ottawa Scale score of 7.66. Sensitivity analysis highlighted the robustness of these findings, except when removing specific studies, indicating potential sources of heterogeneity. CONCLUSION: Antidepressant use in adolescents is associated with a significantly increased risk of diabetes onset, particularly at higher doses. This finding underscores the necessity for vigilant monitoring of glucose levels in this population and warrants further investigation into the underlying mechanisms and long-term outcomes.

Statin therapy improves outcomes in infective endocarditis: evidence from a meta-analysis.

BACKGROUND: Beyond its ability to decrease cholesterol, statin medication has been proved to have a variety of pleiotropic effects, such as anti-inflammatory and immunomodulatory effects. Statins are an appealing therapeutic option for individuals with infective endocarditis because of these effects, as the condition is linked to a strong inflammatory response. METHODS: A comprehensive search was done in Medline/PubMed, Cochrane database (CENTRAL), and Google Scholar to identify relevant studies reporting outcomes of interest (rate of mortality, intensive care unit admission, and embolic events) comparing those who are on statin therapy to nonusers were included. We performed a random effect meta-analysis to pool each study's individual results. RESULTS: Three articles were included in the study. The pooled results regarding our primary endpoint showed there was a significant reduction in mortality among statin users in all time points (1-year mortality: OR 0.69, 95% CI 0.61-0.79, I2: 0%; Chi2 = 0.01; p < 0.0001). Meta-analysis for the secondary outcome showed statin users are less frequently admitted to the intensive care unit (OR 0.73, 95% CI 0.59-0.90, I2: 0%; Chi2 = 0.00; p = 0.0004). The rate of mortality was significantly lower for those with a previous history of cerebrovascular disease who were on statin therapy compared to those without cerebrovascular diseases (CVD). CONCLUSIONS: The results of the present study support a significant association with statin therapy as a potential treatment proposed for individuals at risk of infective endocarditis.

Alkalinization Using Sodium Bicarbonate for COVID-19 Treatment: A Systematic Review and Meta-Analysis.

BACKGROUND: A systematic review and meta-analysis have been conducted to evaluate the efficacy of alkalinization for COVID-19 patients based on current evidence to determine the impact of alkalinization on COVID-19 outcomes. METHODS: We searched MEDLINE (Pubmed), Web of Science, Cochrane Library, and Clinicaltrials.gov for studies evaluating the efficacy of alkalinization up to 30 April 2023. Based on the PRISMA 2020 statement criteria a systematic review and meta-analysis of studies were performed. RESULTS: The results of our meta-analysis showed a significant reduction in mortality rate in the alkalinization group compared to controls (RR 0.73, 95% CI: 0.56-0.95; I2 = 0%). However, our subgroup analysis showed no significant improvement in RCT-only studies (RR 0.78, 95% CI: 0.59-1.05; I2 = 0%), the recovery rate was significantly higher in the alkalinization group (RR 2.13, 95% CI: 1.39-3.26; I2 = 0%), duration of recovery also has improved in alkalinization group (SMD 0.76, 95% CI: 0.33-1.18; I2 = 0%). The results of our meta-analysis showed a significant reduction in the duration of hospitalization in the alkalinization group compared to controls with very low certainty of evidence (SMD -0.66, 95% CI: -0.97 to -0.35; I2 = 36%). CONCLUSION: With low certainty of evidence, alkalinization (by sodium bicarbonate) can be an efficient and safe adjuvant treatment for COVID-19 patients. Future randomized controlled trials are needed to strengthen the available evidence.

Efficacy of teplizumab for treatment of type 1 diabetes: A meta-analysis of randomized controlled trials.

BACKGROUND: The management of Type 1 Diabetes Mellitus (T1DM) is a significant clinical challenge. This study evaluated the efficacy of teplizumab, an immunomodulatory drug, in patients with T1DM, using a systematic review and meta-analysis approach. METHODS: We systematically searched multiple databases including Medline, Scopus, and others up to 10 January 2024, without language or regional restrictions. We included randomized controlled trials (RCTs) comparing teplizumab with placebo in T1DM patients. RESULTS: Our analysis incorporated 8 RCTs, predominantly involving participants aged 7-35 years, diagnosed with T1DM and treated with 14-day courses of teplizumab. The primary outcomes included insulin use, C-peptide levels, and HbA1c levels. We observed a significant reduction in insulin use in the teplizumab group standardised mean difference of -0.50 (95% Confidence Interval [CI]: -0.76 to -0.23, p < 0.001; I2 = 49%). C-peptide levels were consistently higher in the teplizumab group, indicating improved endogenous insulin production. However, no significant change was noted in HbA1c levels between the groups. Quality assessment indicated a low risk of bias in most studies. CONCLUSIONS: Teplizumab has a significant impact on reducing insulin dependence and enhancing endogenous insulin production in T1DM patients. However, its effect on long-term glycaemic control, as indicated by HbA1c levels, remains inconclusive.

Socio-behavioral determinants of health-related quality of life among patients with type 2 diabetes: comparison between 2015 and 2018.

INTRODUCTION: Type 2 diabetes (T2D) is a common chronic disease that significantly affects an individual's overall health and well-being. The aim of this study is to investigate the factors that influence the health-related quality of life (HRQoL) of patients with T2D. METHODS: This study conducted using data from 6th phase (2015-2017) and 7th phase (2018-2022) of the Tehran Lipid and Glucose Study (TLGS). Data were collected through a combination of interviews, physical examinations, and laboratory tests. Quality of life questionnaire (SF-12) that consists of 12 questions was used to assess physical and mental health functioning. The generalized estimating equation model was used to assess the association between socio-behavioral factors and changes in HRQoL. RESULTS: The study included 498 patients with T2D. The changes in HRQoL in patients with T2D followed a sex-specific pattern. Analysis of the physical component score (PCS) and the mental component score (MCS) showed a non-significant change in the total score during the three-year longitudinal study. However, the role physical (RP) of the PCS and the social functioning (SF) of the MCS showed a statistically significant change during this period. In addition, sex, body mass index (BMI), and having cardiovascular disease (CVD) and chronic kidney disease (CKD) showed a significant association with RP changes, and only job status showed a significant association with SF changes. CONCLUSIONS: By recognizing the sex-specific patterns in HRQoL changes and understanding the multifaceted nature of factors such as BMI, CVD and CKD, healthcare professionals can develop targeted interventions that go beyond traditional diabetes management.

The synergistic effect of obesity and dyslipidemia on hypertension: results from the STEPS survey.

BACKGROUND: Obesity and dyslipidemia are important risk factors for hypertension (HTN). When these two conditions coexist, they may interact in a synergistic manner and increase the risk of developing HTN and its associated complications. The aim of this study was to investigate the synergistic effect of general and central obesity with dyslipidemia on the risk of HTN. METHOD: Data from 40,387 individuals aged 25 to 64 years were obtained from a repeated cross-sectional study examining risk factors for non-communicable diseases (STEPS) in 2007, 2011 and 2016. Body mass index (BMI) was calculated as a measure of general obesity and waist circumference (WC) as a measure of central obesity. Dyslipidemia was defined as the presence of at least one of the lipid abnormalities. Hypertension was defined as systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg or current use of antihypertensive medication. To analyze the synergistic effect between obesity and dyslipidemia and HTN, the relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (SI) were calculated. A weighted logistic regression model was performed to estimate the odds ratios (ORs) for the risk of HTN. RESULTS: The results showed an association between obesity, dyslipidemia and hypertension. The interaction between obesity and dyslipidemia significantly influences the risk of hypertension. In hypertensive patients, the presence of general obesity increased from 14.55% without dyslipidemia to 64.36% with dyslipidemia, while central obesity increased from 13.27 to 58.88%. This interaction is quantified by RERI and AP values of 0.15 and 0.06 for general obesity and 0.24 and 0.09 for central obesity, respectively. The corresponding SI of 1.11 and 1.16 indicate a synergistic effect. The OR also show that the risk of hypertension is increased in the presence of obesity and dyslipidemia. CONCLUSION: Obesity and dyslipidemia are risk factors for HTN. In addition, dyslipidemia with central obesity increases the risk of HTN and has a synergistic interaction effect on HTN. Therefore, the coexistence of obesity and lipid abnormalities has many clinical implications and should be appropriately monitored and evaluated in the management of HTN.

Association between sleep quality with maternal and neonatal outcomes during the covid-19 pandemic.

AIM: Sleep disorders during pregnancy can impact maternal and neonatal outcomes. The objective of this study is to examine the relationship between sleep quality and maternal and neonatal outcomes during the COVID-19 pandemic. METHOD: This prospective cohort study was conducted at the Educational-Therapeutic Center of Shohadaye Yaftabad Referral Hospital in Tehran, Iran, from December 2020 to September 2022. A total of 198 eligible participants were randomly assigned to either the sleep disorders group or the no sleep disorders group. Data were collected through demographic questionnaires, the Corona Disease Anxiety Scale (CDAS) questionnaire, the Pittsburgh Sleep Quality Index (PSQI), and the checklist for maternal and neonatal outcomes. RESULTS: At baseline, the sleep disorders and no sleep disorders groups were similar in terms of age, body mass index (before pregnancy), education level, employment status, gravida, parity, abortion, and history of COVID-19. Within the sleep disorders group, there was a statistically significant, direct linear correlation between sleep disorders and FBS 34-36 weeks (r = 0.33, P < 0.001) as well as Corona Disease Anxiety (CDA) (r = 0.35, P < 0.001). The linear regression results indicated that for every unit increase in sleep disorders, the risk of FBS 34-36 weeks increased by 1.09 times (ß = 1.09, P < 0.001). Additionally, sleep disorders increased the risk of CDA by 1.36 times (ß = 1.36, P < 0.001). The results showed no statistically significant differences in terms of birth weight, type of delivery (vaginal or cesarean section), gestational age (preterm or full term), length of labor stages (first and second stage), Apgar score at minutes 1 and 5, and NICU admission between the two groups. CONCLUSION: Based on the results, a certain degree of correlation exists between sleep quality and FBS at 34-36 weeks and CDA. These findings underscore the need for future public health guidelines to formulate detailed strategies to improve sleep quality during the COVID-19 pandemic.

The prevalence of depression, anxiety, and sleep disorder among dental students: A systematic review and meta-analysis.

BACKGROUND: Despite the increasing concern, the literature lacks a comprehensive synthesis of the prevalence of depression, anxiety, and sleep disturbances among dental students. METHODS: We conducted a systematic review following Cochrane Manual for Systematic Reviews of Interventions and PRISMA guidelines. Our search, spanning databases like Medline, Web of Science, and Scopus, covered data until June 5, 2023. A random effect model was utilized for the meta-analysis. RESULTS: From 508 initially identified articles, 45 studies met eligibility criteria. The pooled prevalence of depression, anxiety, and sleep disorders among dental students was estimated as follows: depression [38%, 95% confidence interval (CI): 32%-44%; I2 = 98%], anxiety [48%, 95% CI: 41%-55%; I2 = 97.7%], and sleep disorders [31%, 95% CI: 24%-38%; I2 = 85.7%]. Subgroup analyses based on geographical regions and assessment scales revealed significant between-subgroup differences. Meta-regression identified associations between the prevalence of depression and the year of publication and between the prevalence of anxiety and total sample size, participant age, and year of publication. Publication bias assessments demonstrated a lack of significant bias, strengthening the validity of the findings. CONCLUSIONS: The prevalence of depression, anxiety, and sleep disturbances in dental students is significant. This study highlighted the need for targeted interventions and support systems within dental education to alleviate the mental health challenges students face, ultimately ensuring their well-being and competence as future healthcare providers. Further research should explore the effectiveness of interventions in this population.