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.

The global prevalence of depression, anxiety, and sleep disorder among patients coping with Post COVID-19 syndrome (long COVID): a systematic review and meta-analysis.

BACKGROUND: Post COVID-19 syndrome, also known as "Long COVID," is a complex and multifaceted condition that affects individuals who have recovered from SARS-CoV-2 infection. This systematic review and meta-analysis aim to comprehensively assess the global prevalence of depression, anxiety, and sleep disorder in individuals coping with Post COVID-19 syndrome. METHODS: A rigorous search of electronic databases was conducted to identify original studies until 24 January 2023. The inclusion criteria comprised studies employing previously validated assessment tools for depression, anxiety, and sleep disorders, reporting prevalence rates, and encompassing patients of all age groups and geographical regions for subgroup analysis Random effects model was utilized for the meta-analysis. Meta-regression analysis was done. RESULTS: The pooled prevalence of depression and anxiety among patients coping with Post COVID-19 syndrome was estimated to be 23% (95% CI: 20%-26%; I2 = 99.9%) based on data from 143 studies with 7,782,124 participants and 132 studies with 9,320,687 participants, respectively. The pooled prevalence of sleep disorder among these patients, derived from 27 studies with 15,362 participants, was estimated to be 45% (95% CI: 37%-53%; I2 = 98.7%). Subgroup analyses based on geographical regions and assessment scales revealed significant variations in prevalence rates. Meta-regression analysis showed significant correlations between the prevalence and total sample size of studies, the age of participants, and the percentage of male participants. Publication bias was assessed using Doi plot visualization and the Peters test, revealing a potential source of publication bias for depression (p = 0.0085) and sleep disorder (p = 0.02). However, no evidence of publication bias was found for anxiety (p = 0.11). CONCLUSION: This systematic review and meta-analysis demonstrate a considerable burden of mental health issues, including depression, anxiety, and sleep disorders, among individuals recovering from COVID-19. The findings emphasize the need for comprehensive mental health support and tailored interventions for patients experiencing persistent symptoms after COVID-19 recovery.

Brain-derived neurotrophic factor (BDNF) levels in panic disorder: A systematic review and meta-analysis.

BACKGROUND: The existing literature on the association between brain-derived neurotrophic factor (BDNF) protein levels and panic disorder presents inconsistent findings. This systematic review and meta-analysis aim to synthesize the available evidence and determine the overall effect of BDNF protein levels in individuals diagnosed with panic disorder. METHODS: A comprehensive literature search was conducted using electronic databases (PubMed, Embase, Scopus, PsycINFO, and Web of Science) from inception to April 21, 2023. The search strategy included relevant keywords and medical subject headings terms related to BDNF, panic disorder, and protein levels. A random-effects model was used for the meta-analysis, and subgroup analyses were performed to explore heterogeneity. Publication bias was assessed using funnel plots and statistical tests. RESULTS: A total of 12 studies met the inclusion criteria. The meta-analysis demonstrated a significant decrease in BDNF protein levels in individuals with panic disorder (SMD = -.53, 95% CI: -1.02 to -.04, p < .001; I2 : 92%). The results of subgroup and meta-regression analyses were not statistically significant. No significant publication bias was observed based on the results of Egger's regression test (p-value = .3550). CONCLUSION: This systematic review and meta-analysis provide evidence of lower BDNF protein levels in individuals diagnosed with panic disorder compared to healthy controls. The findings suggest a potential role for BDNF dysregulation in the pathophysiology of panic disorder. Further research is warranted to elucidate the underlying mechanisms and potential therapeutic implications.

Effect of cannabis use on blood levels of brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF): A systematic review and meta-analysis.

BACKGROUND: The impact of cannabis uses on blood levels of brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF) remains uncertain, with conflicting findings reported in the literature. BDNF and NGF both are essential proteins for neuron's growth, and their dysregulation is seen in various mental disorders. This study aims to evaluate the relationship between cannabis usage and BDNF and NGF levels due to their potential implications for mental health. METHODS: A comprehensive search of electronic databases was performed using appropriate MeSH terms and keywords. Inclusion criteria comprised human studies investigating the relationship between cannabis use and BDNF and NGF levels. RESULTS: A total of 11 studies met the inclusion criteria and were included. The pooled analysis revealed a nonsignificant association between cannabis use and dysregulated blood levels of BDNF (random-effects model, standardized mean differences [SMD] = .26, 95% CI -.34 to .76, p = .40). The results of our subgroup analysis based on BDNF source showed a nonsignificant between-group difference. For NGF levels, four studies were included, the pooled analysis revealed a nonsignificant association between cannabis use and dysregulated blood levels of NGF (random-effects model, SMD = -.60, 95% CI -1.43 to -.23, p = .16). In both analyses, high heterogeneity was observed among the included studies which is a notable limitation to current meta-analysis. CONCLUSION: This systematic review highlights the need for further research to elucidate the relationship between cannabis use and these neurotrophic factors. A better understanding of these associations can contribute to our knowledge of the neurobiological effects of cannabis and inform potential implications for mental health, cognitive function, and neurodegenerative disorders.

The prevalence of sleep disturbance and its possible associated factors among iranian medical students: A cross-sectional study with a national meta-analysis.

Background: The aim of this cross-sectional study was to investigate the prevalence of sleep disturbance and its possible associated factors among Iranian medical students. Additionally, a national meta-analysis was conducted to provide a comprehensive overview of sleep disturbance in this population. Methods: A sample of medical students from Guilan University of Medical Sciences, Iran was included in the study. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep disturbance. Demographic and lifestyle factors, as well as academic performance, were collected through a self-administered questionnaire. The data collected from this study were combined with existing studies through a meta-analysis to estimate the overall prevalence of sleep disturbance among Iranian medical students using the random effects model. Results: A total of 249 medical students participated in the study. The prevalence of sleep disturbance among Guilan University of Medical Sciences medical students was found to be 71.1%. A significant difference was observed in total PSQI means regarding medical students' residency (p < 0.001) and their duration of sleep in the last 24 h (p = 0.006). The national prevalence of sleep disturbances was 59% (95% CI: [51%-66%], I2 = 97%). Conclusion: Sleep disturbance is highly prevalent among Iranian medical students, with various factors contributing to its occurrence. The findings of this study highlight the need for interventions and strategies to improve sleep quality and overall well-being among this population. The national meta-analysis provides valuable insights into the overall burden of sleep disturbance among Iranian medical students and can serve as a reference for future studies and public health initiatives targeting this issue.

The effect of psychedelics on the level of brain-derived neurotrophic factor: A systematic review and meta-analysis.

BACKGROUND: Recent interest in the potential therapeutic effects of psychedelics has led to investigations into their influence on molecular signaling pathways within the brain. AIMS: Integrated review and analysis of different studies in this field. METHODS: A systematic search was conducted across international databases including Embase, Scopus, Web of Science, and PubMed from inception to 9 July 2023. Eligibility criteria encompassed published and peer-reviewed studies evaluating changes in brain-derived neurotrophic factor (BDNF) levels after psychedelic consumption. OUTCOMES: A total of nine studies were included in our study. The meta-analysis demonstrated significantly higher BDNF levels in psychedelic consumers compared to healthy controls, with a pooled standardized mean difference of 0.26 (95% CI: 0.10-0.42, I2 = 38.51%, p < 0.001). Leave-one-out analysis indicated robustness in results upon removal of individual psychedelics. No significant publication bias was observed. The results highlight the potential influence of psychedelics on neuroplasticity by altering BDNF levels. CONCLUSIONS: More precisely, the documented rise in BDNF levels indicates a neurobiological mechanism by which psychedelics could enhance synaptic plasticity and foster the growth of neurons. Given the limited data available on this topic, the conclusions remain uncertain. Consequently, we highly recommend additional research with more extensive sample sizes to yield more reliable evidence in this field.

Effect of smoking on Brain-Derived Neurotrophic Factor (BDNF) blood levels: A systematic review and meta-analysis.

BACKGROUND: Brain-Derived Neurotrophic Factor (BDNF) is a neurotrophin that plays a crucial role in neuronal survival and plasticity. Previous studies have suggested that smoking may influence BDNF levels, but the findings have been inconsistent. METHODS: A comprehensive search of electronic databases was conducted to identify relevant studies. Inclusion criteria were applied to select studies that investigated the relationship between smoking and blood levels of BDNF. A random-effects model was used to estimate the overall effect size. RESULTS: A total of 23 studies were included. The meta-analysis revealed a significant association between smoking and increased blood levels of BDNF (standardized mean difference [SMD] = -0.38, 95 % confidence interval [CI] 0.15 to 0.62, p = 0.002). Subgroup analyses based on BDNF source showed a significant increase in plasma-derived BDNF levels (SMD = 1.02, 95 % CI 0.50 to 1.53, p = 0.0001), while no significant difference was observed in serum-derived BDNF levels (SMD = 0.02, 95 % CI -0.19 to 0.22, p = 0.87). The pooled analysis revealed a non-significant difference in blood levels of BDNF between former smokers and non-smokers (random-effects model, SMD = 0.21, 95 % CI -0.04 to 0.46, p = 0.1). CONCLUSION: Smokers exhibited significantly higher plasma levels of BDNF compared to non-smokers. Further research is needed to elucidate the underlying mechanisms and explore the potential therapeutic implications of targeting BDNF in smoking.

Brain-derived neurotrophic factor (BDNF) as a potential marker of endometriosis: a systematic review and meta-analysis.

BACKGROUND: The existing literature on the association between BDNF protein levels and endometriosis presents inconsistent findings. This systematic review and meta-analysis aim to synthesize the available evidence and evaluate the possible relationship between BDNF protein levels and endometriosis. METHODS: Electronic databases (PubMed, Embase, Scopus, PsycINFO, and Web of Science) were used to conduct a comprehensive literature search from inception to June 2023. The search strategy included relevant keywords and medical subject headings (MeSH) terms related to BDNF, endometriosis, and protein levels. A random-effects model was used for the meta-analysis, and to explore heterogeneity subgroup analyses were performed. funnel plots and statistical tests were used for assessing the publication bias. RESULTS: A total of 12 studies were included. The pooled standardized mean difference (SMD) of BDNF levels between women with endometriosis and controls was 0.87 (95% confidence interval [CI] 0.34 to 1.39, p = 0.001; I2 = 93%). The results showed that blood levels of BDNF are significantly higher in endometriosis patients (SMD: 1.13 95% CI 0.54 to 1.73, p = 0.0002; I2 = 93%). No significant publication bias was observed based on the results of Egger's regression test ((p = 0.15). CONCLUSION: This study revealed a significant difference between patients diagnosed with endometriosis and healthy control in the level of BDNF. The results indicate that women with endometriosis have higher levels of BDNF. Further studies are needed to be undertaken to investigate the role of BDNF in endometriosis pathophysiology and the diagnostic value of BDNF in endometriosis.

The effect of COVID-19 and COVID-19 vaccination on serum anti-Mullerian hormone: A systematic review and meta-analysis.

OBJECTIVE: The current study aims to evaluate the impact of COVID-19 infection and vaccination on ovarian reserve by detecting the anti-Mullerian hormone (AMH) level. METHOD: PubMed, Embase, Web of Science, and Scopus has been searched for studies assessing the effect of COVID-19 infection and/or vaccination on AMH levels up to February 27, 2023. Based on PRISMA 2020 statement criteria, a systematic review and meta-analysis of included studies were performed. The studies' quality was assessed by the National Institute of Health (NIH) quality assessment tool. The standardized mean difference (MD) of the AMH level was used and the quantitative values of each study were pooled separately by using a random effect model. RESULTS: Out of 246 studies screened, 18 were included in the systematic review and 14 in the meta-analysis. Included studies were published between 2021 and 2022 and were conducted in different countries, including the USA (n = 3), China (n = 2), Russia (n = 2), Turkey (n = 5), Israel (n = 3), Czech (n = 2), and Spain (n = 1). Eight studies investigated the effect of SARS-CoV-2 infection on AMH levels, and ten studies investigated the possible effect of COVID-19 vaccination on AMH levels. The pooled analysis showed a statistically significant decrease in AMH levels after COVID-19 infection (SMD: -0.24; 95% CI: -0.36 to -0.11; I2 = 0%; p = .0003). Vaccination analysis showed a nonstatistically significant change in AMH levels after COVID-19 vaccination (SMD: -0.11; 95% CI: -0.25 to 0.04; I2 = 35%; p = .14). CONCLUSION: COVID-19 infection can result in ovarian reserve injury by reducing the AMH level but getting vaccinated against COVID-19 has no impact on the AMH level.

Adjunctive antidepressants for the treatment of bipolar depression: An updated meta-analysis of randomized clinical trials.

This updated meta-analysis aims to evaluate the efficacy of adjunctive antidepressants in the treatment of bipolar depression. The antidepressant group exhibited a significant increase in response rate (RR: 1.12; 95 % CI 1.01-1.25; p = 0.04; I2 =55 %). The pooled results demonstrated a significant increase in response rate in the antidepressant group (RR: 1.12 95 % CI 1.01-1.25, p = 0.04; I2 =55 %). Depression score was significantly lower in the antidepressant group (SMD: -0.20 95 % CI -0.31 to -0.09, p < 0.001; I2 =14 %). Egger's regression test and funnel plot inspection did not suggest publication bias. Adjunctive antidepressants appear to enhance response rates and reduce depressive scores in bipolar depression, though potential biases and study heterogeneity warrant future randomized trials on this topic.

The effect of COVID-19 on Multiple Sclerosis relapse: A systematic review and meta-analysis.

BACKGROUND: Multiple Sclerosis (MS) is a chronic autoimmune disease, affecting over 2.5 million people worldwide. There has been growing concern about the impact of COVID-19 on the clinical course of MS. However, these findings remain controversial, and there is a lack of high-quality evidence to establish the relationship between COVID-19 and MS. METHODS: A comprehensive search was done to identify relevant studies reporting relapse rate in patients with MS (pwMS), those comparing the relapse rate of COVID-19 pwMS and MS controls, and studies investigating the effect of COVID-19 on relapse rate of pwMS. The results were presented as proportion of COVID-19 pwMS experiencing relapse and odds ratio determining the impact of COVID-19 on relapse rate. RESULTS: Fourteen studies were included in the analyses. The proportion of COVID-19 positive pwMS with relapse was 7.71 per 100 cases (95 % confidence interval, CI: 4.41-13.89, I2=96 %). Quantitative evaluation of studies with pwMS without COVID-19 did not demonstrate a statistically significant difference in relapse rate of patients with COVID-19 (OR: 0.75, 95 %CI: 0.44-1.29, I2= 54 %). Subgroup and sensitivity analyses did not alter the lack of significance of association between COVID-19 and MS relapse. Sensitivity analysis excluding the outlying study was largely in favor of no difference between the groups (OR:1.00, 95 %CI: 0.72-1.38, I2=34 %) CONCLUSION: The results of this review does not suggest that COVID-19 influences the relapse rate in pwMS. While the findings alleviate the concerns regarding the co-occurrence of the diseases, further studies are needed to investigate the effects of confounding factors.

Neurological complications after COVID-19: A narrative review.

COVID-19 is primarily classified as a respiratory disorder; however, various neurological symptoms have been reported in COVID-19 patients. Neurological manifestations may be the initial signs of COVID-19 and can develop in patients of different age groups and with or without underlying disease. COVID-19 causes a broad range of complications in the central nervous system. These include headaches, altered mental status, dizziness, seizures, cerebrovascular events, encephalitis, and other encephalopathies. Moreover, a broad spectrum of peripheral nervous system symptoms such as olfactory and gustatory dysfunctions, neuropathy, visual impairments, neuralgia, cranial nerves palsy, and muscle involvement could manifest as symptoms. Despite various efforts, the exact pathogenesis of the COVID-19 neurological complications has not been clarified yet. Moreover, the reason for the development of neurological manifestation in only some COVID-19 patients has not been determined. This review focuses on the different neurological symptoms associated with COVID-19 and the possible pathological mechanisms hoping to provide new insights for diagnosis, therapies, or other forms of intervention.

Investigating oral health among US adults with sleep disorder: a cross-sectional study.

BACKGROUND: This study aims to investigate the relationship between sleep disorders and oral health outcomes among a representative sample of the United States population. METHODS: The study sample comprised 6,161 participants who participated in the NHANES 2017-2018, representing a population of 255,939,599. Oral health outcomes were assessed using the Oral Health Questionnaire (OHQ), covering dental pain, periodontal disease, bone loss, emotional perceptions of oral health, and impact on daily life. Sleep disorders were evaluated using questions related to sleep trouble and daytime sleepiness. RESULTS: Analysis of the NHANES 2017-2018 dataset, revealed notable associations between sleep disorders and oral health outcomes. Individuals with sleep disorders were more likely to report dental pain (19.79% vs. 11.8%), periodontal issues (19.5% vs. 12.25%), and feeling bad or embarrassed about their oral health (21% vs. 12%), compared to those without sleep disorders. Difficulty due to oral health issues was also more prevalent among participants with sleep disorders (32.6% vs. 12.9%). Adjusted models demonstrated that individuals with sleep disorders had a significantly higher likelihood of experiencing oral aches [adjusted odds ratio (aOR) = 1.58 (1.22-2.22)], reporting negative emotions about oral health [aOR = 1.59 (1.06-2.37)], and encountering challenges in school or job performance [aOR = 2.27 (1.47-3.51)], compared to individuals without sleep disorders (refer to Table 3). Other significant covariates affecting oral health outcomes included smoking, income, and education level. CONCLUSIONS: This study reveals a compelling association between sleep disorders and adverse oral health outcomes in the U.S.

Association between opioid abuse and COVID-19 susceptibility: a propensity score matched study.

BACKGROUND: Opioid use disorder (OUD) has been associated with adverse health outcomes, and its potential impact on COVID-19 outcomes is of significant concern. This study aimed to assess the susceptibility and clinical outcomes of hospitalized COVID-19 patients with OUD using a propensity score-matched design. METHODS: A historical cohort study was conducted in Alborz province, Iran, during the early months of the COVID-19 pandemic. Patients aged 18 years and above with confirmed COVID-19 were included in the study. OUD was defined as a compulsive urge to use opioids or opioid-derivative drugs. Non-opioid abusers with COVID-19 were selected as the control group. Data on demographics, clinical characteristics, laboratory factors, comorbidities, and vital signs were collected. Propensity score matching (PSM) was used to balance the groups and assess the impact of OUD on ICU admission, mortality, the need for intubation, and the severity of pulmonary involvement on CT scans. RESULTS: A total of 442 patients were included in the study, with 351 discharged and 34 deceased. The PSM analysis showed that OUD was not significantly associated with ICU admission (OR: 1.87, 95% CI: 0.22-2.91, p = 0.631). However, opium users had an increased risk of mortality (OR: 2.38, 95% CI: 1.30-4.35, p = 0.005) and a higher likelihood of requiring intubation (OR: 3.57, 95% CI: 1.38-9.39, p = 0.009) compared to non-opioid abusers. The severity of pulmonary involvement on CT scans did not show a significant association with OUD. CONCLUSION: OUD among hospitalized COVID-19 patients was associated with an increased risk of mortality and the need for intubation. These findings highlight the importance of addressing OUD as a potential risk factor in the management and treatment of COVID-19 patients. Further research is warranted to explore the underlying mechanisms and develop appropriate interventions to mitigate the impact of OUD on COVID-19 outcomes.

Pharmacogenetic Approach for the Prevention of Rivaroxaban's ADRs: A Systematic Review and Meta-Analysis.

Introduction: Pharmacogenetics is a potential approach that can be applied to decline the burden of rivaroxaban's ADRs. The current systematic review and meta-analysis aim to identify genetic variants correlated with rivaroxaban exposure and evaluate their importance. Methods: We systematically searched PubMed, Web of Science, and Scopus databases for all observational and interventional studies. The fixed effect method was used to pool the data when the Q-test's p value was higher than 0.1. We used random models when the p value was less than 0.1. Results: Data from ten studies (4721 participants) were analyzed in the current review. Qualitative synthesis from included studies found that two variants of ABCB1 (rs1045642 and rs2032582) and one variant of APOB (rs13306198) are potential contributors to rivaroxaban concentrations. Both wild homozygotes (AA) and heterozygotes (AC) of rs1045642 have significantly lower rivaroxaban concentrations compared to mutated homozygotes (CC) (SMD = 0.516, 95% CI: 0.115 to 0.917; SMD = 0.772, 95% CI: 0.088 to 1.455, respectively). Nevertheless, pooling unadjusted odds ratios did not yield a statistically significant correlation between rivaroxaban ADRs and genetic mutations. Conclusion: This study revealed that being an AC or CC for rs1045642 is attributed to a considerably higher rivaroxaban level in participants using rivaroxaban. That is to say, rs1045642 is a remarkable predictor of rivaroxaban metabolism. We concluded that identifying rs1045642 before drug administration might decrease ADRs although further studies adjusted for potential confounders are strongly suggested.