Depression after traumatic brain injury: A systematic review and Meta-analysis.

BACKGROUND: Traumatic brain injury (TBI) afflicts 69 million individuals annually, resulting in numerous neuropsychiatric sequelae. Here, we investigate the possible relation between TBI and depression. METHODS: an online database search of Pubmed, Scopus, and Web of Science was conducted on November 3rd, 2023 for observational studies investigating post-TBI depressive symptoms incidence or comparing the prevalence of depressive symptoms between TBI and non-TBI individuals. RESULTS: a total of 43 studies were included in our review, 15 of which reported novel cases of depressive symptomology post-TBI and 34 of which compared depressive symptoms in TBI participants with non-TBI participants. Our meta-analysis showed an incidence of 13 % among 724,842 TBI participants, and a relative risk of 2.10 when comparing 106,083 TBI patients to 323,666 non-TBI controls. 11 of the 43 included studies were deemed as having a high risk of bias. Sensitivity analysis showed our findings to be robust and no publication bias was detected using Egger's regression test. CONCLUSION: Individuals suffering from TBI are almost twice as likely to develop depressive symptomology compared to non-TBI individuals.

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.

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.

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 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.

Prediction of post-delivery hemoglobin levels with machine learning algorithms.

Predicting postpartum hemorrhage (PPH) before delivery is crucial for enhancing patient outcomes, enabling timely transfer and implementation of prophylactic therapies. We attempted to utilize machine learning (ML) using basic pre-labor clinical data and laboratory measurements to predict postpartum Hemoglobin (Hb) in non-complicated singleton pregnancies. The local databases of two academic care centers on patient delivery were incorporated into the current study. Patients with preexisting coagulopathy, traumatic cases, and allogenic blood transfusion were excluded from all analyses. The association of pre-delivery variables with 24-h post-delivery hemoglobin level was evaluated using feature selection with Elastic Net regression and Random Forest algorithms. A suite of ML algorithms was employed to predict post-delivery Hb levels. Out of 2051 pregnant women, 1974 were included in the final analysis. After data pre-processing and redundant variable removal, the top predictors selected via feature selection for predicting post-delivery Hb were parity (B: 0.09 [0.05-0.12]), gestational age, pre-delivery hemoglobin (B:0.83 [0.80-0.85]) and fibrinogen levels (B:0.01 [0.01-0.01]), and pre-labor platelet count (B*1000: 0.77 [0.30-1.23]). Among the trained algorithms, artificial neural network provided the most accurate model (Root mean squared error: 0.62), which was subsequently deployed as a web-based calculator: https://predictivecalculators.shinyapps.io/ANN-HB . The current study shows that ML models could be utilized as accurate predictors of indirect measures of PPH and can be readily incorporated into healthcare systems. Further studies with heterogenous population-based samples may further improve the generalizability of these models.

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.

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.

Association of oxytocin augmentation with postpartum hemorrhage: a systematic review and meta-analysis.

OBJECTIVE: The current study aims to evaluate the correlation between oxytocin augmentation and postpartum hemorrhage. METHOD: PubMed, Web of Science, and Scopus has been searched for studies assessing the correlation between oxytocin augmentation and postpartum hemorrhage up to January 24, 2024. The search strategy included relevant keywords related to PPH and oxytocin augmentation. The risk of bias assessment was conducted by two reviewers using the Newcastle-Ottawa Scale (NOS). To pool the effects sized of included studies odds ratios (OR) of interest outcome with their 95% confidence interval (CI) were used. RESULTS: Eight studies were included in this meta-analysis. The pooled analysis of the included studies showed a statistically significant association between oxytocin augmentation and increased odds of PPH (pooled odds ratio [OR] = 1.27, 95% confidence interval [CI]: 1.05-1.53; I2 = 84.94%; p = 0.01). Publication bias was assessed using funnel plots, which appeared relatively asymmetrical, indicating significant publication bias. Galbraith plot and trim and fill plot were used for publication bias. Sensitivity analyses were performed by leave one out method. CONCLUSION: This meta-analysis suggests that using oxytocin for labor augmentation is linked to a significant increase in the risk of PPH. It highlights the need for careful monitoring and consideration when using oxytocin, especially in low and middle-income countries where guidelines and supervision are crucial.

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.

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.

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 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) 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.

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.

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.

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.

Evaluation of the Effect of Low-dose Aspirin on the Prevention of Preterm Delivery in Women with a History of Spontaneous Preterm Delivery.

OBJECTIVE: Currently, uteroplacental vascular disorders are considered one of the main mechanisms of spontaneous preterm delivery (PTD). Low-dose aspirin is used to prevent pre-eclampsia, which has a similar mechanism; hence, the present study aimed to investigate the effect of low-dose aspirin on the prevention of PTD in women with a history of spontaneous PTD. METHODS: The present pilot randomized clinical trial was conducted on 54 pregnant women in the aspirin group (taking 80 mg daily until the 36th week and classic treatment) and 53 patients in the control group (only receiving classic treatment). RESULTS: Forty-three patients (40%) presented before 37 weeks due to symptoms of PTL. Preterm delivery (< 37 weeks) occurred in 28 patients (26%), and there was no significant difference between the aspirin and control groups (10 patients [19%] and 18 patients [34%], respectively; p = 0.069). The time of preterm delivery was early (< 34 weeks) in 6 patients (21%), and its cause was spontaneous labor in 23 patients (82%) which was not significantly different between the two groups (p > 0.05). Out of 40 patients with spontaneous labor, 25 patients (63%) had a PTD, which was significantly lower in the aspirin group than in the control group (9 patients [45%] versus 16 patients [80%], respectively; p = 0.022). CONCLUSION: The findings of the present study demonstrated that despite the reduction in the incidence of PTD using low-dose aspirin, the reduction rate was not statistically significant. On the other hand, in patients with spontaneous labor prone to PTD, aspirin was effective in reducing the incidence of PTD.

OBJETIVO: Atualmente, os distúrbios vasculares uteroplacentários são considerados um dos principais mecanismos de parto prematuro espontâneo (PTD). A aspirina em baixa dose é usada para prevenir a pré-eclâmpsia, que tem um mecanismo semelhante; portanto, o presente estudo teve como objetivo investigar o efeito da aspirina em baixa dosagem na prevenção de PTD em mulheres com história de PTD espontâneo. MéTODOS: O presente ensaio clínico piloto randomizado foi realizado em 54 gestantes do grupo aspirina (tomando 80 mg diários até a 36ª semana e tratamento clássico) e 53 pacientes do grupo controle (somente tratamento clássico). RESULTADOS: Quarenta e três pacientes (40%) apresentaram-se antes de 37 semanas devido a sintomas de PTL. O parto prematuro (< 37 semanas) ocorreu em 28 pacientes (26%) e não houve diferença significativa entre os grupos aspirina e controle (10 pacientes [19%] e 18 pacientes [34%], respectivamente; p = 0,069). O tempo de parto prematuro foi precoce (< 34 semanas) em 6 pacientes (21%) e sua causa foi trabalho de parto espontâneo em 23 pacientes (82%) que não foi significativamente diferente entre os dois grupos (p > 0,05). Das 40 pacientes com trabalho de parto espontâneo, 25 pacientes (63%) tiveram PTD, que foi significativamente menor no grupo aspirina do que no grupo controle (9 pacientes [45%] versus 16 pacientes [80%], respectivamente; p = 0,022). CONCLUSãO: Os achados do presente estudo demonstraram que, apesar da redução na incidência de DPT com o uso de aspirina em baixa dosagem, a taxa de redução não foi estatisticamente significativa. Por outro lado, em pacientes com trabalho de parto espontâneo propensas a PTD, a aspirina foi eficaz na redução da incidência de PTD.