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.

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.

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.

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.

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.

Diagnostic value of neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio to predict recurrent pregnancy loss and abortion; a systematic review and meta-analysis.

OBJECTIVE: This systematic review and meta-analysis aimed to evaluate the diagnostic value of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in women with a history of abortion (missed and threatened) and recurrent pregnancy loss (RPL) in comparison with healthy pregnancies. METHODS: Electronic databases including MEDLINE, Scopus, Web of Science, Embase, and Cochrane Library were searched for NLR and PLR in women who experienced early pregnancy loss up to January 1, 2023 with a combination of proper keywords. Meta-analysis was done for comparison with three or more studies and summary estimates were measured. RESULTS: A total of 390 citations were retrieved initially, and after screening, 16 articles were deemed eligible for the final review. Among these, 14 studies underwent meta-analysis. The meta-analysis revealed that the standard mean of the NLR was significantly higher in abortion cases compared to the control group. However, there was no significant difference in the PLR between the pregnancy loss group and the control group. CONCLUSION: NLR was significantly higher among RPL patients compared to the control group, according to these data, NLR may be capable of being used in the diagnosis of RPL as an easy, cheap, and accessible modality. Further studies, which take these variables into account, will need to be undertaken to determine the diagnostic value of NLR and PLR in early pregnancy loss.

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 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.

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.

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.

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.

Brain-derived neurotrophic factor levels in perinatal depression: A systematic review and meta-analysis.

BACKGROUND: This systematic review and meta-analysis aim to synthesize the available evidence and determine the overall brain-derived neurotrophic factor (BDNF) levels in individuals diagnosed with perinatal depression (PND). METHODS: We performed a thorough search of electronic databases, including PubMed, Embase, PsycINFO, and Web of Science, from their start until April 30, 2023. Our search strategy involved using specific keywords and medical subject headings (MeSH) terms related to BDNF, perinatal, post-partum, and antepartum depression. In the meta-analysis, we employed a random-effects model, and subgroup analyses were conducted to investigate any variations in the results. RESULTS: A total of 15 studies met the inclusion criteria, of which 10 were used in the quantitative analysis. The meta-analysis demonstrated a significant decrease in BDNF levels in both individuals with antepartum depression (SMD: -0.31; 95% CI: -0.48 to -0.13; p-value = 0.0008; I2 = 71%), and post-partum depression (SMD: -0.61; 95% CI: -0.99 to -0.22; p-value = 0.0002 I2 = 77%). Furthermore, a significantly higher rate of PND among individuals in the lowest BDNF quartile (OR: 2.64; 95% CI: 1.01 to 6.89; p-value = 0.05; I2 = 90%) was seen. The results of subgroup analyses showed a statistically significant effect of the depression assessment tool on overall heterogeneity between studies. CONCLUSION: This systematic review and meta-analysis provide evidence of lower BDNF protein levels in individuals diagnosed with PND. The results indicate that BDNF dysregulation may play a part in the development of PND. More research is needed to understand the mechanisms behind this and explore potential therapeutic applications.

Efficacy and safety of sodium-glucose cotransporter-2 inhibitors for heart failure with mildly reduced or preserved ejection fraction: a systematic review and meta-analysis of randomized controlled trials.

Aims: We sought to conduct a meta-analysis to evaluate the efficacy and safety of sodium-glucose cotransporter-2 inhibitors (SGLT2i) in patients with heart failure (HF) with preserved ejection fraction (HFpEF) and HF with mildly reduced ejection fraction (HFmrEF). Methods: We searched the Cochrane Library, MEDLINE (via PubMed), Embase, and ClinicalTrials.gov till March 2023 to retrieve all randomized controlled trials of SGLT2i in patients with HFpEF or HFmrEF. Risk ratios (RRs) and standardized mean differences (SMDs) with their 95% confidence intervals (95% CIs) were pooled using a random-effects model. Results: We included data from 14 RCTs. SGLT2i reduced the risk of the primary composite endpoint of first HF hospitalization or cardiovascular death (RR 0.81, 95% CI: 0.76, 0.87; I2 = 0%); these results were consistent across the cohorts of HFmrEF and HFpEF patients. There was no significant decrease in the risk of cardiovascular death (RR 0.96, 95% CI: 0.82, 1.13; I2 = 36%) and all-cause mortality (RR 0.97, 95% CI: 0.89, 1.05; I2 = 0%). There was a significant improvement in the quality of life in the SGLT2i group (SMD 0.13, 95% CI: 0.06, 0.20; I2 = 51%). Conclusion: The use of SGLT2i is associated with a lower risk of the primary composite outcome and a higher quality of life among HFpEF/HFmrEF patients. However, further research involving more extended follow-up periods is required to draw a comprehensive conclusion. Systematic Review Registration: PROSPERO (CRD42022364223).

Impact of Survivin rs9904341 and rs17878467 Polymorphisms On Risk of Preeclampsia in Iran.

Preeclampsia (PE) is a hypertensive disorder that affects pregnancy, mother, and fetus. Early diagnosis of PE remains a challenge. This study aimed to investigate the association between survivin two (rs9904341 and rs17878467) SNPs and PE risk in healthy pregnant women compared to women with preeclampsia. A sample of 166 healthy pregnant women and 160 cases with preeclampsia was included and genotyped for rs9904341 with polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and rs17878467 with amplification-refractory mutation system (ARMS) PCR. The genotypic and allelic assessments were performed using various statistical approaches. The frequency of rs9904341 and rs17878467 polymorphisms was not significantly different between PE and healthy pregnant women. rs9904341: codominant (p = 0.5), dominant (p = 0.24), recessive (p = 0.61), over-dominant model (p = 0.38), and log additive (p = 0.25). rs17878467: codominant (p = 0.41), dominant (p = 0.23), recessive (p = 0.4), over-dominant model (p = 0.42), and log additive (p = 0.24). The frequency of survivin rs9904341 CG and CC genotypes was higher in severe PE women compared to controls and this polymorphism was associated with PE severity only in the dominant model (OR = 1.84, CI 1.04-3.26, P = 0.034). There was a significant association between survivin rs9904341 polymorphism and PE severity. No relationship was found between survivin rs9904341 and rs17878467 polymorphisms and PE onset. The allelic and genotypic frequencies of survivin rs9904341 and rs17878467 polymorphisms are not significantly different between the preeclampsia and control groups in all genetic models. Haplotype analysis showed lower frequency G rs9904341 T rs17878467 haplotype in PE woman and this haplotype was associated with lower risk of PE (OR = 0.54, CI 0.33-0.91, P = 0.02).

Sleep disturbance increases the risk of severity and acquisition of COVID-19: a systematic review and meta-analysis.

BACKGROUND: Understanding the association between sleep quality and COVID-19 outcomes is crucial for effective preventive strategies and patient management. This systematic review aims to evaluate the impact of sleep quality as a risk factor for acquiring COVID-19 infection and the severity of the disease. METHODS: A comprehensive search of electronic databases was conducted to identify relevant studies published from the inception of the COVID-19 pandemic which was 31st of December 2019 until 30 April 2023. Studies investigating the relationship between sleep quality and COVID-19 infection, or disease severity were included. Random effect meta-analysis was performed with odds ratios (OR) and their 95% confidence intervals (95% CI) as effect measures. RESULTS: Out of the initial 1,132 articles identified, 12 studies met the inclusion criteria. All studies were observational studies (cohort, case-control, and cross-sectional). The association between sleep quality and COVID-19 infection risk was examined in 6 studies, The results of our meta-analysis showed that participants with poor sleep quality showed a 16% increase regarding the risk of COVID-19 acquisition (OR 1.16; 95% CI 1.03, 1.32; I2 = 65.2%, p = 0.02). Our results showed that participants with poor sleep quality showed a 51% increase in the incidence of primary composite outcome (OR 1.51; 95% CI 1.25, 1.81; I2 = 57.85%, p < 0.001). The result of our subgroup analysis also showed significantly increased risk of mortality (RR 0.67; 95% CI 0.50, 0.90; I2 = 31%, p = 0.008), and disease severity (OR 1.47; 95% CI 1.19, 1.80; I2 = 3.21%, p < 0.001) when comparing poor sleep group to those with good sleep quality. CONCLUSION: This study highlights a significant association between poor sleep quality and an increased risk of COVID-19 infection as well as worse disease clinical outcomes.

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

Brain-Derived Neurotrophic Factor (BDNF) is a vital protein involved in neuronal development, survival, and plasticity. Alcohol consumption has been implicated in various neurocognitive deficits and neurodegenerative disorders. However, the impact of alcohol on BDNF blood levels remains unclear. This systematic review and meta-analysis aimed to investigate the effect of alcohol consumption on BDNF blood levels. A comprehensive search of electronic databases was conducted to identify relevant studies. Eligible studies were selected based on predefined inclusion criteria. Data extraction was performed, and methodological quality was assessed using appropriate tools. A meta-analysis was conducted to estimate the overall effect size of alcohol consumption on BDNF levels. A total of 25 studies met the inclusion criteria and were included in the final analysis. Alcohol use and BDNF blood levels were significantly correlated, according to the meta-analysis (p = 0.008). Overall, it was discovered that drinking alcohol significantly decreased BDNF levels (SMD: - 0.39; 95% CI: - 0.68 to - 0.10; I2: 93%). There was a non-significant trend suggesting that alcohol withdrawal might increase BDNF levels, with an SMD of 0.26 (95% CI: - 0.09 to 0.62; I2: 86%; p = 0.14). Subgroup analysis based on the source of BDNF demonstrated significant differences between the subgroups (p = 0.0008). No significant publication bias was observed. This study showed that alcohol consumption is associated with a significant decrease in BDNF blood levels. The findings suggest a negative impact of alcohol on BDNF levels regardless of alcohol dosage. Further studies are needed to strengthen the evidence and elucidate the underlying mechanisms.

Extracorporeal cardiopulmonary resuscitation for out-of-hospital cardiac arrest: A meta-analysis of randomized controlled trials.

INTRODUCTION: Extracorporeal cardiopulmonary resuscitation (ECPR) is a resuscitation method for patients with refractory out-of-hospital cardiac arrest (OHCA). However, evidence from randomized controlled trials (RCTs) is lacking. METHODS: We searched several electronic databases until March 2023 for RCTs comparing ECPR with conventional CPR in OHCA patients. RevMan 5.4 was used to pool risk ratios (RR) with 95% confidence intervals (CIs). RESULTS: A total of four RCTs were included. The results of our meta-analysis showed no statistically significant benefit of ECPR regarding mid-term survival (RR 1.21; 95% CI 0.64 to 2.28; I2 = 48%; p = .55). We found a significant improvement with ECPR in mid-term favorable neurological outcome (RR 1.59; 95% CI 1.09 to 2.33; I2 = 0%; p = .02). There was no significant difference between ECPR and conventional CPR in long-term survival (RR 1.32; 95% CI 0.18 to 9.50; I2 = 64%; p = .79), and long-term favorable neurological outcome (RR 1.47; 95% CI 0.89 to 2.43; I2 = 25%; p = .13). There was an increased incidence of adverse events in the ECPR group (RR 3.22; 95% CI 1.18 to 8.80; I2 = 63%; p = .02). CONCLUSION: ECPR in OHCA patients was not associated with improved survival or long-term favorable neurological outcome but did improve favorable neurological outcome in the mid-term. However, these results are likely underpowered due to the small number of available RCTs. Large-scale confirmatory RCTs are needed to provide definitive conclusions.