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Schizophrenia (Heidelberg, Germany) Dec 2023Response to antipsychotic medications (AP) is subjected to a wide and unpredictable variability and efforts were directed to discover predictive biomarkers to... (Review)
Review
Response to antipsychotic medications (AP) is subjected to a wide and unpredictable variability and efforts were directed to discover predictive biomarkers to personalize treatment. Electroencephalography abnormalities in subjects with schizophrenia are well established, as well as a pattern of EEG changes induced by APs. The aim of this review is to provide a synthesis of the EEG features that are related to AP efficacy, including both pre-treatment signatures and changes induced by APs during treatment. A systematic review of English articles using PubMed, PsychINFO and the Cochrane database of systematic reviews was undertaken until july 2023. Additional studies were added by hand search. Studies having as an endpoint the relationship between AP-related clinical improvement and electroencephalographic features were included. Heterogeneity prevented a quantitative synthesis. Out of 1232 records screened, 22 studies were included in a final qualitative synthesis. Included studies evaluated resting-state and task-related power spectra, functional connectivity, microstates and epileptic abnormalities. At pre-treatment resting-state EEG, the most relevant predictors of a poor response were a change in theta power compared to healthy control, a high alpha power and connectivity, and diminished beta power. Considering EEG during treatment, an increased theta power, a reduced beta-band activity, an increased alpha activity, a decreased coherence in theta, alpha and beta-band were related to a favorable outcome. EEG is promising as a method to create a predictive biomarker for response to APs; further investigations are warranted to harmonize and generalize the contradictory results of reviewed studies.
PubMed: 38071394
DOI: 10.1038/s41537-023-00419-z -
The Lancet. Digital Health Dec 2023Machine learning and deep learning models have been increasingly used to predict long-term disease progression in patients with chronic obstructive pulmonary disease... (Meta-Analysis)
Meta-Analysis
Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.
BACKGROUND
Machine learning and deep learning models have been increasingly used to predict long-term disease progression in patients with chronic obstructive pulmonary disease (COPD). We aimed to summarise the performance of such prognostic models for COPD, compare their relative performances, and identify key research gaps.
METHODS
We conducted a systematic review and meta-analysis to compare the performance of machine learning and deep learning prognostic models and identify pathways for future research. We searched PubMed, Embase, the Cochrane Library, ProQuest, Scopus, and Web of Science from database inception to April 6, 2023, for studies in English using machine learning or deep learning to predict patient outcomes at least 6 months after initial clinical presentation in those with COPD. We included studies comprising human adults aged 18-90 years and allowed for any input modalities. We reported area under the receiver operator characteristic curve (AUC) with 95% CI for predictions of mortality, exacerbation, and decline in forced expiratory volume in 1 s (FEV). We reported the degree of interstudy heterogeneity using Cochran's Q test (significant heterogeneity was defined as p≤0·10 or I>50%). Reporting quality was assessed using the TRIPOD checklist and a risk-of-bias assessment was done using the PROBAST checklist. This study was registered with PROSPERO (CRD42022323052).
FINDINGS
We identified 3620 studies in the initial search. 18 studies were eligible, and, of these, 12 used conventional machine learning and six used deep learning models. Seven models analysed exacerbation risk, with only six reporting AUC and 95% CI on internal validation datasets (pooled AUC 0·77 [95% CI 0·69-0·85]) and there was significant heterogeneity (I 97%, p<0·0001). 11 models analysed mortality risk, with only six reporting AUC and 95% CI on internal validation datasets (pooled AUC 0·77 [95% CI 0·74-0·80]) with significant degrees of heterogeneity (I 60%, p=0·027). Two studies assessed decline in lung function and were unable to be pooled. Machine learning and deep learning models did not show significant improvement over pre-existing disease severity scores in predicting exacerbations (p=0·24). Three studies directly compared machine learning models against pre-existing severity scores for predicting mortality and pooled performance did not differ (p=0·57). Of the five studies that performed external validation, performance was worse than or equal to regression models. Incorrect handling of missing data, not reporting model uncertainty, and use of datasets that were too small relative to the number of predictive features included provided the largest risks of bias.
INTERPRETATION
There is limited evidence that conventional machine learning and deep learning prognostic models demonstrate superior performance to pre-existing disease severity scores. More rigorous adherence to reporting guidelines would reduce the risk of bias in future studies and aid study reproducibility.
FUNDING
None.
Topics: Adult; Humans; Reproducibility of Results; Deep Learning; Quality of Life; Pulmonary Disease, Chronic Obstructive; Prognosis
PubMed: 38000872
DOI: 10.1016/S2589-7500(23)00177-2 -
Journal of Maxillofacial and Oral... Feb 2024Mucormycosis has emerged as one of the most fatal complications arising due to COVID-19, though it has to be mentioned that the disease is capable of causing serious... (Review)
Review
INTRODUCTION
Mucormycosis has emerged as one of the most fatal complications arising due to COVID-19, though it has to be mentioned that the disease is capable of causing serious illness even on its own.
OBJECTIVES
Through this investigation, we would review the threat that mucormycosis poses, in terms of its prevalence and degree of severity both in the pre- and post-COVID world.
MATERIALS AND METHODS
A comprehensive examination of the studies published in online databases turned up 207 papers, 103 of which had undergone in-depth analysis, using both inclusion and exclusion criteria, shortlisting 15 studies that were appropriate for reviewing.
RESULTS
The incidence of mucormycosis was linked to coronavirus in 7 of the 15 studies that were chosen. The remaining eight studies had sufferers of various systemic diseases, like HIV/AIDS and diabetes.
DISCUSSION
All the cases suffered diabetes mellitus. Regardless of the time period of the chosen article, corticosteroids and antifungal medications were administered to all patients. There were noticeable differences in terms of mortality, predisposing factors, and virulence between pre-COVID and post-COVID mucormycosis.
SUMMARY AND CONCLUSION
The prevalence of systemic conditions such as diabetes in cases of mucormycosis has remained the same even after the incidence of this pandemic, showing that the basic treatment modalities continue to remain the same irrespective of the damage that corona virus has caused to the sufferer, although mucormycosis arising due to COVID-19 differs from mucormycosis that was incident before the advent of the pandemic.
PubMed: 38312959
DOI: 10.1007/s12663-023-02028-w -
Frontiers in Neurology 2023To systematically evaluate the full spectrum of self-reported chronic symptoms in patients with unilateral vestibular hypofunction (UVH) and to investigate the effect of... (Review)
Review
OBJECTIVE
To systematically evaluate the full spectrum of self-reported chronic symptoms in patients with unilateral vestibular hypofunction (UVH) and to investigate the effect of interventions on these symptoms.
METHODS
A systematic review was conducted following the guidelines of the Preferred Reporting Items for Systematic Review and Meta-Analysis Statement (PRISMA). A literature search was performed in Pubmed, Web of Science, Embase, and Scopus to investigate self-reported symptoms and self-report questionnaires in patients with UVH. All original studies ranging from full-text clinical trials to case reports, written in English, German, and French, were included. The frequency of self-reported symptoms was presented. For self-report questionnaires, a meta-analysis was carried out to synthesize scale means by the pre- and post-intervention means and mean changes for studies that investigated interventions.
RESULTS
A total of 2,110 studies were retrieved. Forty-seven studies were included after title-abstract selection and full-text selection by two independent reviewers. The symptoms of UVH patients included chronic dizziness (98%), imbalance (81%), symptoms worsened by head movements (75%), visually induced dizziness (61%), symptoms worsened in darkness (51%), and oscillopsia (22%). Additionally, UVH could be accompanied by recurrent vertigo (77%), tiredness (68%), cognitive symptoms (58%), and autonomic symptoms (46%). Regarding self-report questionnaires, UVH resulted on average in a moderate handicap, with an estimated mean total score on the Dizziness Handicap Inventory (DHI) and the Vertigo Symptom Scale (VSS) of 46.31 (95% CI: 41.17-51.44) and 15.50 (95% CI: 12.59-18.41), respectively. In studies that investigated the effect of vestibular intervention, a significant decrease in the estimated mean total DHI scores from 51.79 (95% CI: 46.61-56.97) (pre-intervention) to 27.39 (95% CI: 23.16-31.62) (post intervention) was found ( < 0.0001). In three studies, the estimated mean total Visual Analog Scale (VAS) scores were 7.05 (95% CI, 5.64-8.46) (pre-intervention) and 2.56 (95% CI, 1.15-3.97) (post-intervention). Finally, a subgroup of patients (≥32%) persists with at least a moderate handicap, despite vestibular rehabilitation.
CONCLUSION
A spectrum of symptoms is associated with UVH, of which chronic dizziness and imbalance are most frequently reported. However, semi-structured interviews should be conducted to define the whole spectrum of UVH symptoms more precisely, in order to establish a validated patient-reported outcome measure (PROM) for UVH patients. Furthermore, vestibular interventions can significantly decrease self-reported handicap, although this is insufficient for a subgroup of patients. It could therefore be considered for this subgroup of patients to explore new intervention strategies like vibrotactile feedback or the vestibular implant.
SYSTEMATIC REVIEW REGISTRATION
[https://www.crd.york.ac.uk/prospero/], identifier [CRD42023389185].
PubMed: 37483440
DOI: 10.3389/fneur.2023.1177314 -
Expert Review of Molecular Diagnostics 2023Early detection of pre-cancerous adenomas through screening can reduce colorectal cancer (CRC) incidence. Fecal immunochemical tests are commonly used, but have limited... (Meta-Analysis)
Meta-Analysis Review
Progress in the field of noninvasive diagnostics for colorectal cancer: a systematic review for the accuracy of blood-based biomarkers for detection of advanced pre-cancerous lesions.
BACKGROUND
Early detection of pre-cancerous adenomas through screening can reduce colorectal cancer (CRC) incidence. Fecal immunochemical tests are commonly used, but have limited sensitivity for pre-cancerous lesions. Blood-based screening may improve test sensitivity. This systematic review and meta-analysis was conducted to evaluate the accuracy of blood-based biomarkers for detection of advanced pre-cancerous lesions.
RESEARCH DESIGN AND METHODS
We present the accuracy of blood-based biomarkers for the detection of advanced pre-cancerous lesions. EMBASE, Web of Science and PubMed databases were searched, with study populations limited to adults diagnosed with advanced pre-cancerous lesions at colonoscopy, who had a blood-based biomarker test analyzed with reports of sensitivity and specificity.
RESULTS
69 studies were identified, which assessed 133 unique biomarkers sets. The best performing test was a panel of 6 miRNAs, with a sensitivity of 95% and specificity of 90% for advanced pre-cancerous lesions. Only 6 biomarkers demonstrated sensitivity ≥ 50% and specificity ≥ 90% for the detection of advanced pre-cancerous lesions.
CONCLUSION
Many different blood-based biomarkers have been assessed for detection of advanced pre-cancerous lesions, but few have progressed beyond the discovery stage. While some biomarkers have reported high sensitivity and specificity, larger prospective studies in unbiased intended-use screening populations are required for validation.
Topics: Adult; Humans; Colorectal Neoplasms; Prospective Studies; Sensitivity and Specificity; MicroRNAs; Biomarkers, Tumor; Early Detection of Cancer; Feces
PubMed: 38044883
DOI: 10.1080/14737159.2023.2290646 -
Epidemiology and Psychiatric Sciences Oct 2023It has been suggested that people with mental disorders have an elevated risk to acquire severe acute respiratory syndrome coronavirus 2 and to be disproportionally... (Meta-Analysis)
Meta-Analysis
AIMS
It has been suggested that people with mental disorders have an elevated risk to acquire severe acute respiratory syndrome coronavirus 2 and to be disproportionally affected by coronavirus disease 19 (COVID-19) once infected. We aimed to analyse the COVID-19 infection rate, course and outcome, including mortality and long COVID, in people with anxiety, depressive, neurodevelopmental, schizophrenia spectrum and substance use disorders relative to control subjects without these disorders.
METHODS
This study constitutes a preregistered systematic review and random-effects frequentist and Bayesian meta-analyses. Major databases were searched up until 27 June 2023.
RESULTS
Eighty-one original articles were included reporting 304 cross-sectional and prospective effect size estimates (median per effect-size = 114837) regarding associations of interest. Infection risk was not significantly increased for any mental disorder that we investigated relative to samples of people without these disorders. The course of COVID-19, however, is relatively severe, and long COVID and COVID-19-related hospitalization are more likely in all patient samples that we investigated. The odds of dying from COVID-19 were high in people with most types of mental disorders, except for those with anxiety and neurodevelopmental disorders relative to non-patient samples (pooled ORs range, 1.26-2.57). Bayesian analyses confirmed the findings from the frequentist approach and complemented them with estimates of the strength of evidence.
CONCLUSIONS
Once infected, people with pre-existing mental disorders are at an elevated risk for a severe COVID-19 course and outcome, including long COVID and mortality, relative to people without pre-existing mental disorders, despite an infection risk not significantly increased.
Topics: Humans; COVID-19; Prospective Studies; Post-Acute COVID-19 Syndrome; Bayes Theorem; Cross-Sectional Studies; Mental Disorders
PubMed: 37859501
DOI: 10.1017/S2045796023000719 -
Annals of Medicine Dec 2023The coronavirus disease-19 (COVID-19) increased the already heavy workload in the pulmonary and respiratory departments, which therefore possibly increased the... (Meta-Analysis)
Meta-Analysis
OBJECTIVES
The coronavirus disease-19 (COVID-19) increased the already heavy workload in the pulmonary and respiratory departments, which therefore possibly increased the prevalence of burnout among pulmonologists or respiratory therapists. We aimed to compare the differences in burnout among pulmonologists or respiratory therapists pre- and post-COVID-19 by doing a systematic review with meta-analysis.
METHODS
We searched pulmonologist, or pulmonary, or respiratory, and burnout up to 29 January 2023 in six databases. We included studies investigating pulmonologists or respiratory therapists and reporting the prevalence of burnout among them. The risk of bias was assessed by a tool for prevalence studies. The overall prevalence of burnout was pooled.
RESULTS
A total of 2859 records were identified and 16 studies were included in the final analysis. The included studies reported 3610 responding individuals and 2336 burnouts. The pooled prevalence of burnout was 61.7% (95% confidence interval (CI), 48.6-73.2%; = 96.3%). The pooled prevalence of burnout during COVID-19 was significantly higher than it was prior to the outbreak (68.4% vs. 41.6%, = .01). The result of the meta-regression revealed that COVID-19 coverage was significantly associated with the prevalence of burnout ( = .04).
CONCLUSIONS
Burnout was widely prevalent among pulmonologists or respiratory therapists and increasingly perceived during COVID-19. Therefore, interventions were needed to reduce burnout in this specialty.KEY MESSASGESThe coronavirus disease-19 increased the already heavy workload in the pulmonary and respiratory departments.Burnout was widely prevalent among pulmonologists or respiratory therapists and increasingly perceived during COVID-19.
Topics: Humans; COVID-19; Pulmonologists; Prevalence; Burnout, Professional; Burnout, Psychological
PubMed: 37459584
DOI: 10.1080/07853890.2023.2234392 -
Blood Reviews Nov 2023Optimal peri-operative management for women with Von Willebrand disease (VWD) and heavy menstrual bleeding (HMB) remains undetermined. (Review)
Review
BACKGROUND
Optimal peri-operative management for women with Von Willebrand disease (VWD) and heavy menstrual bleeding (HMB) remains undetermined.
AIM AND METHODS
To evaluate (pre)operative management in relation to (post)operative bleeding after endometrial ablation (EA) and hysterectomy in VWD women with HMB by performing a database search between 1994 and 2023.
RESULTS
Eleven cohort studies and 1 case-report were included, of overall 'low' quality, describing 691 operative procedures. Prophylaxis (Desmopressin, clotting factor concentrates or tranexamic acid) to prevent bleeding was described in 100% (30/30) of EA procedures and in 4% (24/661) of hysterectomies. Bleeding complications despite prophylaxis were described in 13% (3/24) of hysterectomies vs 0% (0/30) in EA.
CONCLUSION
VWD women often seem to experience bleeding complications during hysterectomy and all women with VWD received preprocedural hemostatic agents during EA, indicating potential under- and overdosing of current prophylactic strategies. Prospective studies are needed to determine the optimal (pre)operative strategy for gynecological surgical procedures in women with VWD.
Topics: Female; Humans; Hemorrhage; Menorrhagia; Prospective Studies; Tranexamic Acid; von Willebrand Diseases; von Willebrand Factor
PubMed: 37716881
DOI: 10.1016/j.blre.2023.101131 -
Parkinsonism & Related Disorders Jul 2023Status Dystonicus (SD) represents the most severe end of the spectrum of dystonia. We aimed to explore whether reported features of cases of SD have changed over time. (Review)
Review
BACKGROUND
Status Dystonicus (SD) represents the most severe end of the spectrum of dystonia. We aimed to explore whether reported features of cases of SD have changed over time.
METHODS
A systematic review of cases of SD reported from 2017 to 2023 and comparison of features to data extracted from 2 previous literature reviews (epochs 2012-2017 and pre-2012).
RESULTS
From 53 papers, a total 206 SD episodes in 168 patients were identified from 2017 to 2023. Combining data from all 3 epochs, a total of 339 SD episodes were reported from 277 patients. SD episodes occurred mostly in children, with a trigger identified in 63.4% of episodes, most commonly infection/inflammation. Most reported underlying aetiologies were genetic (e.g. 49.5% between 2017 and 2023), including new associated aetiologies in each epoch. Deep Brain Stimulation (DBS)-related SD increased over time. Neurosurgical interventions were more frequently reported in later epochs. Across the epochs, return to or improvement post SD episode, compared to baseline was reported above 70%. Reported mortality was 4.9% most recently, compared to 11.4% and 7.9%, previously.
CONCLUSIONS
SD episodes reported have more than doubled in the last 5 years. Reports of medication change-induced SD have become less frequent, whilst episodes of DBS-related SD have become more frequent. More dystonia aetiologies, including novel aetiologies have been reported in recent cohorts, reflecting advances in genetic diagnosis. Neurosurgical interventions are increasingly reported in the management of SD episodes, including novel use of intraventricular baclofen. Overall outcomes from SD remain largely unchanged over time. No prospective epidemiological studies of SD were identified.
Topics: Child; Humans; Dystonia; Dystonic Disorders; Neurosurgical Procedures; Prospective Studies; Deep Brain Stimulation; Globus Pallidus
PubMed: 37268557
DOI: 10.1016/j.parkreldis.2023.105438 -
European Journal of Clinical Nutrition Jul 2023Pre-eclampsia can lead to maternal and neonatal complications and is a common cause of maternal mortality worldwide. This review has examined the effect of micronutrient... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Pre-eclampsia can lead to maternal and neonatal complications and is a common cause of maternal mortality worldwide. This review has examined the effect of micronutrient supplementation interventions in women identified as having a greater risk of developing pre-eclampsia.
METHODS
A systematic review was performed using the PRISMA guidelines. The electronic databases MEDLINE, EMBASE and the Cochrane Central Register of Controlled trials were searched for relevant literature and eligible studies identified according to a pre-specified criteria. A meta-analysis of randomised controlled trials (RCTs) was conducted to examine the effect of micronutrient supplementation on pre-eclampsia in high-risk women.
RESULTS
Twenty RCTs were identified and supplementation included vitamin C and E (n = 7), calcium (n = 5), vitamin D (n = 3), folic acid (n = 2), magnesium (n = 1) and multiple micronutrients (n = 2). Sample size and recruitment time point varied across studies and a variety of predictive factors were used to identify participants, with a previous history of pre-eclampsia being the most common. No studies utilised a validated prediction model. There was a reduction in pre-eclampsia with calcium (risk difference, -0.15 (-0.27, -0.03, I = 83.4%)), and vitamin D (risk difference, -0.09 (-0.17, -0.02, I = 0.0%)) supplementation.
CONCLUSION
Our findings show a lower rate of pre-eclampsia with calcium and vitamin D, however, conclusions were limited by small sample sizes, methodological variability and heterogeneity between studies. Further higher quality, large-scale RCTs of calcium and vitamin D are warranted. Exploration of interventions at different time points before and during pregnancy as well as those which utilise prediction modelling methodology, would provide greater insight into the efficacy of micronutrient supplementation intervention in the prevention of pre-eclampsia in high-risk women.
Topics: Female; Humans; Infant, Newborn; Pregnancy; Calcium; Calcium, Dietary; Dietary Supplements; Pre-Eclampsia; Pregnant Women; Premature Birth; Vitamin D; Vitamins; Preconception Care
PubMed: 36352102
DOI: 10.1038/s41430-022-01232-0