Clinical criteria accurately diagnose severe but not moderate alcohol-associated hepatitis: A systematic review and meta-analysis.

BACKGROUND: The precision of clinical criteria and the utility of liver biopsy for diagnosis or prognosis remain unclear in patients with alcohol-associated hepatitis (AH). We systematically reviewed the literature to answer these questions. METHODS: Four databases were searched for studies describing the precision of clinical criteria (National Institute on Alcohol Abuse and Alcoholism, European Association for Study of Liver, or classical) and the role of histology in AH. The precision(positive predictive value) of criteria was pooled through random-effects meta-analysis, and its variation was investigated through subgroups and meta-regression of study-level factors with their percent contribution to variation (R2). The risk of bias among studies was evaluated through the QUADAS2 tool (PROSPERO-ID-CRD4203457250). RESULTS: Of 4320 studies, 18 in the systematic review and 15 (10/5: low/high risk of bias, N=1639) were included in the meta-analysis. The pooled precision of clinical criteria was 80.2% (95% CI: 69.7-89.7, I2:93%, p < 0.01), higher in studies with severe AH (mean-Model for End-Stage Liver Disease > 20) versus moderate AH (mean-Model for End-Stage Liver Disease < 20): 92% versus 67.1%, p < 0.01, and in studies with serum bilirubin cutoff 5 versus 3 mg/dL (88.5% vs.78.8%, p = 0.01). The factors contributing to variation in precision were Model for End-Stage Liver Disease (R2:72.7%), upper gastrointestinal bleed (R2:56.3%), aspartate aminotransferase:aspartate aminotransferase ratio (R2:100%), clinical criteria (R2:40.9%), bilirubin (R2:22.5%), and Mallory body on histology (R2:19.1%).The net inter-pathologist agreement for histologic findings of AH was variable (0.33-0.97), best among 2 studies describing AH through simple and uniform criteria, including steatosis, ballooning, and neutrophilic inflammation. Few studies reported the utility of histology in estimating steroid responsiveness (N = 1) and patient prognosis (N = 4); however, very broad septa, pericellular fibrosis, and cholestasis were associated with mortality. Bilirubinostasis was associated with infection in 1 study. CONCLUSIONS: Clinical criteria are reasonably precise for diagnosing severe AH, while there is an unmet need for better criteria for diagnosing moderate AH. Histologic diagnosis of AH should be simple and uniform.

Otitis Media Prevalence in Children Below 18 Years of Age of India and the Associated Risk Factors: A Systematic Review and Meta-Analysis.

Ear ailments in children are a major public health problem in India. This systematic review and meta-analysis aim to quantitatively pool the epidemiologic evidence on the prevalence of all forms of otitis media in children of India. In this review PRISMA guidelines (preferred reporting items for systematic reviews and meta-analysis) were followed. We did extensive literature search in PubMed, Embase, Cinahl and Web of Science to identify relevant community based cross sectional studies that investigated the prevalence of otitis media in children of India. We used STATA version 16.0 software to perform meta-analysis. Six studies reporting the prevalence of otitis media in children were included in the final analysis. Based on the results of the random-effects sub-group meta-analysis model, the pooled estimated prevalence of Chronic suppurative otitis media in children of India was 3.78% (95% CI 2.72-4.84), Otitis media with effusion was found to be 2.68% (95% CI 1.80, 3.55) and Acute suppurative otitis media to be 0.55 (95% CI 0.32, 0.78). This review suggests substantial otitis media related disease burden in children of India. But due to lack of epidemiological studies, the actual disease burden remains concealed. It is imperative to promote more epidemiological studies that will aid policy makers in recommendation of preventive, diagnostic and treatment strategies for this disease.

Is Neck Pain Related to Sagittal Head and Neck Posture?: A Systematic Review and Meta-analysis.

Background: Neck pain (NP) is common in all age groups and adversely affects the patients' entire lifestyle. There exists inconclusive evidence relating faulty craniocervical posture with pain-related disability. This review aims to determine whether sagittal head and neck posture differs in NP and pain-free subjects, to critically appraise the correlation of posture with NP. Methods: Of 3796 articles identified at primary search from CINAHL, PubMed, Google Scholar, EMBASE, 26 were included based on eligibility criteria. Mean pooled difference (MPD) and effect size (ES) were calculated to establish relationship among studies, to assess postural correlation with NP measures [Visual Analogue Scale (VAS), Numeric Pain Rating Scale (NPRS), neck disability index (NDI), Northwick Park NP Questionnaire (NPQ)] and for age- and gender-wise variation. Risk of bias was assessed using Newcastle-Ottawa Quality Assessment Scale. Results: Craniovertebral angle (CVA) had a significant MPD of - 2.93(95% CI - 4.95 to - 0.91). Sagittal head angle (SHA) and forward head posture (FHP) had an insignificant MPD of 1.15 (95% CI - 1.16 to 3.46) and - 0.26 (95% CI - 1.89 to 1.36), respectively. Age- and gender-wise CVA difference was found to be 2.36° and 2.57°, respectively. ES was significant for correlation between CVA and pain intensity [NPRS: - 0.44 (95% CI - 0.61 to - 0.26); VAS: - 0.31 (95% CI - 0.46 to - 0.16)], and between CVA and disability [NDI: - 0.18 (95% CI - 0.31 to - 0.05); NPQ: - 0.47 (95% CI - 0.61 to - 0.320)]. Conclusion: CVA differs for age, gender, and pain vs pain-free subjects, and correlates negatively with NP measures. Other surrogate measures (SHA, cranial and cervical angles, FHP) warrant further research. PROSPERO Registration: PROSPERO 2021 CRD42021275485.

Immune-mediated liver injury following COVID-19 vaccination: A systematic review.

Immune-mediated liver injury (ILI) following coronavirus disease 2019 (COVID-19) vaccination is not well-characterized. Therefore, we systematically reviewed the literature on ILI after COVID-19 vaccination. We searched PubMed, Cochrane, Ovid, Embase, and gray literature to include articles describing ILI following COVID-19 vaccination. Reports without confirmatory evidence from liver biopsy were excluded. Descriptive analysis, and study quality were reported as appropriate. Of the 1,048 articles found, 13 (good/fair quality; 23 patients) were included. Studies were primarily from Europe (n = 8), America (n = 2), Asia (n = 2), or Australia (n = 1). Patients were predominantly females (62.5%) of age 55.3 years (49.1-61.4), with an antecedent exposure to Moderna messenger RNA (mRNA)-1273 (47.8%), Pfizer-BioNTech BNT162b2 mRNA (39.2%), or ChAdOx1 nCoV-19 vaccine (13%). Pre-existing comorbidities (69.6%) were common, including liver disease in 26.1% and thyroid disorders in 13% of patients. About two-thirds of the patients were on concurrent medications (paracetamol, levothyroxine, statins, and non-steroidal anti-inflammatory drugs). Jaundice was the most common symptom (78.3%). Peak bilirubin, alanine aminotransferase, and alkaline phosphatase levels were 10.8 (6.8-14.8) mg/dl, 1,106.5 (757.0-1,702.5) U/L, and 229 (174.6-259.6) U/L, respectively. Histological findings were intense portal lymphoplasmacytic infiltrate with interface hepatitis. Steroids were used in 86.9% of patients, and complete response, recovering course, and death were reported in 56.5%, 39.1%, and 4.3% of patients, respectively. ILI following COVID-19 vaccination is rare. The diagnosis is established on temporal correlation, biochemical findings, and histopathology. Prognosis is excellent with corticosteroids. Causality establishment remains a challenge.

Global epidemiological burden of fungal infections in cirrhosis patients: A systematic review with meta-analysis.

BACKGROUND AND AIMS: Fungal infections (FIs) have serious implications, yet understated in cirrhosis. Therefore, we reviewed the epidemiology and trends of FIs among cirrhotics. METHODS: Four electronic databases were searched for full-text articles describing prevalence of FIs in cirrhosis. Studies from post-transplant, malignancy and classical-immuno-deficiency patients were excluded. A random-effects meta-analysis was done to pool estimates of FIs (overall, and by type and infection-site), and their variation(I2 ) was explored on moderator-analysis and meta-regression. Risk of bias and asymmetry in estimates was assessed by a checklist and Egger's regression, respectively.(CRD42019142782). RESULTS: Thirty-four low-risk and four moderate-risk studies (31 984 cirrhotics) were included. Pooled estimates of overall FIs (17 studies), invasive fungal infections (IFIs; 17 studies), invasive candidiasis (23 studies) and invasive aspergillosis (16 studies) in cirrhosis were 10.2%(6.0-16.9), 9.5%(5.4-16.2), 4.0%(2.0-8.0) and 2.8%(1.5-5.3), respectively (I2  > 90%;each). Site of FIs in decreasing order of pooled prevalence was pulmonary, urinary tract, bloodstream, peritoneal, oesophageal and cerebral. Geographic differences in these estimates were remarkable, with highest burden of overall FIs from Belgium, the United States and India. Non-albicans-Candida and Aspergillus infections have increased over the last decade in cirrhosis. Intensive-care-unit (ICU)-admitted and acute-on-chronic liver failure (ACLF) patients had the highest prevalence of IFIs. MELD score(cases), bias score and sample size across studies were the predictors of variance in overall FI estimates. Diabetes, steroid and broad-spectrum antibiotic-exposure, and multiple organ failures were the common predispositions reported in patients with FIs. CONCLUSIONS: FIs impose a substantial burden in cirrhosis. ACLF and ICU admission should be considered as a host factor for defining IFIs. Epidemiology of FIs can guide interpretation of biomarkers and antifungal treatment in cirrhosis.

Comparative accuracy of 1,3 beta-D glucan and galactomannan for diagnosis of invasive fungal infections in pediatric patients: a systematic review with meta-analysis.

Invasive fungal infections (IFI) cause considerable morbidity and mortality in pediatric patients. Serum biomarkers such as 1,3-beta-D glucan (BDG) and galactomannan (GM) have been evaluated for the IFI diagnosis. However, most evidence regarding their utility is derived from studies in adult oncology patients. This systematic review aimed to compare the diagnostic accuracy of BDG and GM individually or in combination for diagnosing IFI in pediatric patients. PubMed, CINAHL, Embase, and Cochrane Library were searched until March 2019 for diagnostic studies evaluating both serum GM and BDG for diagnosing pediatric IFI. The pooled diagnostic odds ratio (DOR), specificity and sensitivity were computed. Receiver operating characteristics (ROC) curve and area under the curve (AUC) were used for summarizing overall assay performance. Six studies were included in the meta-analysis. The summary estimates of sensitivity, specificity, pooled DOR, AUC of the GM assay for proven or probable IFI were 0.74, 0.76, 13.25, and 0.845. The summary estimates of sensitivity, specificity, pooled DOR, AUC of the BDG assay were 0.70, 0.69, 4.3, and 0.722. The combined predictive ability of both tests was reported in two studies (sensitivity: 0.67, specificity: 0.877). Four studies were performed in hematology-oncology patients, while two were retrospective studies from pediatric intensive care units (ICUs). In the subgroup of hematology-oncology patients, DOR of BDG remained similar at 4.25 but increased to 40.28 for GM. We conclude that GM and BDG have a modest performance for identifying IFI in pediatric patients. GM has a better accuracy over BDG. Combining both improves the specificity at the cost of sensitivity.

Towards an Interpretable Classifier for Characterization of Endoscopic Mayo Scores in Ulcerative Colitis Using Raman Spectroscopy.

Ulcerative colitis (UC) is one of the main types of chronic inflammatory diseases that affect the bowel, but its pathogenesis is yet to be completely defined. Assessing the disease activity of UC is vital for developing a personalized treatment. Conventionally, the assessment of UC is performed by colonoscopy and histopathology. However, conventional methods fail to retain biomolecular information associated to the severity of UC and are solely based on morphological characteristics of the inflamed colon. Furthermore, assessing endoscopic disease severity is limited by the requirement for experienced human reviewers. Therefore, this work presents a nondestructive biospectroscopic technique, for example, Raman spectroscopy, for assessing endoscopic disease severity according to the four-level Mayo subscore. This contribution utilizes multidimensional Raman spectroscopic data to generate a predictive model for identifying colonic inflammation. The predictive modeling of the Raman spectroscopic data is performed using a one-dimensional deep convolutional neural network (1D-CNN). The classification results of 1D-CNN achieved a mean sensitivity of 78% and a mean specificity of 93% for the four Mayo endoscopic scores. Furthermore, the results of the 1D-CNN are interpreted by a first-order Taylor expansion, which extracts the Raman bands important for classification. Additionally, a regression model of the 1D-CNN model is constructed to study the extent of misclassification and border-line patients. The overall results of Raman spectroscopy with 1D-CNN as a classification and regression model show a good performance, and such a method can serve as a complementary method for UC analysis.