Biomarkers and Related Factors for the Diagnosis, Risk of Coronary Artery Lesions, and Resistance to Intravenous Immunoglobulin in Kawasaki Disease: An Umbrella Review of Meta-Analyses.

Kawasaki disease (KD) is a self-limited febrile disease predominantly affecting infants and children under 5 years old. Coronary artery lesions (CAL) are a prevalent complication, highlighting the necessity for swift diagnosis and treatment. A comprehensive review of biomarkers applicable for the diagnosis and treatment of Kawasaki disease (KD) in clinical settings is imperative. To provide a comprehensive review and analysis of biomarkers for diagnosis of KD, incidence of CAL, and intravenous immunoglobulin (IVIG) resistance. The data included in our study were sourced from searches conducted in PubMed/MEDLINE, Embase, EBSCO, and Google Scholar until March 15, 2024. Studies investigating the association with KD or evaluating diagnostic value were included in our study. Eligibility was independently assessed by two authors, with conflicts resolved through discussion. Data extraction was performed by 2 independent authors, following Meta-analyses Of Observational Studies in Epidemiology (MOOSE) guideline. Data were pooled using a random-effects model. We assess biomarkers relevant to KD, categorizing them into three groups: diagnostic, associated with CAL incidence, and linked to IVIG resistance. For studies focusing solely on association, we present standardized mean differences (SMD). For those reporting sensitivity and specificity as diagnostic measures, we calculate the diagnostic odds ratio (DOR) to compare their efficacy. We identified 14 meta-analyses on biomarkers related to KD. 11 biomarkers exhibited diagnostic value for KD, while 21 were associated with its progression. Four biomarkers, including non-coding RNAs (DOR, 19.35 [95% CI, 13.58-27.56]), Serum ferritin (DOR, 24.90 [11.67-53.12]), N terminal proBNP (DOR, 21.03 [9.03-49.00]), and micro RNAs (DOR, 45.28 [6.30-325.52]), have significant diagnostic value for the diagnosis of KD. Seven biomarkers showed significant association with the incidence of CAL. Twenty biomarkers were for the prediction of IVIG resistance, including prognostic nutritional index (DOR, 7.72 [95% CI, 2.37-25.09]), non-coding RNAs (DOR, 14.63 [3.24-66.14]), neutrophil to lymphocyte ratio (DOR, 6.62 [4.05-10.81]), platelet to lymphocyte ratio (DOR, 3.30 [2.10-5.19]), and C reactive protein (DOR, 6.58 [3.69-11.74]). Based on the evidence, we have proposed various biomarkers associated with KD. Our aim is for these biomarkers to have wide applicability in both diagnostic and therapeutic settings.

Musculoskeletal morbidity in adults with spinal cord injuries: A nationwide cohort study.

BACKGROUND: An increase in the demand for quality of life following spinal cord injuries (SCIs) is associated with an increase in musculoskeletal (MSK) pain, highlighting the need for preventive measure research. OBJECTIVE: This study aimed to evaluate the incidence and hazards of MSK morbidities among Korean adults with SCIs, as well as the influence of SCI location on MSK morbidities. METHODS: Patient populations were selected from Korean National Health Insurance Service data (n = 276). The control group included individuals without SCIs (n = 10,000). We compared the incidences and determined the unadjusted and adjusted hazard ratios (HRs) of common MSK morbidities (osteoarthritis, connective tissue disorders, sarcopenia, myalgia, neuralgia, rheumatoid arthritis, myositis, and musculoskeletal infections) based on the location of injury (cervical, thoracic, or lumbar). RESULTS: Adults with SCIs had a higher incidence of MSK morbidity (48.45% vs. 36.6%) and a lower survival probability than those without SCIs. The incidence of MSK morbidity and survival probabilities were not significantly different for cervical cord injuries, whereas both measures were significantly different for thoracic and lumbar injuries. CONCLUSION: SCI increases the risk of MSK morbidity. Lumbar SCI is associated with a higher incidence and risk of MSK morbidity than are cervical or thoracic SCIs.

Physical activity and prevention of mental health complications: An umbrella review.

The potential of physical activity in preventing mental health issues has garnered interest among health professionals. We conducted a systematic umbrella review of evidence supporting the relationship between physical activity and the prevention of mental health complications. Our findings revealed a significant association between higher physical activity levels and reduced risk of depression (OR = 0.77, 95% CI 0.72 - 0.82). This association was consistent across various age groups, sex, and geographical regions. Interestingly, low and moderate-intensity physical activity showed the most significant protective effects against depression (low-intensity: OR = 0.81, 95% CI: 0.75-0.56; moderate-intensity: OR = 0.79, 95% CI: 0.72-0.87). Our analysis also showed significant associations between higher physical activity levels and prevention of anxiety disorders (OR = 0.71, 95% CI: 0.61-0.82). However, the evidence regarding the association between physical activity and psychosis/schizophrenia risk was less clear. These findings underscore the physical activity's potential as a preventative measure against mental health complications, highlighting the importance of promoting physical activity in mental health interventions.

Lactate dehydrogenase contribution to symptom persistence in long COVID: A pooled analysis.

There's critical need for risk predictors in long COVID. This meta-analysis evaluates the evidence for an association between plasma lactate dehydrogenase (LDH) and long COVID and explores the contribution of LDH to symptoms persistent across the distinct post-acute sequelae of COVID-19 (PASC) domains. PubMed, EMBASE, Web of Science, and Google Scholar were searched for articles published up to 20 March 2023 for studies that reported data on LDH levels in COVID-19 survivors with and without PASC. Random-effect meta-analysis was employed to estimate the standardized mean difference (SMD) with corresponding 95% confidence interval of each outcome. There were a total of 8289 study participants (3338 PASC vs. 4951 controls) from 46 studies. Our meta-analysis compared to the controls showed a significant association between LDH elevation and Resp-PASC [SMD = 1.07, 95%CI = 0.72, 1.41, p = 0.01] but not Cardio-PASC [SMD = 1.79, 95%CI = -0.02, 3.61, p = 0.05], Neuro-PASC [SMD = 0.19, 95%CI = -0.24, 0.61, p = 0.40], and Gastrointestinal-PASC [SMD = 0.45, 95%CI = -1.08, 1.98, p = 0.56]. This meta-analysis suggests elevated LDH can be used for predicting Resp-PASC, but not Cardio-PASC, Neuro-PASC or gastrointestinal-PASC. Thus, elevated plasma LDH following COVID infection may be considered as a disease biomarker.

A systematic review and meta-analysis of long-term sequelae of COVID-19 2-year after SARS-CoV-2 infection: A call to action for neurological, physical, and psychological sciences.

Long-term sequelae conditions of COVID-19 at least 2-year following SARS-CoV-2 infection are unclear and little is known about their prevalence, longitudinal trajectory, and potential risk factors. Therefore, we conducted a comprehensive meta-analysis of survivors' health-related consequences and sequelae at 2-year following SARS-CoV-2 infection. PubMed/MEDLINE, CENTRAL, and EMBASE were systematically searched up to February 10, 2023. A systematic review and meta-analysis were performed to calculate the pooled effect size, expressed as event rate (ER) with corresponding 95% confidence interval (CI) of each outcome. Twelve studies involving 1 289 044 participants from 11 countries were included. A total of 41.7% of COVID-19 survivors experienced at least one unresolved symptom and 14.1% were unable to return to work at 2-year after SARS-CoV-2 infection. The most frequent symptoms and investigated findings at 2-year after SARS-CoV-2 infection were fatigue (27.4%; 95% CI 17%-40.9%), sleep difficulties (25.1%; 95% CI 22.4%-27.9%), impaired diffusion capacity for carbon monoxide (24.6%; 95% CI 10.8%-46.9%), hair loss (10.2%; 95% CI 7.3%-14.2%), and dyspnea (10.1%; 95% CI 4.3%-21.9%). Individuals with severe infection suffered more from anxiety (OR = 1.69, 95% CI 1.17-2.44) and had more impairments in forced vital capacity (OR = 9.70, 95% CI 1.94-48.41), total lung capacity (OR = 3.51, 95% CI 1.77-6.99), and residual volume (OR = 3.35, 95% CI 1.85-6.07) after recovery. Existing evidence suggest that participants with a higher risk of long-term sequelae were older, mostly female, had pre-existing medical comorbidities, with more severe status, underwent corticosteroid therapy, and higher inflammation at acute infection. Our findings suggest that 2-year after recovery from SARS-CoV-2 infection, 41.7% of survivors still suffer from either neurological, physical, and psychological sequela. These findings indicate that there is an urgent need to preclude persistent or emerging long-term sequelae and provide intervention strategies to reduce the risk of long COVID.

New-onset type 1 diabetes in children and adolescents as postacute sequelae of SARS-CoV-2 infection: A systematic review and meta-analysis of cohort studies.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children and adolescents may increase risk for a variety of post-acute sequelae including new-onset type 1 diabetes mellitus (T1DM). Therefore, this meta-analysis aims to estimate the risk of developing new-onset type 1 diabetes in children and adolescents as post-acute sequelae of SARS-CoV-2 infection. PubMed/MEDLINE, CENTRAL, and EMBASE were systematically searched up to March 20, 2023. A systematic review and subsequent meta-analyses were performed to calculate the pooled effect size, expressed as risk ratio (RR) with corresponding 95% confidence interval (CI) of each outcome based on a one-stage approach and the random-effects estimate of the pooled effect sizes of each outcome were generated with the use of the DerSimonian-Laird method. Eight reports from seven studies involving 11 220 530 participants (2 140 897 patients with a history of diagnosed SARS-CoV-2 infection and 9 079 633 participants in the respective control groups) were included. The included studies reported data from four U.S. medical claims databases covering more than 503 million patients (IQVIA, HealthVerity, TriNetX, and Cerner Real-World Data), and three national health registries for all children and adolescents in Norway, Scotland, and Denmark. It was shown that the risk of new-onset T1DM following SARS-CoV-2 infection in children and adolescents was 42% (95% CI 13%-77%, p = 0.002) higher compared with non-COVID-19 control groups. The risk of developing new-onset T1DM following SARS-CoV-2 infection was significantly higher (67%, 95% CI 32 %-112%, p = 0.0001) in children and adolescents between 0 and 11 years, but not in those between 12 and 17 years (RR = 1.10, 95% CI 0.54-2.23, p = 0.79). We also found that the higher risk for developing new-onset T1DM following SARS-CoV-2 infection only exists in studies from the United States (RR = 1.70, 95% CI 1.37-2.11, p = 0.00001) but not Europe (RR = 1.02, 95% CI 0.67-1.55, p = 0.93). Furthermore, we found that SARS-CoV-2 infection was associated with an elevation in the risk of diabetic ketoacidosis (DKA) in children and adolescents compared with non-COVID-19 control groups (RR = 2.56, 95% CI 1.07-6.11, p = 0.03). Our findings mainly obtained from US medical claims databases, suggest that SARS-CoV-2 infection is associated with higher risk of developing new-onset T1DM and diabetic ketoacidosis in children and adolescents. These findings highlight the need for targeted measures to raise public health practitioners and physician awareness to provide intervention strategies to reduce the risk of developing T1DM in children and adolescents who have had COVID-19.

Calprotectin, an Emerging Biomarker of Interest in COVID-19: A Systematic Review and Meta-Analysis.

COVID-19 has been shown to present with varied clinical course, necessitating a need for more specific diagnostic tools that could identify severe cases and predict outcomes during COVID-19 infection. Recent evidence has shown an expanded potential role for calprotectin, both as a diagnostic tool and also as a tool in stratifying COVID-19 patients in terms of severity. Therefore, this systematic review and meta-analysis aims to evaluate the levels of calprotectin in severe and non-severe COVID-19 and also identify the implication of raised calprotectin levels. MEDLINE, EMBASE, The Cochrane Library, Web of science and MedRxiv were searched. Meta-analysis was done to compare the serum/fecal levels of calprotectin between severe and non-severe COVID-19 infections. A total of ten studies included in the review (eight had quantitative data while two were qualitative). A pooled analysis of the eight studies from 613 patients who were RT-PCR positive for COVID-19 (average age = 55 years; 52% males) showed an overall estimate as 1.34 (95%CI: 0.77, 1.91). In conclusion, calprotectin levels have been demonstrated to be significantly elevated in COVID-19 patients who develop the severe form of the disease, and it also has prognostic importance.