The Association between Serum Bilirubin and Kernicterus Spectrum Disorder: A Systematic Review and Meta-Analysis

Neonatology ◽  
2021 ◽  
pp. 1-11
Author(s):  
Nai Ming Lai ◽  
Joanna Priya Gerard ◽  
Chin Fang Ngim ◽  
Azanna Ahmad Kamar ◽  
Kee-Hsin Chen
Keyword(s):  
Risk Factors ◽  
Attention Deficit Disorder ◽  
Serum Bilirubin ◽  
Meta Analysis ◽  
Random Effect ◽  
Multivariable Analysis ◽  
Analysis Data ◽  
Spectrum Disorder ◽  
Total Serum ◽  
Neurodevelopmental Outcomes

<b><i>Background:</i></b> Total serum bilirubin (TSB) is used in managing neonates with jaundice, but clear evidence on its association with major outcomes is lacking. <b><i>Objectives:</i></b> We evaluated the association between TSB and kernicterus spectrum disorder (KSD). <b><i>Methods:</i></b> We searched PubMed, EMBASE, and CENTRAL till July 2021. Two authors independently selected relevant cohort studies, extracted data (CHARMS checklist), assessed risk of bias (RoB) (QUIPS tool), and rated certainty-of-evidence (Grades of Recommendation, Assessment, Development, and Evaluation). We pooled adjusted odds ratio (aOR) (random-effect) via generic inverse variance methods. <b><i>Results:</i></b> From 2,826 records retrieved, we included 37 studies (<i>n</i> = 648,979). Fifteen studies had low, 16 moderate, and 6 high RoB, with majority having concerns on confounder adjustment and statistical analysis. Twenty-two studies contributed meta-analysis data, and 15 were summarized narratively. TSB appears associated with KSD in infants with certain risk factors (aOR 1.10, 95% CI: 1.07–1.13; 5 studies [<i>n</i> = 4,484]). However, TSB (aOR 1.10, 95% CI: 0.98–1.23; 1 study [<i>n</i> = 34,533]) or hyperbilirubinemia (aOR 1.00, 95% CI: 0.51–1.95; 2 studies [<i>n</i> = 56,578]) have no clear association with kernicterus or neurological diagnosis in overall neonatal population (moderate-certainty-evidence). One study shows that infants with hyperbilirubinemia appear likelier to develop attention-deficit disorder (aOR 1.90, 95% CI: 1.10–3.28) and autistic spectrum disorder (aOR 1.60, 95% CI: 1.03–2.49, <i>n</i> = 56,019) (low-certainty-evidence). Certain clinical factors appear associated with KSD, although very few studies contributed to the analyses. <b><i>Conclusions:</i></b> Despite the importance of this question, there is insufficient high-quality evidence on the independent prognostic value of TSB for adverse neurodevelopmental outcomes in most neonatal populations. Future studies should incorporate all known risk factors alongside TSB in a multivariable analysis to improve certainty-of-evidence.

scholarly journals Systematic review on risk factors of rotator cuff tears

2017 ◽  
Vol 25 (1) ◽  
pp. 230949901668431 ◽  
Author(s):  
Andrew Arjun Sayampanathan ◽  
Tan Hwee Chye Andrew
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Rotator Cuff ◽  
Meta Analysis ◽  
Random Effect ◽  
Female Gender ◽  
Analysis Data ◽  
Rotator Cuff Tears ◽  
Dominant Hand ◽  
Random Effect Models

Purpose: Rotator cuff tears (RCTs) occur commonly, especially among certain groups of individuals. In this meta-analysis, we aim to identify risk factors for RCTs. Methods: We searched MEDLINE for 210 articles. Seventeen articles were selected for systematic review, of which 10 were eligible for meta-analysis. Data was analysed with Review Manager 5.3, using Mantel–Haenszel statistics and random effect models. Results: A total of 6653 individuals were analysed. The odds of sustaining a RCT on the dominant hand was 2.30 times more than the non-dominant hand (95% confidence interval (CI): 1.01–5.25, Z = 1.99, p = 0.05; Heterogenity: τ2 = 0.38, χ2 = 8.84, df = 2 ( p = 0.01), I2 = 77%). The odds of an individual aged 60 years and above sustaining a RCT was 5.07 times higher than an individual less than 60 years old (95% CI: 2.45–10.51, Z = 4.37, p < 0.001; Heterogenity: τ2 = 0.47, χ2 = 25.24, df = 3 ( p < 0.001), I2 = 88%). Female gender was not a significant association, with an odds ratio of 0.98 when compared to the male gender (95% CI: 0.66–1.45, Z = 0.09, p = 0.93; Heterogenity: τ2 = 0.20, χ2 = 44.24, df = 5 ( p < 0.001), I2 = 89%). Conclusions: Hand dominance and older age are associated with RCTs. More studies are required for further assessment of associations and risk factors of RCTs.

scholarly journals Prevalence and risk factors for antibiotic utilization in Chinese children

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shasha Guo ◽  
Qiang Sun ◽  
Xinyang Zhao ◽  
Liyan Shen ◽  
Xuemei Zhen
Keyword(s):  
Risk Factors ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Healthcare Research ◽  
Chinese Children ◽  
Rural Setting ◽  
Antibiotic Prescribing ◽  
Antibiotic Utilization ◽  
At Home

Abstract Background Antibiotic resistance poses a significant threat to public health globally. Irrational utilization of antibiotics being one of the main reasons of antibiotic resistant. Children as a special group, there's more chance of getting infected. Although most of the infection is viral in etiology, antibiotics still are the most frequently prescribed medications for children. Therefore, high use of antibiotics among children raises concern about the appropriateness of antibiotic prescribing. This systematic review aims to measuring prevalence and risk factors for antibiotic utilization in children in China. Methods English and Chinese databases were searched to identify relevant studies evaluating the prevalence and risk factors for antibiotic utilization in Chinese children (0-18 years), which were published between 2010 and July 2020. A Meta-analysis of prevalence was performed using random effect model. The Agency for Healthcare Research and Quality (AHRQ) and modified Jadad score was used to assess risk of bias of studies. In addition, we explored the risk factors of antibiotic utilization in Chinese children using qualitative analysis. Results Of 10,075 studies identified, 98 eligible studies were included after excluded duplicated studies. A total of 79 studies reported prevalence and 42 studies reported risk factors for antibiotic utilization in children. The overall prevalence of antibiotic utilization among outpatients and inpatients were 63.8% (35 studies, 95% confidence interval (CI): 55.1-72.4%), and 81.3% (41 studies, 95% CI: 77.3-85.2%), respectively. In addition, the overall prevalence of caregiver’s self-medicating of antibiotics for children at home was 37.8% (4 studies, 95% CI: 7.9-67.6%). The high prevalence of antibiotics was associated with multiple factors, while lacking of skills and knowledge in both physicians and caregivers was the most recognized risk factor, caregivers put pressure on physicians to get antibiotics and self-medicating with antibiotics at home for children also were the main factors attributed to this issue. Conclusion The prevalence of antibiotic utilization in Chinese children is heavy both in hospitals and home. It is important for government to develop more effective strategies to improve the irrational use of antibiotic, especially in rural setting.

Lack of Identifiable Risk Factors for Kernicterus

PEDIATRICS ◽  
1980 ◽  
Vol 66 (4) ◽  
pp. 502-506 ◽  
Author(s):  
Susan Beckwitt Turkel ◽  
Marta E. Guttenberg ◽  
Diane Radovich Moynes ◽  
Joan E. Hodgman
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Premature Infants ◽  
Serum Bilirubin ◽  
Matched Control ◽  
Total Serum ◽  
Clinical Factors ◽  
Factors Associated ◽  
Increased Risk ◽  
Control Study

In recent years kernicterus at autopsy has been observed in sick premature infants in the absence of markedly elevated levels of serum bilirubin. Potentiating factors have been suggested to explain kernicterus in such a setting. In order to establish which factors are associated with increased risk for kernicterus in these small babies, this retrospective matched control study was undertaken. Thirty-two infants with kernicterus at autopsy were matched for gestational age, birth weight, length of survival, and year of birth to 32 control infants without kernicterus. Multiple historical, clinical, and laboratory factors were compared, including therapy, sepsis, hypothermia, asphyxia as reflected by Apgar score, hematocrit, acidosis, hypercarbia, hypoxia, hypoglycemia, and hyperbilirubinemia. No statistically significant differences between the kernicteric and nonkernicteric infants were demonstrated for any of these factors, including peak total serum bilirubin levels. Multivariant analysis also failed to determine a group of factors associated with increased risk for kernicterus. It was not possible to separate those infants with and without kernicterus at autopsy on the basis of the clinical factors evaluated.

scholarly journals Stroke in COVID-19: A systematic review and meta-analysis

2020 ◽  
pp. 174749302097292 ◽  
Author(s):  
Stefania Nannoni ◽  
Rosa de Groot ◽  
Steven Bell ◽  
Hugh S Markus
Keyword(s):  
Risk Factors ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cerebrovascular Diseases ◽  
Large Vessel ◽  
Quality Data ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
Median Difference

Background Coronavirus disease 2019 (COVID-19) has become a global pandemic, affecting millions of people. However, the relationship between COVID-19 and acute cerebrovascular diseases is unclear. Aims We aimed to characterize the incidence, risk factors, clinical–radiological manifestations, and outcome of COVID-19-associated stroke. Methods Three medical databases were systematically reviewed for published articles on acute cerebrovascular diseases in COVID-19 (December 2019–September 2020). The review protocol was previously registered (PROSPERO ID = CRD42020185476). Data were extracted from articles reporting ≥5 stroke cases in COVID-19. We complied with the PRISMA guidelines and used the Newcastle–Ottawa Scale to assess data quality. Data were pooled using a random-effect model. Summary of review Of 2277 initially identified articles, 61 (2.7%) were entered in the meta-analysis. Out of 108,571 patients with COVID-19, acute CVD occurred in 1.4% (95%CI: 1.0–1.9). The most common manifestation was acute ischemic stroke (87.4%); intracerebral hemorrhage was less common (11.6%). Patients with COVID-19 developing acute cerebrovascular diseases, compared to those who did not, were older (pooled median difference = 4.8 years; 95%CI: 1.7–22.4), more likely to have hypertension (OR = 7.35; 95%CI: 1.94–27.87), diabetes mellitus (OR = 5.56; 95%CI: 3.34–9.24), coronary artery disease (OR = 3.12; 95%CI: 1.61–6.02), and severe infection (OR = 5.10; 95%CI: 2.72–9.54). Compared to individuals who experienced a stroke without the infection, patients with COVID-19 and stroke were younger (pooled median difference = −6.0 years; 95%CI: −12.3 to −1.4), had higher NIHSS (pooled median difference = 5; 95%CI: 3–9), higher frequency of large vessel occlusion (OR = 2.73; 95%CI: 1.63–4.57), and higher in-hospital mortality rate (OR = 5.21; 95%CI: 3.43–7.90). Conclusions Acute cerebrovascular diseases are not uncommon in patients with COVID-19, especially in those whom are severely infected and have pre-existing vascular risk factors. The pattern of large vessel occlusion and multi-territory infarcts suggests that cerebral thrombosis and/or thromboembolism could be possible causative pathways for the disease.

scholarly journals Glucose- and glycaemic factor-lowering effects of probiotics on diabetes: a meta-analysis of randomised placebo-controlled trials

2016 ◽  
Vol 115 (7) ◽  
pp. 1167-1177 ◽  
Author(s):  
Jing Sun ◽  
Nicholas J. Buys
Keyword(s):  
Risk Factors ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Mean Difference ◽  
Controlled Trials ◽  
Model Assessment ◽  
Related Factors ◽  
Evidence Database ◽  
Associated Risk Factors

AbstractThis meta-analysis examined the effect of probiotics on glucose and glycaemic factors in diabetes and its associated risk factors. All randomised-controlled trials published in English in multiple databases from January 2000 to June 2015 were systematically searched. Only studies that addressed glucose- and glycaemic-related factors as outcome variables were included. The main outcomes of interest in trials were mean changes in glucose, HbA1c, insulin and homoeostasis model assessment-estimated insulin resistance (HOMA-IR). Using the Physiotherapy Evidence Database (PEDro) scale to assess the quality of studies, a total of eleven studies with 614 subjects were included. The pooled mean difference and effect size with a 95 % CI were extracted using a random-effect model. It was found that there are statistically significant pooled mean differences between the probiotics and the placebo-controlled groups on the reduction of glucose (−0·52 mmol/l, 95 % CI −0·92, −0·11 mmol/l; P=0·01) and HbA1c (−0·32 %, 95 % CI −0·57, −0·07 %; P=0·01). There was no statistically significant pooled mean difference between the probiotics and the placebo-controlled groups on the reduction of insulin (−0·48 µIU/ml, 95 % CI −1·34, 0·38 µIU/ml; P=0·27) and HOMA-IR (pooled effect of –0·44, 95 % CI −1·57, 0·70; P=0·45). Meta-regression analysis identified that probiotics had significant effects on reduction of glucose, HbA1c, insulin and HOMA-IR in participants with diabetes, but not in participants with other risk factors. The present meta-analysis suggested that probiotics may be used as an important dietary supplement in reducing the glucose metabolic factors associated with diabetes.

scholarly journals Symptomatology of COVID-19 - Lessons from a meta-analysis across 13 countries

2021 ◽  
Vol 12 (11) ◽  
pp. 3-15
Author(s):  
Champika Saman Kumara Gamakaranage ◽  
Dineshani Hettiarachchi ◽  
Dileepa Ediriweera ◽  
Saroj Jayasinghe
Keyword(s):  
Meta Analysis ◽  
Random Effect ◽  
Clinical Manifestations ◽  
Analysis Data ◽  
Data Sources ◽  
Data Abstraction ◽  
Eligibility Criteria ◽  
Cross Sectional ◽  
Altered Level ◽  
Comprehensive Picture

Background: COVID-19 pandemic has resulted in varying clinical manifestations and mortality rates. There is no consensus on the symptomatology that would guide researchers and clinicians. Aims and Objectives: The objective was to identify symptoms and their frequencies of COVID-19 with a meta-analysis of studies from several countries. Materials and Methods: Data sources: A systematic review using PubMed and Google Scholar data sources and reference tracing were used to identify 7176 articles. Eligibility criteria: Suitable articles were selected manually with selection criteria and 14 original articles included in meta-analysis. Data abstraction and analysis: PRISMA guidelines used for data abstraction and a table was generated by feeding it with numbers and proportions of each symptom described. A meta-analysis was carried out using random effect models on each symptom separately across the studies and their prevalence rates and 95% confident intervals were calculated. Results: Selected 14 studies, either cross-sectional or cohort studies are analyzed. There were 2,660 confirmed cases of COVID-19. The majority were from China (n=2,439, 91.7%) and remainder from the Netherlands, Italy, Korea, and India and one article from Europe. There were a total of 32 symptoms identified from the meta-analysis and additional 7 symptoms were identified from reference searching. The most common symptoms were (prevalence >50%): fever (79.56%, 95% CI: 72.17–86.09%), malaise (63.3%, 95% CI: 53.1–73.0%), cough (56.7%, 95% CI: 48.6–64.6%), and cold (55.6%, 95% CI: 45.2–65.7%). Symptoms of intermediate incidence (5–49%) were anosmia, sneezing, ocular pain, fatigue, sputum production, arthralgia, tachypnea, palpitation, headache, chest tightness, shortness of breath, chills, myalgia, sore throat, anorexia, weakness, diarrhea, rhinorrhea, dizziness, nausea, altered level of consciousness, vomiting, and abdominal pain. Rare symptoms (<5%): tonsil swelling, hemoptysis, conjunctival injection, lymphadenopathy, and rash. Conclusion: We found (25/32, from meta-analysis) symptoms to be present in ≥5% of cases which could be considered as “typical” symptoms of COVID-19. The list of symptoms we identified is different from those documents released by the WHO, CDC, NHS, Chinese CDC, Institute Pasteur and Mayo Clinic. The compiled list would be useful for future researchers to document a comprehensive picture of the illness.

scholarly journals The relationship of COVID-19 severity with cardiovascular disease and its traditional risk factors: A systematic review and meta-analysis

2020 ◽  
Author(s):  
Kunihiro Matsushita ◽  
Ning Ding ◽  
Minghao Kou ◽  
Xiao Hu ◽  
Mengkun Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Cardiovascular Disease ◽  
Meta Analysis ◽  
Multivariable Analysis ◽  
Renin Angiotensin System ◽  
Regression Analyses ◽  
Male Sex ◽  
Meta Regression ◽  
Traditional Risk Factors

AbstractBackgroundWhether cardiovascular disease (CVD) and its traditional risk factors predict severe coronavirus disease 2019 (COVID-19) is uncertain, in part, because of potential confounding by age and sex.MethodsWe performed a systematic review of studies that explored pre-existing CVD and its traditional risk factors as risk factors of severe COVID-19 (defined as death, acute respiratory distress syndrome, mechanical ventilation, or intensive care unit admission). We searched PubMed and Embase for papers in English with original data (≥10 cases of severe COVID-19). Using random-effects models, we pooled relative risk (RR) estimates and conducted meta-regression analyses.ResultsOf the 661 publications identified in our search, 25 papers met our inclusion criteria, with 76,638 COVID-19 patients including 11,766 severe cases. Older age was consistently associated with severe COVID-19 in all eight eligible studies, with RR >∼5 in >60-65 vs. <50 years. Three studies showed no change in the RR of age after adjusting for covariate(s). In univariate analyses, factors robustly associated with severe COVID-19 were male sex (10 studies; pooled RR=1.73, [95%CI 1.50-2.01]), hypertension (8 studies; 2.87 [2.09-3.93]), diabetes (9 studies; 3.20 [2.26-4.53]), and CVD (10 studies; 4.97 [3.76-6.58]). RR for male sex was likely to be independent of age. For the other three factors, meta-regression analyses suggested confounding by age. Only four studies reported multivariable analysis, but most of them showed adjusted RR ∼2 for hypertension, diabetes, and CVD. No study explored renin-angiotensin system inhibitors as a risk factor for severe COVID-19.ConclusionsDespite the potential for confounding, these results suggest that hypertension, diabetes, and CVD are independently associated with severe COVID-19 and, together with age and male sex, can be used to inform objective decisions on COVID-19 testing, clinical management, and workforce planning.

scholarly journals Summarising and synthesising regression coefficients through systematic review and meta-analysis for improving hypertension prediction using metamodelling: protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. e036388
Author(s):  
Mohammad Ziaul Islam Chowdhury ◽  
Iffat Naeem ◽  
Hude Quan ◽  
Alexander A Leung ◽  
Khokan C Sikdar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Risk Prediction ◽  
Prediction Models ◽  
Assessment Tool ◽  
Meta Analysis ◽  
Grey Literature ◽  
Random Effect ◽  
Regression Coefficients ◽  
Risk Prediction Models

IntroductionHypertension is one of the most common medical conditions and represents a major risk factor for heart attack, stroke, kidney disease and mortality. The risk of progression to hypertension depends on several factors, and combining these risk factors into a multivariable model for risk stratification would help to identify high-risk individuals who should be targeted for healthy behavioural changes and/or medical treatment to prevent the development of hypertension. The risk prediction models can be further improved in terms of accuracy by using a metamodel updating technique where existing hypertension prediction models can be updated by combining information available in existing models with new data. A systematic review and meta-analysis will be performed of hypertension prediction models in order to identify known risk factors for high blood pressure and to summarise the magnitude of their association with hypertension.Methods and analysisMEDLINE, Embase, Web of Science, Scopus and grey literature will be systematically searched for studies predicting the risk of hypertension among the general population. The search will be based on two key concepts: hypertension and risk prediction. The summary statistics from the individual studies will be the regression coefficients of the hypertension risk prediction models, and random-effect meta-analysis will be used to obtain pooled estimates. Heterogeneity and publication bias will be assessed, along with study quality, which will be assessed using the Prediction Model Risk of Bias Assessment Tool checklist.Ethics and disseminationEthics approval is not required for this systematic review and meta-analysis. We plan to disseminate the results of our review through journal publications and presentations at applicable platforms.

A systematic and meta-analysis study on the prevalence of tuberculosis and relative risk factors for prisoners in Iran

2021 ◽  
Vol 21 ◽  
Author(s):  
Sedigheh Taherpour ◽  
Mojtaba Mousavi Bazzaz ◽  
Hamidreza Naderi ◽  
Saeed Samarghandian ◽  
Alireza Amirabadizadeh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Random Model ◽  
Health Interventions ◽  
P Value ◽  
Analysis Study ◽  
Effect Model ◽  
Related Risk

Introduction: This study aimed to evaluate the incidence of Tuberculosis (TB) among prisoners in Iran, by performing a systematic and meta-analysis study on the related articles. Methodology: Scopus, Iran doc, Cochrane, Pubmed, Medline, Embase and Iran Medex, Magiran, SID, Google Scholar, and EBSCO were searched. After quality assessment of the articles, a fixed or random model, as appropriate, was used to pool the results in a meta-analysis. Heterogeneity between the studies was assessed using I-square and Q-test. Results: The overall sample size of included studies was 19562 that 64 of them were with TB. The highest prevalence of tuberculosis was related to the study of Rasht, 517 in 100,000 but the lowest rate was related to the study of Sought Khorasan, 25 in 100,000. The ES of the random effect model is 0.003 (95% CI, 0.001-0.005) and p-value <0.0001. The Higgins’ I2 of all studies is 86.55%, and the p-value of the Cochrane Q statistics is <0.001, indicating that there is heterogeneity. Based on the Egger regression plot (t=2.18, p = 0.08, CI 95%: -0.001, 0.005) no publication bias existed. Conclusion: The frequency of TB among the prisoners in Iran was low. Due to important limitations in this study, it is not possible to indicate the exact prevalence of TB among prisoners in Iran and compare this with the general population. More studies are needed to assess the related risk factor for designing health interventions plan to decrease the incidence rate of TB among prisoners.

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