Gender of infant and risk of postpartum depression: a meta-analysis based on cohort and case-control studies.

BACKGROUND: It is inconclusive nowadays for the association between infant's gender and their mothers' risk of developing postpartum depression (PPD). In addition, a complete overview is missing. A meta-analysis of cohort and case-control studies was performed to address the question of whether women who gave birth to a female infant were at an increased risk of developing PPD, compared with those giving birth to a male infant. METHODS: Unrestricted searches were conducted, with an end date parameter of 31 January 2018, of PubMed, Embase, Google Scholar, Cochrane Libraries, and Chinese databases, to identify studies that met pre-stated inclusion criteria. Reference lists of retrieved articles were also reviewed. Either a fixed- or a random-effects model was used to calculate the overall combined risk estimates. RESULTS: Twenty-three studies involving 119,736 women were included for analysis. Overall, mothers who gave birth to a female infant experienced a significantly increased risk of developing PPD compared with the reference group (OR = 1.15, 95%CI: 1.01-1.31; p = .03). However, substantial heterogeneity (p < .00001; I2 = 75%) was observed across studies. Relevant heterogeneity moderators have been identified by subgroup analysis. Sensitivity analysis yielded consistent results. No evidence of publication bias was observed. CONCLUSIONS: Although the role of potential bias and evidence of heterogeneity should be carefully evaluated, the present study suggests women giving birth to a girl are associated with a higher risk of developing PPD when compared with those giving birth to a boy. Improving family and social communication and reducing gender preference should be important components of any such interventions.Statement of significanceProblem or issue Interestingly, the known risk factors leading to PPD are basically the same in different regions and cultures, but the gender of the infant seems to be an exception.What is already known Some studies conducted in traditional western countries indicated that there is a weak or null association between infant's gender and risk of PPD, while others suggested a positive association. In contrast, studies conducted in Nigeria, India, Turkey and China showed that mothers giving birth to a female infant were at a higher risk of developing PPD.What this paper adds Today, the association between infant's gender and risk of developing postpartum depression (PPD) is still uncertain; additionally, a complete overview is missing. Our study represents the first meta-analysis of risk of PPD associated with infant's gender.

Chronic liver disease not a significant comorbid condition for COVID-19.

To explore the role of chronic liver disease (CLD) in COVID-19. A total of 1439 consecutively hospitalized patients with COVID-19 from one large medical center in the United States from March 16, 2020 to April 23, 2020 were retrospectively identified. Clinical characteristics and outcomes were compared between patients with and without CLD. Postmortem examination of liver in 8 critically ill COVID-19 patients was performed. There was no significant difference in the incidence of CLD between critical and non-critical groups (4.1% vs 2.9%, p = 0.259), or COVID-19 related liver injury between patients with and without CLD (65.7% vs 49.7%, p = 0.065). Postmortem examination of liver demonstrated mild liver injury associated central vein outflow obstruction and minimal to moderate portal lymphocytic infiltrate without evidence of CLD. Patients with CLD were not associated with a higher risk of liver injury or critical/fatal outcomes. CLD was not a significant comorbid condition for COVID-19.

Rates, predictors, and mortality of sepsis-associated acute kidney injury: a systematic review and meta-analysis.

BACKGROUND: Due to the high incidence and mortality of sepsis-associated acute kidney injury, a significant number of studies have explored the causes of sepsis-associated acute kidney injury (AKI). However, the opinions on relevant predictive risk factors remain inconclusive. This study aimed to provide a systematic review and meta-analysis to determine the predisposing factors for sepsis-associated AKI. METHOD: A systematic literature search was performed in the Medline, Embase, Cochrane Library, PubMed, and Web of Science, databases, with an end-date of 25th May 2019. Valid data were retrieved in compliance with specific inclusion and exclusion criteria. RESULT: Forty-seven observational studies were included for analysis, achieving a cumulative patient number of 55,911. The highest incidence of AKI was caused by septic shock. Thirty-one potential risk factors were included in the meta-analysis. Analysis showed that 20 factors were statistically significant. The odds ratio (OR) and 95% confidence interval (CI), as well as the prevalence of the most frequently-seen predisposing factors for sepsis-associated AKI, were as follows: septic shock [2.88 (2.36-3.52), 60.47%], hypertension [1.43 (1.20-1.70), 38.39%], diabetes mellitus [1.59 (1.47-1.71), 27.57%], abdominal infection [1.44 (1.32-1.58), 30.87%], the administration of vasopressors [2.95 (1.67-5.22), 64.61%], the administration of vasoactive drugs [3.85 (1.89-7.87), 63.22%], mechanical ventilation [1.64 (1.24-2.16), 68.00%], positive results from blood culture [1.60 (1.35-1.89), 41.19%], and a history of smoking [1.60 (1.09-2.36), 43.09%]. Other risk factors included cardiovascular diseases, coronary artery diseases, liver diseases, unknown infections, the administration of diuretics and ACEI/ARB, the infection caused by gram-negative bacteria, and organ transplantation. CONCLUSION: Risk factors of S-AKI arise from a wide range of sources, making it difficult to predict and prevent this condition. Comorbidities, and certain drugs, are the main risk factors for S-AKI. Our review can provide guidance on the application of interventions to reduce the risks associated with sepsis-associated acute kidney injury and can also be used to tailor patient-specific treatment plans and management strategies in clinical practice.

Parental smoking and the risk of congenital heart defects in offspring: An updated meta-analysis of observational studies.

OBJECTIVE: Although previous reviews confirmed maternal active smoking was significantly associated with risk of fetal congenital heart defects (CHDs), association between maternal passive smoking and paternal smoking and risk of CHDs is inconclusive nowadays; furthermore, a complete overview is lacking. A meta-analysis of observational studies was conducted to assess the risk of CHDs associated with maternal active and passive smoking and paternal smoking. METHODS: Seven electronic databases were searched for qualified research up to June 2018. We summarized study characteristics and the summary risk estimates were calculated using either the random-effect model or fixed-effect model. Sensitivity and subgroup analysis were carried out to identify the potential heterogeneity moderators. RESULTS: One hundred and twenty-five studies involving 137,574 CHDs cases in 8,770,837 study participants were included. Overall, maternal active (risk ratio (RR) = 1.25; 95% confidence interval (CI): 1.16-1.34; p < 0.01) and passive (RR = 2.24, 95% CI: 1.81-2.77; p < 0.01) smoking as well as paternal active smoking (RR = 1.74, 95% CI: 1.48-2.06; p < 0.01) were significantly associated with CHDs risk. For specific CHD subtypes, our study showed that maternal active smoking was significantly associated with risk of atrial septal defect (RR = 1.27, 95% CI: 1.02-1.59; p = 0.03) and right ventricular outflow tract obstruction (RR = 1.43, 95% CI: 1.04-1.97; p = 0.03). Relevant heterogeneity moderators have been identified by subgroup analysis. Sensitivity analysis yielded consistent results. CONCLUSION: Maternal active smoking, maternal passive smoking as well as paternal smoking all increased the risk of CHDs in offspring. Preventing parental smoking during peri-pregnancy is a priority for CHDs prevention.

Parental alcohol consumption and the risk of congenital heart diseases in offspring: An updated systematic review and meta-analysis.

OBJECTIVE: The aim of this study was to provide updated evidence to assess the association between parental alcohol consumption and the risk of total congenital heart diseases (CHDs) and specific CHD phenotypes in offspring, and explore the possible dose-response pattern. METHODS: PubMed, Embase and Chinese databases were searched with an end-date parameter of July 24, 2019 to identify studies meeting pre-stated inclusion criteria. A random-effects model was used to calculate the overall combined risk estimates. A meta-analysis of the dose-response relationship was performed. Subgroup analysis, sensitivity analysis, and Galbraith plot were conducted to explore potential heterogeneity moderators. RESULTS: A total of 55 studies involving 41,747 CHD cases and 297,587 controls were identified. Overall, both maternal (odds ratio (OR) = 1.16; 95% confidence interval (CI): 1.05-1.27) and paternal (OR = 1.44; 95% CI: 1.19-1.74) alcohol exposures were significantly associated with risk of total CHDs in offspring. Additionally, a nonlinear dose-response relationship between parental alcohol exposure and risk of total CHDs was observed. With an increase in parental alcohol consumption, the risk of total CHDs in offspring also gradually increases. For specific CHD phenotypes, a statistically significant association was found between maternal alcohol consumption and risk of tetralogy of fallot (OR = 1.20; 95% CI: 1.08-1.33). Relevant heterogeneity moderators have been identified by subgroup analysis, and sensitivity analysis yielded consistent results. CONCLUSIONS: Although the role of potential bias and evidence of heterogeneity should be carefully evaluated, our review indicates that parental alcohol exposures are significantly associated with the risk of CHDs in offspring, which highlights the necessity of improving health awareness to prevent alcohol exposure during preconception and conception periods.

Risk of congenital heart defects in offspring exposed to maternal diabetes mellitus: an updated systematic review and meta-analysis.

PURPOSE: A systematic review and meta-analysis was performed to assess the risk of congenital heart defects (CHDs) and its specific phenotypes associated with maternal diabetes mellitus (DM) including pregestational diabetes mellitus (PGDM) and gestational diabetes mellitus (GDM). METHODS: PubMed, Embase, Medline, Google Scholar, Cochrane Libraries, China National Knowledge Infrastructure, Wanfang Database, Chinese Scientific Journals Fulltext Database and China Biology Medicine disc were searched from the inception dates to 15 December 2018, to identify case-control or cohort studies assessing the association between maternal DM and risk of CHDs. The exposure of interest was maternal DM; the outcomes of interest were CHDs and its specific phenotypes. Either a fixed- or a random-effects model was used to calculate the overall combined risk estimates. Subgroup analyses were performed to explore potential heterogeneity moderators. RESULTS: Total 52 studies, which involved 259,917 patients with CHDs among 16,929,835 participants, were included for analysis. Overall, mothers with DM compared with those without DM had a significantly higher risk of CHDs in offspring [odds ratios (OR) = 2.71, 95% confidence intervals (CI) 2.28-3.23]. When data were restricted to different types of DM, a significantly increased risk of CHDs was observed among mothers with PGDM (OR = 3.18, 95% CI 2.77-3.65) and GDM (OR = 1.98, 95% CI 1.66-2.36). Our study suggested the risk of CHDs was significantly higher among mothers with PGDM than those with GDM. Additionally, this study suggested maternal DM was significantly associated with most phenotypes of CHDs; of these, double outlet of the right ventricle (OR = 10.89; 95% CI 8.77-13.53), atrioventricular septal defect (OR = 5.74; 95% CI 3.20-10.27) and truncus arteriosus (OR = 5.06; 95% CI 2.65-9.65) were identified as the first three of the most common phenotypes of CHDs associated with maternal DM. CONCLUSIONS: The maternal DM including PGDM and GDM are significantly associated with risk of CHDs and its most phenotypes. The PGDM seems to be more likely to cause CHDs in offspring than GDM. Further studies are needed to clarify the underlying mechanisms.

Congenital Heart Disease and Risk of Cardiovascular Disease: A Meta-Analysis of Cohort Studies.

Background Despite remarkable success in the surgical and medical management of congenital heart disease ( CHD ), some survivors still experience cardiovascular complications over the long term. The goal of this study was to evaluate the association between CHD and risk of cardiovascular disease ( CVD ) by conducting a meta-analysis of cohort studies. Methods and Results A systematic literature search of several databases was conducted through April 2018 to identify studies reporting the risk of CVD , stroke, heart failure, and coronary artery heart disease in CHD survivors. The quality of individual studies was assessed using the Newcastle-Ottawa scale. The overall risk estimates were pooled using fixed-effects meta-analysis. Subgroup analyses were performed to explore possible sources of heterogeneity. Nine cohort studies comprising 684 200 participants were included. The overall combined relative risks for people with CHD compared with the controls were 3.12 (95% CI, 3.01-3.24) for CVD , 2.46 (95% CI, 2.30-2.63) for stroke, 5.89 (95% CI, 5.58-6.21) for heart failure, and 1.50 (95% CI, 1.40-1.61) for coronary artery heart disease. Significant heterogeneity was detected across studies regarding these risk estimates. Heterogeneity in the risk estimate of CVD was explained by geographic region, type of study design, sample source, age composition, and controlled confounders. Conclusions This meta-analysis of cohort studies of CHD found an association of increased risk of CVD in later life, although we cannot determine whether this association is confounded by a risk factor profile of CVD among CHD survivors or whether CHD is an independent risk factor.

Maternal Viral Infection and Risk of Fetal Congenital Heart Diseases: A Meta-Analysis of Observational Studies.

Background At present, the association between maternal viral infection and risk of congenital heart diseases ( CHD ) in offspring is uncertain; additionally, a complete overview is missing. A meta-analysis of observational studies was performed to address the question of whether women who had a history of viral infection in early pregnancy were at an increased risk of CHD in offspring, compared with mothers without viral infection. Methods and Results Unrestricted searches were conducted, with an end date parameter of July 15, 2018, of PubMed, Embase, Google Scholar, Cochrane Libraries, and Chinese databases, to identify studies that met prestated inclusion criteria. Seventeen case-control studies involving 67 233 women were included for analysis. Both fixed-effects models (odds ratio [OR], 1.83; 95% CI , 1.58-2.12; P<0.0001) and random-effects models ( OR , 2.28; 95% CI , 1.54-3.36; P<0.0001) suggested that mothers who had a history of viral infection in early pregnancy experienced a significantly increased risk of developing CHD in offspring. For specific viral infections, the risk of developing CHD in offspring was significantly increased among mothers with rubella virus (OR, 3.49, 95% CI, 2.39-5.11 in fixed-effects models; and OR, 3.54; 95% CI, 1.75-7.15 in random-effects models) and cytomegalovirus (OR, 3.95; 95% CI, 1.87-8.36 in fixed-effects models) in early pregnancy; however, other maternal viral infections in early pregnancy were not significantly associated with risk of CHD in offspring. Sensitivity analysis yielded consistent results. No evidence of publication bias was observed. Conclusions Although the role of potential bias and evidence of heterogeneity should be carefully evaluated, the present study suggests that maternal viral infection is significantly associated with risk of CHD in offspring.

Maternal violence experiences and risk of postpartum depression: A meta-analysis of cohort studies.

BACKGROUND: Most of original studies indicated maternal violence experiences is associated with adverse obstetric outcomes, to date, but it is not clear that the association of maternal violence experiences and the risk of postpartum depression (PPD). We aimed to assess the association between maternal violence experiences and risk of developing PPD by performing a meta-analysis of cohort studies. METHODS: PubMed, Google Scholar, Cochrane Libraries and Chinese databases were searched through December 2017 to identify studies that assessed the association between violence and PPD. Meta-analysis was conducted by the RevMan software and Stata software. Potential heterogeneity source was explored by subgroup analysis and potential publication bias was assessed by Begg's funnel plots and Egger's linear regression test. RESULTS: Overall, women experiencing any violence events compared with the reference group were at a higher risk of developing PPD (odds ratio [OR] = 2.04; 95% confidence interval [CI]: 1.72-2.41). Additionally, different types of violence events such as sexual (OR = 1.56; 95%CI: 1.35-1.81), emotional (OR = 1.75; 95%CI: 1.61-1.89), and physical violence (OR = 1.90; 95%CI: 1.36-2.67), as well as domestic (OR = 2.05; 95%CI: 1.50-2.80) or childhood violence (OR = 1.59; 95%CI: 1.34-1.88) also increased the risk of developing PPD. Relevant heterogeneity moderators have been identified by subgroup analysis. Sensitivity analysis yielded consistent results. CONCLUSIONS: Maternal violence experiences are significantly associated with risk of developing PPD. These finding highlight the necessary to protect women from any types of violence and formulate preventive strategies to promote the maternal mental health.

Cancer risk among children conceived by fertility treatment.

Prior studies on the association between fertility treatment and childhood cancer risk have generated inconsistent results. We performed a systematic review and meta-analysis of observation studies to summarize the evidence regarding the relation of fertility treatment with childhood cancer risk. A systematic literature search of several databases was conducted through April 2018 to identify relevant studies. The outcomes of interest included overall cancer, haematological malignancies, neural tumours, other solid tumours, and eight specific cancers. The overall risk estimates and corresponding 95% confidence intervals (CIs) were pooled using random-effects meta-analysis. Sixteen cohort and thirteen case-control studies were included. Results showed that children conceived by fertility treatment had significantly higher risk for developing overall cancer (relative risk [RR]: 1.16, 95% CI: 1.01, 1.32), haematological malignancies (RR: 1.39, 95% CI: 1.21, 1.60) and other solid tumours (RR: 1.57, 95% CI: 1.14, 2.16). For specific cancers, fertility treatment was associated with a significantly increased risk of leukaemia (RR: 1.31, 95% CI: 1.09, 1.57) and hepatic tumours (RR: 2.26, 95% CI: 1.32, 3.85). Sensitivity analysis validated evidence of the robustness of the findings. The results may demonstrate a possible association between fertility treatment and an increased risk of cancer among the offspring. However, the findings cannot say whether this increased risk is due to the subfertility itself or to the fertility treatment. Further research is needed to address the underlying mechanisms.

[Influential factors of inpatient care among residents in Shanghai].

OBJECTIVE: To analyze the influential factors for inpatient care among residents in Shanghai and to provide evidence for health policy.
 Methods: Data were obtained from the Fifth National Health Services Survey, the independent variables were selected based on the framework of Andersen Model, and the two models were used to analyze the determinants-relevant hospitalization probability and the cost among residents in Shanghai.
 Results: The hospitalization rate among permanent residents over 18 years old was 6.1% in 2013 in Shanghai. For the hospitalized population, its average expenses (median) were 10 000.00 yuan. Gender, age, education, marriage, smoking, drinking, exercise, the travel time, family annual income, Engel coefficient and the number of chronic diseases were the determinants of hospitalization probability. Gender, age, smoking, drinking, exercise, Engel coefficient, medicaid and level of medical institution were the influential factors for the hospitalization costs.
 Conclusion: The utilization of inpatient care among residents in Shanghai is determined by many factors. Thus, the corresponding health policies should be formulated for different populations.

[An investigation on the prevalence of internet addiction disorder in middle school students of Hunan province].

OBJECTIVE: To study the prevalence of internet addiction disorder (IAD) in middle school students of Hunan and to explore its risk factors. METHODS: 5760 middle school students and their parents were sampled at random in Hunan province using two-stage sampling (stratified sampling and cluster sampling) method. The ten-item diagnosis tool for IAD, self-rating depression scale, self-rating anxiety scale, interpersonal sensitivity subscale of symptom checklist, family assessment device, parenting locus of control scale, and self-developed questionnaire were employed together to gather related data. 95% confidence interval (CI) was used to describe the prevalence of IAD. Chi-square and logistic regression tests were employed respectively to compare the differences of IAD prevalence among different subpopulations and to explore the possible influential factors. RESULTS: The overall prevalence of IAD in middle school students of Hunan was 5.52%, with 95% CI as 4.84-6.20. IAD prevalence rates between males and females, being or not being monitored in the class and among different grades, showed significant differences (P < 0.05). No statistical difference was found between single child or having siblings in the family, being at key middle school or ordinary middle school, or within residential areas, (P > 0.05). Gender, tired of going to school, anxiety, interpersonal sensitivity, peer influence in haunting at internet bars, father's education level, the number of recreational settings in the community etc. were the influencing factors of IAD, with ORs as 0.281, 3.469, 2.318, 1.710, 1.877, 1.456, 1.273 and 0.726 respectively (P < 0.10). CONCLUSION: The prevalence of IAD in middle school students of Hunan was moderate compared to the reported prevalence rates in other provinces. Gender and peer influence in haunting at internet bars and other 6 factors were suggested to be correlated with IAD events.

[Development and evaluation of quality of life scale for patients with type 2 diabetes mellitus].

OBJECTIVE: To develop a specific quality of life scale for Chinese Type 2 diabetes mellitus (DM) patients. METHODS: According to the quality of life definition of WHO, we used methods adhered to the rigorous guidelines of instrument development in item pool formation, item selection and scale validation with the data of 236 Type 2 diabetic patients recruited. RESULTS: An 87-item Quality of Life Scale for patients with Type 2 DM-prior test version ( DMQLS), including 5 domains ( disease, physical, social, psychological, and satisfaction ) was developed and showed good reliability and validity. The disease domain made up of Type 2 diabetes mellitus-specific sub-scale and the other 4 domains formed the generic sub-scale for adults. The test-retest correlation coefficient, Cronbach's Alpha coefficient and split-half reliability coefficient of DMQLS were 0.996, 0.969 and 0.879, respectively. Twenty-one common factors were extracted according to the conceptual model. The scale's correlations with SF-36 and Diabetes Quality of Life Measure ( DQOL ) were 0.763 and 0.658. DMQLS could discriminate among those with different quality of lives. CONCLUSION: DMQLS is reliable, valid and sensitive, and can be used to evaluate the curative effect of Type 2 diabetic patients.