Performance evaluation of the Panbio COVID-19/Flu A&B Panel for detection of SARS-CoV-2, influenza A, and influenza B antigens using mid-turbinate nasal swabs.

The Panbio COVID-19/Flu A&B Panel (Abbott) is an in vitro diagnostic rapid test designed for the qualitative detection of nucleocapsid proteins SARS-CoV-2 and nucleoprotein influenza A and B antigens in nasal mid-turbinate (NMT) swab specimens from symptomatic individuals meeting COVID-19 and influenza clinical and/or epidemiological criteria. This study, the largest global one to date using fresh samples, aimed to assess the diagnostic sensitivity and specificity of the Panbio COVID-19/Flu A&B Panel in freshly collected NMT swab specimens from individuals suspected of respiratory viral infection consistent with COVID-19 and/or influenza within the first 5 days of symptom onset compared with results obtained with the cobas SARS-CoV-2 and influenza A/B qualitative assay (cobas 6800/8800 systems), which were tested using nasopharyngeal swab samples. A total of 512 evaluable subjects were enrolled in the COVID-19 cohort across 18 sites, and 1,148 evaluable subjects were enrolled in the influenza cohort across 22 sites in the Asia-Pacific, Europe, and the USA. The Panbio COVID-19/Flu A&B Panel demonstrated a sensitivity of 80.4% and a specificity of 99.7% for COVID-19. For influenza A, the sensitivity and specificity rates were 80.6% and 99.3%, respectively. Likewise, for influenza B, the sensitivity and specificity rates were 80.8% and 99.4%, respectively. In conclusion, the Panbio COVID-19/Flu A&B Panel emerges as a suitable rapid test for detecting COVID-19 and influenza in symptomatic subjects across diverse global populations, exhibiting high sensitivity. The assay achieved a sensitivity of 94.4% in samples with Ct ≤24 for COVID-19 and 92.6% in samples with Ct ≤30 for influenza A and B. IMPORTANCE: The Panbio COVID-19/Flu A&B Panel is a suitable rapid test for detecting COVID-19 and influenza in symptomatic subjects across diverse global populations, exhibiting high sensitivity. The assay achieved a sensitivity of 94.0% in samples with Ct ≤24 for COVID-19 and 92.6% in samples with Ct ≤30 for influenza A and B.

Deep-learning model to improve histological grading and predict upstaging of atypical ductal hyperplasia / ductal carcinoma in situ on breast biopsy.

AIMS: Risk stratification of atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS), diagnosed using breast biopsy, has great clinical significance. Clinical trials are currently exploring the possibility of active surveillance for low-risk lesions, whereas axillary lymph node staging may be considered during surgical planning for high-risk lesions. We aimed to develop a machine-learning algorithm based on whole-slide images of breast biopsy specimens and clinical information to predict the risk of upstaging to invasive breast cancer after wide excision. METHODS AND RESULTS: Patients diagnosed with ADH/DCIS on breast biopsy were included in this study, comprising 592 (740 slides) and 141 (198 slides) patients in the development and independent testing cohorts, respectively. Histological grading of the lesions was independently evaluated by two pathologists. Clinical information, including biopsy method, lesion size, and Breast Imaging Reporting and Data System (BI-RADS) classification of ultrasound and mammograms, were collected. Deep DCIS consisted of three deep neural networks to evaluate nuclear grade, necrosis, and stromal reactivity. Deep DCIS output comprised five parameters: total patches, lesion extent, Deep Grade, Deep Necrosis, and Deep Stroma. Deep DCIS highly correlated with the pathologists' evaluations of both slide- and patient-level labels. All five parameters of Deep DCIS were significantly associated with upstaging to invasive carcinoma in subsequent wide excisional specimens. Using multivariate logistic regression, Deep DCIS predicted upstaging to invasive carcinoma with an area under the curve (AUC) of 0.81, outperforming pathologists' evaluation (AUC, 0.71 and 0.69). After including clinical and hormone receptor status information, performance further improved (AUC, 0.87). This combined model retained its predictive power in two subgroup analyses: the first subgroup included unequivocal DCIS (excluding cases of ADH and DCIS suspicious for microinvasion) (AUC, 0.83), while the second excluded cases of high-grade DCIS (AUC, 0.81). The model was validated in an independent testing cohort (AUC, 0.81). CONCLUSION: This study demonstrated that deep-learning models can refine histological evaluation of ADH and DCIS on breast biopsies, which may help guide future treatment planning.

Tenofovir alafenamide or tenofovir disoproxil fumarate in pregnancy to prevent HBV transmission: Maternal ALT trajectory and infant outcomes.

BACKGROUND: The use of antiviral agents, specifically tenofovir disoproxil fumarate (TDF), in pregnant women to prevent mother-to-child HBV transmission is a key step towards hepatitis elimination. However, data on using tenofovir alafenamide (TAF) is insufficient. The frequent occurrence of postpartum ALT flares may impact the clinical implementation. METHODS: The maternal and infant outcomes were compared in multi-centre trials of high viral load HBsAg/HBeAg+ pregnant women receiving TAF or TDF from the third trimester until 2 weeks postpartum with intensive follow-ups. To explore the dynamic pre- and postpartum changes in ALT levels, we used a group-based trajectory model for analysing data of 332 women from three prospective studies. RESULTS: After treatment, the maternal HBV DNA levels significantly decreased from baseline to delivery: 7.87 ± 0.59 to 3.99 ± 1.07 Log10 IU/mL TAF (n = 78) and 8.30 ± 0.36 to 4.47 ± 0.86 Log10 IU/mL (TDF, n = 53), with viral load reductions of 3.87 versus 3.83 Log10 IU/mL. The HBsAg-positive rates among 12-month-old infants were 1.28% (1/78) versus 1.82% (1/55) respectively (p = 1.00). Of the TAF or TDF-treated mothers, 25.64% versus 16.98% experienced ALT > 2X ULN, and 11.54% versus 1.89% received extended antiviral treatment. Our model revealed four distinct ALT patterns: stable ALT (87.2%), moderate (8.0%) or marked (2.4%) postpartum flares, or prepartum elevations (2.4%). CONCLUSIONS: TAF effectively reduces mother-to-child HBV transmission, but prophylaxis failure still occurred in few cases. Postpartum ALT flares are common in women receiving TAF or TDF during pregnancy. Approximately 12.8% of mothers may require extended postpartum antiviral treatment. CLINICAL TRIAL NUMBER: NCT03695029 (ClinicalTrials.gov).

Sex-Specific Left Ventricular and Aorta Size Cut-Off Values for Hemodynamically Significant Chronic Aortic Regurgitation　- Implications for Treatment in Asian Populations.

BACKGROUND: There are no sex-specific guidelines for chronic aortic regurgitation (AR). This retrospective study examined sex-specific differences and propose treatment criteria from an Asian AR cohort.Methods and Results: Consecutive 1,305 patients with moderate-severe AR or greater at 3 tertiary centers in Taiwan and Japan (2008-2022) were identified. Study endpoints were aortic valve surgery (AVS), all-cause death (ACD), and cardiovascular death (CVD). The median follow up was 3.9 years (interquartile range 1.3-7.1 years). Compared with men (n=968), women (n=337) were older, had more advanced symptoms, more comorbidities, larger indexed aorta size (iAortamax) and indexed left ventricular (LV) end-systolic dimension (LVESDi; P<0.001 for all). Symptomatic status was poorly correlated with the degree of LV remodeling in women (P≥0.18). Women received fewer AVS (P≤0.001) and men had better overall 10-year survival (P<0.01). Ten-year post-AVS survival (P=0.9) and the progression of LV remodeling were similar between sexes (P≥0.16). Multivariable determinants of ACD and CVD were age, advanced symptoms, iAortamax, LV ejection fraction (LVEF), LVESDi, LV end-systolic volume index (LVESVi), and Taiwanese ethnicity (all P<0.05), but not female sex (P≥0.05). AVS was associated with better survival (P<0.01). Adjusted LVEF, LVESDi, LVESVi, and iAortamaxcut-off values for ACD were 53%, 24.8 mm/m2, 44 mL/m2, and 25.5 mm/m2, respectively, in women and 52%, 23.4 mm/m2, 52 mL/m2, and 23.2 mm/m2, respectively, in men. CONCLUSIONS: Early detection and intervention using sex-specific cut-off values may improve survival in women with AR.

A family-based and mobile-assisted intervention for lifestyle behaviors in youths: A randomized controlled trial.

This randomized controlled trial was conducted to assess the effectiveness of a family-based and mobile-assisted lifestyle intervention in reducing weight gain among school-age children with overweight and obesity. A total of 164 school-age children with overweight or obesity and their parents were randomized to the treatment intervention (n = 82) or an attention-control group (n = 82). The treatment intervention included three face-to-face education sessions, augmented by monthly text messages sent to parents on their mobile devices. The primary outcome was child BMI-for-age z-score. Secondary outcomes included child BMI, percent body fat, and actigraphy-assessed sleep as well as parental sleep quality. Outcomes were assessed at baseline, 3, 6, and 12 months after the intervention, with treatment effects analyzed using general linear models for repeated measures. Our results showed that children in the treatment intervention group had significantly lower BMI-for-age z score, BMI, and percent body fat than did those in the control group, with an adjusted mean difference of 0.31 units (95% CI: -0.59 to -0.03; p = 0.03), 1.34 kg/m² (95% CI, -2.42 to -0.26; p = 0.01), and 3.12% (95% CI, -5.93 to -0.30; p = 0.03), respectively. No treatment effects were observed for child and parental sleep. Our findings suggest that family-based and mobile-assisted lifestyle intervention results in significant and sustained benefits to enhanced weight management for school-age children with overweight and obesity. Nurses planning and delivering childhood overweight and obesity treatment interventions should consider a family-based approach with the assistance of mobile devices.

Sleep disturbance associations between parents and children with overweight and obesity.

This cross-sectional study examined sleep disturbance associations between parents and their school-age children with overweight and obesity. A 7-day wrist-worn actigraph recording was performed on 246 children aged 6-9 years with overweight and obesity recruited from 10 public elementary schools in Taipei, Taiwan. Children's sleep disturbance was assessed using the Children's Sleep Habits Questionnaire. Parental subjective sleep quality was assessed using the Pittsburgh Sleep Quality Index, with parental depressive symptoms measured using the Epidemiologic Studies-Depression Scale. General linear models were used to examine sleep disturbance associations within parent-child dyads. The results showed that 208 (84.6%) children had a clinically significant sleep disturbance score, and 123 (50%) parents had poor sleep quality. Higher children's sleep disturbance scores significantly predicted poorer parental sleep quality (b = 0.11, p < 0.001). Poorer parental sleep quality was associated with more severe sleep disturbances in children (b = 0.46, p < 0.001). This association was independent of children's actigraphic sleep (all p > 0.05) and was not attenuated by adjustment for parental depressive symptoms (b = 0.14, p < 0.001). Findings from our study suggest that sleep disturbances occur in both parents and their school-age children with overweight and obesity, with a significant bidirectional association between the two. Nurses and healthcare professionals should proactively assess and screen for sleep disturbances in parent-child dyads of children with overweight and obesity. Future studies should develop family-based sleep interventions and evaluate their effects on the sleep, health, and well-being of children with overweight and obesity and their parents.

Five-year follow-up of a clinic-based sleep intervention for paediatric epilepsy: A randomized clinical trial.

Sleep disturbances in children with epilepsy are prevalent, and are associated with substantial adverse medical and psychosocial consequences. This study is a 5-year follow-up of a clinic-based sleep intervention study that randomized 100 toddlers and preschool-age children with epilepsy to a usual care group or a sleep intervention group. The intervention group received standard paediatric neurology care plus three education sessions during the child's routine clinic visit. The outcomes measured were: (1) child sleep by actigraphy and parental report; and (2) maternal sleep and depression. We aimed to evaluate the long-term benefits of a clinic-based sleep intervention for paediatric epilepsy. In total, 42 families (42.0%) participated. The average child's age at follow-up was 9.55 years. Thirty-eight (90.5%) children were not obtaining sufficient sleep at baseline, and 40 (95.2%) at the 5-year follow-up. The numbers of children with clinically significant sleep disturbances were 40 (95.2%) at baseline and 36 (85.7%) at the 5-year follow-up. Fourteen mothers (33.3%) had poor sleep quality and high depressive symptoms at both assessment time points. There were no differences (P > 0.05) in the child and maternal outcomes between the two trial arms. Overall, there was no evidence that a clinic-based sleep intervention that effectively improved multiple aspects of sleep in toddlers and preschool-age children with epilepsy had long-lasting beneficial effects. Our findings suggest that sleep interventions for families of children with epilepsy require ongoing reinforcement and monitoring during routine paediatric neurology care to prevent sleep problems from persisting or recurring.

Comparative Efficacy of Pharmacological Treatments for Acne Vulgaris: A Network Meta-Analysis of 221 Randomized Controlled Trials.

PURPOSE: Acne is an extremely common skin disease with an estimated global prevalence of 9.4%. We aim to provide comprehensive comparisons of the common pharmacological treatments for acne. METHODS: Randomized controlled trials comparing the efficacy of pharmacological therapies for acne vulgaris in patients of any age and sex and with a treatment duration of >2 weeks were included. PubMed and Embase databases were searched from inception until February 2022. Our prespecified primary end points were mean percentage reduction in total, inflammatory, and noninflammatory lesions. Treatment ranking was determined by P values. RESULTS: There were 210 articles describing 221 trials and 37 interventions included in the analysis. Our primary analysis of percentage reduction in total lesion count had 65,601 patients enrolled. Across all trials, the mean age was 20.4 years. The median duration of treatment was 12 weeks. The median total, inflammatory, and noninflammatory lesion counts were 72, 27, and 44, respectively. The most effective treatment was oral isotretinoin (mean difference [MD] = 48.41; P = 1.00), followed by triple therapy containing a topical antibiotic, a topical retinoid, and benzoyl peroxide (BPO) (MD = 38.15; P = .95) and by triple therapy containing an oral antibiotic, a topical retinoid, and BPO (MD = 34.83; P = .90). For monotherapies, oral or topical antibiotics or topical retinoids have comparable efficacy for inflammatory lesions, while oral or topical antibiotics have less effect on noninflammatory lesions. CONCLUSION: The most effective treatment for acne is oral isotretinoin, followed by triple therapies containing a topical retinoid, BPO, and an antibiotic. We present detailed comparisons of each intervention to serve as a practical database.

Performance of the European Society of Cardiology 0/1-Hour, 0/2-Hour, and 0/3-Hour Algorithms for Rapid Triage of Acute Myocardial Infarction : An International Collaborative Meta-analysis.

BACKGROUND: The 2020 European Society of Cardiology (ESC) guidelines recommend using the 0/1-hour and 0/2-hour algorithms over the 0/3-hour algorithm as the first and second choices of high-sensitivity cardiac troponin (hs-cTn)-based strategies for triage of patients with suspected acute myocardial infarction (AMI). PURPOSE: To evaluate the diagnostic accuracies of the ESC 0/1-hour, 0/2-hour, and 0/3-hour algorithms. DATA SOURCES: PubMed, Embase, Cochrane Central Register of Controlled Trials, Web of Science, and Scopus from 1 January 2011 to 31 December 2020. (PROSPERO: CRD42020216479). STUDY SELECTION: Prospective studies that evaluated the ESC 0/1-hour, 0/2-hour, or 0/3-hour algorithms in adult patients presenting with suspected AMI. DATA EXTRACTION: The primary outcome was index AMI. Twenty unique cohorts were identified. Primary data were obtained from investigators of 16 cohorts and aggregate data were extracted from 4 cohorts. Two independent authors assessed each study for methodological quality. DATA SYNTHESIS: A total of 32 studies (20 cohorts) with 30 066 patients were analyzed. The 0/1-hour algorithm had a pooled sensitivity of 99.1% (95% CI, 98.5% to 99.5%) and negative predictive value (NPV) of 99.8% (CI, 99.6% to 99.9%) for ruling out AMI. The 0/2-hour algorithm had a pooled sensitivity of 98.6% (CI, 97.2% to 99.3%) and NPV of 99.6% (CI, 99.4% to 99.8%). The 0/3-hour algorithm had a pooled sensitivity of 93.7% (CI, 87.4% to 97.0%) and NPV of 98.7% (CI, 97.7% to 99.3%). Sensitivity of the 0/3-hour algorithm was attenuated in studies that did not use clinical criteria (GRACE score <140 and pain-free) compared with studies that used clinical criteria (90.2% [CI, 82.9 to 94.6] vs. 98.4% [CI, 88.6 to 99.8]). All 3 algorithms had similar specificities and positive predictive values for ruling in AMI, but heterogeneity across studies was substantial. Diagnostic performance was similar across the hs-cTnT (Elecsys; Roche), hs-cTnI (Architect; Abbott), and hs-cTnI (Centaur/Atellica; Siemens) assays. LIMITATION: Diagnostic accuracy, inclusion and exclusion criteria, and cardiac troponin sampling time varied among studies. CONCLUSION: The ESC 0/1-hour and 0/2-hour algorithms have higher sensitivities and NPVs than the 0/3-hour algorithm for index AMI. PRIMARY FUNDING SOURCE: National Taiwan University Hospital.

Correction: Effect of Telehealth Services on Mitral and Tricuspid Regurgitation Progression: Retrospective Study.

[This corrects the article DOI: 10.2196/47947.].

Effect of Telehealth Services on Mitral and Tricuspid Regurgitation Progression: Retrospective Study.

BACKGROUND: Mitral regurgitation (MR) and tricuspid regurgitation (TR) are common cardiac conditions with high mortality risks, which can be improved through early intervention. Telehealth services, which allow for remote monitoring of patient conditions, have been proven to improve the health management of chronic diseases, but the effects on MR and TR progression are unknown. OBJECTIVE: This study aimed to explore whether patients receiving telehealth services have less MR and TR progression compared with a control group. We also aimed to identify the determinants of MR and TR progression. METHODS: This single-center retrospective study conducted at the National Taiwan University Hospital compared MR and TR progression (defined as either progression to moderate or greater MR and TR or MR and TR progression by ≥2 grades during the study period) between the telehealth and control groups. Patients had a minimum of 2 transthoracic echocardiograms at least 6 months apart; baseline mild-moderate MR and TR or lower; and no prior surgeries on the mitral or tricuspid valve. Telehealth patients were defined as those who received telehealth services for at least 28 days within 3 months of baseline. Basic demographics, baseline blood pressure measurements, prescribed medication, and Charlson Comorbidity Index components were obtained for all patients. RESULTS: A total of 1081 patients (n=226 in the telehealth group and n=855 in the control group) were included in the study analyses. The telehealth group showed significantly lower baseline systolic blood pressure (P<.001), higher Charlson Comorbidity Index (P=.02), higher prevalence of prior myocardial infarction (P=.01) and heart failure (P<.001), higher beta-blocker (P=.03) and diuretic (P=.04) use, and lower nitrate use (P=.04). Both groups showed similar cardiac remodeling conditions at baseline. Telehealth was found to be neutral for both MR (hazard ratio 1.10, 95% CI 0.80-1.52; P=.52) and TR (hazard ratio 1.27, 95% CI 0.92-1.74; P=.14) progression. Determinants for moderate or greater MR progression included older age, female sex, diuretic use, larger left atrial dimension, left ventricular end-diastolic dimension, left ventricular end-systolic dimension, and lower left ventricular ejection fraction. Determinants of moderate or greater TR progression included older age, female sex, diuretic use, presence of atrial fibrillation, LA dimension, left ventricular end-systolic dimension, and lower left ventricular ejection fraction; statin use was found to be protective. CONCLUSIONS: This is the first study to assess the association between telehealth services and the progression of MR and TR. Telehealth patients, who had more comorbidities, displayed similar MR and TR progression versus control patients, indicating that telehealth may slow MR and TR progression. Determinants of MR and TR progression included easy-to-measure traditional echo parameters of cardiac function, older age, female sex, and atrial fibrillation, which can be incorporated into a telehealth platform and advanced alert system, improving patient outcomes through personalized care.

Sleep and its variability in relation to behavioral outcomes in school-age children with overweight and obesity.

This was a cross-sectional study to examine sleep and its variability in relation to behavioral outcomes in school-age children with overweight and obesity. A total of 246 school-age children with overweight or obesity were recruited between 2019 and 2021 from 10 public elementary schools in Northern Taiwan. Parents completed sleep and behavior questionnaires, with children wearing an actigraphy monitor for 7 days. Average daily sleep duration by actigraphy was 7.52 h, with 84.6% of the children having clinically significant sleep disturbance scores and 68.3% having a total behavior problem score in the clinical range. Children were categorized by median split for sleep duration and sleep duration variability. Multivariate regression analyses showed that children in the insufficient (duration)-stable (variability) sleep category had significantly higher scores for emotion problems (B = 0.94, p = 0.01), self-control problems (B = 1.61, p < 0.01), and total behavior problems (B = 3.38, p < 0.01) compared to children in the sufficient-stable sleep (reference) category. Children in the insufficient-variable sleep category had significantly higher self-control problem scores compared to children in the reference category (B = 1.03, p < 0.05). Findings from our study suggest that school-age children with overweight and obesity coexist with sleep and behavioral problems, and those who have consistently insufficient sleep are at the greatest risk for the worst behavioral outcomes. Screening for sleep habits and behavioral problems should be considered a standard practice in pediatric overweight and obesity.

One-Year Outcome of Patients with Chest Pain in the Rule-Out Group According to the 0-Hour/1-Hour Algorithm.

The European Society of Cardiology recommends the 0/1-hour algorithm for risk stratification of patients with suspected non-ST-elevation myocardial infarction as class I, level B; however, there are few reports on the long-term prognosis, resulting in a rule-out group. We aimed to determine whether implementation of the 0-hour/1-hour algorithm is safe and effective in emergency department (ED) patients with possible acute coronary syndrome (ACS) through a 1-year follow-up period. Our study analyzed the 1-year follow-up data from a prospective pre-post study of 1106 ED patients with possible ACS from 4 hospitals in Japan and Taiwan. Patients were 18 years or older. Accrual occurred for 1 year after implementing the 0-1-hour algorithm from November 2014 to December 2018. Overall, 520 patients were stratified into the rule-out group. Major advanced cardiovascular events (all-cause death, acute myocardial infarction [AMI], stroke, unstable angina, and revascularization) at 1-year were determined using data from health records and phone calls. The 0-1-hour algorithm stratified 47.0% of patients in the rule-out group. Over the 1-year follow-up period (follow-up rate = 86.9%), cardiovascular death and subsequent AMI did not occur in the rule-out group. Among the 27 patients who underwent the procedure within 30 days post-index visit, 3 patients (0.7%) had a stroke, 6 patients (1.3%) died of non-cardiovascular cause, and 30 patients (6.7%) underwent coronary revascularization within 1 year. At the 1-year follow-up, implementation of the 0-hour/1-hour algorithm was associated with very low rates of adverse event among patients in the rule-out group.

Genome-wide association study of primary dysmenorrhea in the Taiwan Biobank validates associations near the NGF and IL1 gene loci.

Using the Taiwan Biobank, we aimed to identify traits and genetic variations that could predispose Han Chinese women to primary dysmenorrhea. Cases of primary dysmenorrhea included those who self-reported "frequent dysmenorrhea" in a dysmenorrhea-related Taiwan Biobank questionnaire, and those who have been diagnosed with severe dysmenorrhea by a physician. Controls were those without self-reported dysmenorrhea. Customized Axiom-Taiwan Biobank Array Plates were used to perform whole-genome genotyping, PLINK was used to perform association tests, and HaploReg was used to conduct functional annotations of SNPs and bioinformatic analyses. The GWAS analysis included 1186 cases and 24,020 controls. We identified 53 SNPs that achieved genome-wide significance (P < 5 × 10-8, which clustered in 2 regions. The first SNP cluster was on chromosome 1, and included 24 high LD (R2 > 0.88) variants around the NGF gene (lowest P value of 3.83 × 10-13 for rs2982742). Most SNPs occurred within NGF introns, and were predicted to alter regulatory binding motifs. The second SNP cluster was on chromosome 2, including 7 high LD (R2 > 0.94) variants around the IL1A and IL1B loci (lowest P value of 7.43 × 10-10 for rs11676014) and 22 SNPs that did not reach significance after conditional analysis. Most of these SNPs resided within IL1A and IL1B introns, while 2 SNPs may be in the promoter histone marks or promoter flanking regions of IL1B. To conclude, data from this study suggest that NGF, IL1A, and IL1B may be involved in the pathogenesis of primary dysmenorrhea in the Han Chinese in Taiwan.

Lower caprylate and acetate levels in the breast milk is associated with atopic dermatitis in infancy.

BACKGROUND: Atopic dermatitis (AD) occurs in exclusively breastfed infants. As fatty acids have some immunomodulatory effect, we aimed to investigate the influence of fatty acid compositions in breast milk (BM) on the development of AD in exclusively breastfed infants. METHODS: We enrolled two- to four-month-old exclusively breastfed infants. The objective SCORing Atopic Dermatitis (objSCORAD) was evaluated. The lipid layer of BM was analyzed by gas chromatography for fatty acid levels. Medical charts were reviewed. RESULTS: Forty-seven AD infants and 47 healthy controls were enrolled. The objSCORAD was 20.5 ± 1.7 (shown as mean ± SEM) in the AD group. The age, sex, parental atopy history, and nutrient intake of mothers were not significantly different between two groups. The palmitate and monounsaturated fatty acid (MUFA) levels in BM positively correlated with objSCORAD, while caprylate, acetate, and short-chain fatty acid (SCFA) levels negatively correlated with objSCORAD (p = .031, .019, .039, .013, .022, respectively). However, the butyrate levels in BM were not significantly different. The caprylate and acetate levels in BM were significantly associated with the presence of infantile AD (p = .021 and .015, respectively) after adjusting for age, sex, parental allergy history, MUFA, palmitate, and SCFA levels in BM. ObjSCORAD in infancy was significantly associated with persistent AD (p = .026) after adjusting for age, sex, parental atopy history, caprylate, palmitate, MUFA, acetate, and SCFA levels in BM. CONCLUSION: Caprylate and acetate levels in BM for exclusively breastfed infants were negatively associated with objSCORAD. Lower caprylate and acetate in BM might be the risk factors for infantile AD, while butyrate in BM was not associated with infantile AD.

Temporal Trends in the Microbiological Characteristics of Sepsis in the United States: A Population Based Study.

BACKGROUND: Epidemiologic studies are needed for monitoring population-level trends in sepsis. This study examines sepsis-causing microorganisms from 2006 to 2014 in the United States using data from the Nationwide Inpatient Sample database. METHODS: 7 860 686 adults hospitalized with sepsis were identified using a validated ICD-9 coding approach. Associated microorganisms were identified by ICD-9 code and classified by major groups (Gram-positive, Gram-negative, fungi, anaerobes) and specific species for analysis of their incidence and mortality. RESULTS: The rate of sepsis incidence has increased for all four major categories of pathogens, while the mortality rate decreased. In 2014, Gram-negative pathogens had a higher incidence than Gram-positives. Anaerobes increased the fastest with an average annual increase of 20.17% (p < 0.001). Fungi had the highest mortality (19.28%) and the slowest annual decrease of mortality (-2.31%, p = 0.006) in 2013, while anaerobic sepsis had the highest hazard of mortality (adjusted HR 1.60, 95% CI 1.53-1.66). CONCLUSIONS: Gram-negative pathogens have replaced Gram-positives as the leading cause of sepsis in the United States in 2014 during the study period (2006-2014). The incidence of anaerobic sepsis has an annual increase of 20%, while the mortality of fungal sepsis has not decreased at the same rate as other microorganisms. These findings should inform the diagnosis and management of septic patients, as well as the implementation of public health programs.

Association Between Aspirin Use and Sepsis Outcomes: A National Cohort Study.

BACKGROUND: Aspirin has anti-inflammatory and antiplatelet activities and directly inhibits bacterial growth. These effects of aspirin may improve survival in patients with sepsis. We retrospectively reviewed a large national health database to test the relationship between prehospital aspirin use and sepsis outcomes. METHODS: We conducted a retrospective population-based cohort study using the National Health Insurance Research Database of Taiwan from 2001 to 2011 to examine the relationship between aspirin use before hospital admission and sepsis outcomes. The association between aspirin use and 90-day mortality in sepsis patients was determined using logistic regression models and weighting patients by the inverse probability of treatment weighting (IPTW) with the propensity score. Kaplan-Meier survival curves for each IPTW cohort were plotted for 90-day mortality. For sensitivity analyses, restricted mean survival times (RMSTs) were calculated based on Kaplan-Meier curves with 3-way IPTW analysis comparing current use, past use, and nonuse. RESULTS: Of 52,982 patients with sepsis, 12,776 took aspirin before hospital admission (users), while 39,081 did not take any antiplatelet agents including aspirin before hospital admission (nonusers). After IPTW analysis, we found that when compared to nonusers, patients who were taking aspirin within 90 days before sepsis onset had a lower 90-day mortality rate (IPTW odds ratio [OR], 0.90; 95% confidence interval [CI], 0.88-0.93; P < .0001). Based on IPTW RMST analysis, nonusers had an average survival of 71.75 days, while current aspirin users had an average survival of 73.12 days. The difference in mean survival time was 1.37 days (95% CI, 0.50-2.24; P = .002). CONCLUSIONS: Aspirin therapy before hospital admission is associated with a reduced 90-day mortality in sepsis patients.

Gender differences in health protective behaviours and its implications for COVID-19 pandemic in Taiwan: a population-based study.

INTRODUCTION: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection produces more severe symptoms and a higher mortality in men than in women. The role of biological sex in the immune response to SARS-CoV-2 is believed to explain this sex disparity. However, the contribution of gender factors that influence health protective behaviors and therefore health outcomes, remains poorly explored. METHODS: We assessed the contributions of gender in attitudes towards the COVID-19 pandemic, using a hypothetical influenza pandemic data from the 2019 Taiwan Social Change Survey. Participants were selected through a stratified, three-stage probability proportional-to-size sampling from across the nation, to fill in questionnaires that asked about their perception of the hypothetical pandemic, and intention to adopt health protective behaviors. RESULTS: A total of 1,990 participants (median age = 45·92 years, 49% were women) were included. Significant gender disparities (p < .001) were observed. The risk perception of pandemic (OR = 1·28, 95% CI [1·21 - 1·35], p < .001), older age (OR = 1·06, 95% CI [1·05 - 1·07], p < .001), female gender (OR = 1·18, 95% CI [1·09-1·27], p < .001), higher education (OR = 1·10, 95% CI [1·06 - 1·13], p < .001), and larger family size (OR = 1·09, 95% CI [1·06 - 1·15], p < .001) were positively associated with health protective behaviors. The risk perception of pandemic (OR = 1·25, 95% CI [1·15 - 1·36]), higher education (OR = 1·07, 95% CI [1·02 - 1·13], p < .05), being married (OR = 1·17, 95% CI [1·01-1·36, p < .05), and larger family size (OR = 1·33, 95% CI [1·25 - 1·42], p < .001), were positively associated with intention to receive a vaccine. However, female gender was negatively associated with intention to receive a vaccine (OR = 0·85, 95% CI [0·75 - 0·90], p < ·01) and to comply with contact-tracing (OR = 0·95, 95% CI [0·90 - 1·00], p < .05) compared to men. Living with children was also negatively associated with intention to receive vaccines (OR = 0·77, 95% CI [0·66 - 0·90], p < .001). CONCLUSION: This study unveils gender differences in risk perception, health protective behaviors, vaccine hesitancy, and compliance with contact-tracing using a hypothetical viral pandemic. Gender-specific health education raising awareness of health protective behaviors may be beneficial to prevent future pandemics.

Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach.

BACKGROUND: Although machine learning (ML) algorithms have been applied to point-of-care sepsis prognostication, ML has not been used to predict sepsis mortality in an administrative database. Therefore, we examined the performance of common ML algorithms in predicting sepsis mortality in adult patients with sepsis and compared it with that of the conventional context knowledge-based logistic regression approach. OBJECTIVE: The aim of this study is to examine the performance of common ML algorithms in predicting sepsis mortality in adult patients with sepsis and compare it with that of the conventional context knowledge-based logistic regression approach. METHODS: We examined inpatient admissions for sepsis in the US National Inpatient Sample using hospitalizations in 2010-2013 as the training data set. We developed four ML models to predict in-hospital mortality: logistic regression with least absolute shrinkage and selection operator regularization, random forest, gradient-boosted decision tree, and deep neural network. To estimate their performance, we compared our models with the Super Learner model. Using hospitalizations in 2014 as the testing data set, we examined the models' area under the receiver operating characteristic curve (AUC), confusion matrix results, and net reclassification improvement. RESULTS: Hospitalizations of 923,759 adults were included in the analysis. Compared with the reference logistic regression (AUC: 0.786, 95% CI 0.783-0.788), all ML models showed superior discriminative ability (P<.001), including logistic regression with least absolute shrinkage and selection operator regularization (AUC: 0.878, 95% CI 0.876-0.879), random forest (AUC: 0.878, 95% CI 0.877-0.880), xgboost (AUC: 0.888, 95% CI 0.886-0.889), and neural network (AUC: 0.893, 95% CI 0.891-0.895). All 4 ML models showed higher sensitivity, specificity, positive predictive value, and negative predictive value compared with the reference logistic regression model (P<.001). We obtained similar results from the Super Learner model (AUC: 0.883, 95% CI 0.881-0.885). CONCLUSIONS: ML approaches can improve sensitivity, specificity, positive predictive value, negative predictive value, discrimination, and calibration in predicting in-hospital mortality in patients hospitalized with sepsis in the United States. These models need further validation and could be applied to develop more accurate models to compare risk-standardized mortality rates across hospitals and geographic regions, paving the way for research and policy initiatives studying disparities in sepsis care.

Bedtime routines and objectively assessed sleep in infants.

AIMS: To examine the association of the timing and consistency of parent bedtime routines with infant night-time sleep duration and variability. DESIGN: This was a prospective observational study conducted between November 2012 and November 2016. METHODS: Three hundred and twenty healthy 6-month-old infants were recruited from the well-child clinics of a university-affiliated hospital in northern Taiwan. Participating families provided sociodemographic, health and bedtime routine information. Infants wore an actigraph on the ankle for a week. General linear model analysis was performed with the frequency and timing of bedtime routines treated as the primary predictor variables of interest. RESULTS: One hundred and ninety-seven (61.6%) parents started the bedtime routine for infants after 9 PM, with 162 (50.6%) not having the exact same bedtime routine every night. In both crude and adjusted analyses, starting a bedtime routine after 9 PM was associated with shorter infant night-time sleep duration (b = -23.55, p < 0.01). Infants with a bedtime routine of <3-4 nights per week were associated with more variable night-time sleep duration than a bedtime routine of 5-6 nights per week (b = -7.81, p < 0.05) or every night (b = -8.47, p < 0.05). CONCLUSION: A bedtime routine of at least 5 nights a week and initiated no later than 9 PM was associated with longer and less variable night-time sleep in infancy. Findings suggest that a consistent bedtime routine implemented in accordance with age-appropriate bedtimes should be addressed as part of anticipatory guidance in the well-child clinics. Future studies should include infant sleep variability as an outcome in addition to the conventional mean-level sleep variable analyses to more thoroughly characterize bedtime routine effects.