ABSTRACT
Rationale: Low FEV1 is a biomarker of increased mortality. The association of normal lung function and mortality is not well described. Objectives: To evaluate the FEV1-mortality association among participants with normal lung function. Methods: A total of 10,999 Fire Department of the City of New York (FDNY) responders and 10,901 Third National Health and Nutrition Examination Survey (NHANES III) participants, aged 18-65 years with FEV1 ⩾80% predicted, were analyzed, with FEV1 percent predicted calculated using Global Lung Function Initiative Global race-neutral reference equations. Mortality data were obtained from linkages to the National Death Index. Cox proportional hazards models estimated the association between FEV1 and all-cause mortality, controlling for age, sex, race/ethnicity, smoking history, and, for FDNY, work assignment. Cohorts were followed for a maximum of 20.3 years. Measurements and Main Results: We observed 504 deaths (4.6%) of 10,999 for FDNY and 1,237 deaths (9.4% [weighted]) of 10,901 for NHANES III. Relative to FEV1 ⩾120% predicted, mortality was significantly higher for FEV1 100-109%, 90-99%, and 80-89% predicted in the FDNY cohort. In the NHANES III cohort, mortality was significantly higher for FEV1 90-99% and 80-89% predicted. Each 10% higher predicted FEV1 was associated with 15% (hazard ratio, 0.85; 95% confidence interval, 0.80-0.91) and 23% (hazard ratio, 0.77; 95% confidence interval, 0.71-0.84) lower mortality for FDNY and NHANES III, respectively. Conclusions: In both cohorts, higher FEV1 is associated with lower mortality, suggesting higher FEV1 is a biomarker of better health. These findings demonstrate that a single cross-sectional measurement of FEV1 is predictive of mortality over two decades, even when FEV1 is in the normal range.
Subject(s)
Nutrition Surveys , September 11 Terrorist Attacks , Humans , Male , Middle Aged , Female , Adult , Aged , Forced Expiratory Volume , Young Adult , Adolescent , Proportional Hazards Models , New York City/epidemiology , United States/epidemiology , Emergency Responders/statistics & numerical data , Lung/physiopathologyABSTRACT
BACKGROUNDS: Metabolic dysfunction-associated steatotic liver disease (MASLD) has gained attention owing to its severe complications. This study aimed to explore the interaction between Mediterranean-diet (MD) adherence, genetic factors, and MASLD risk in a Korean population. METHODS: In total, 33,133 individuals aged 40 years and older from the Korean Genome and Epidemiology Study (KoGES) were analyzed. Participants were assessed for MASLD based on criteria and MD adherence measured by the Korean version of the Mediterranean-Diet Adherence Screener (K-MEDAS). Individuals were categorized into two groups based on their MD adherence: high adherence (K-MEDAS > 6) and low adherence (K-MEDAS < 5). Single nucleotide polymorphism (SNP) genotypes were obtained using the Korea Biobank array. Logistic regression was used to examine the single-marker variants for genetic associations with MASLD prevalence. RESULTS: Individuals were categorized into MASLD (10,018 [30.2%]) and non-MASLD (23,115 [69.8%]) groups. A significant interaction was observed between the rs780094 glucokinase regulatory protein (GCKR) gene and K-MEDAS on MASLD (p < 10 - 2 ). Of individuals with K-MEDAS > 6, those carrying the minor allele (C) of the GCKR gene rs780094 exhibited a lower risk of MASLD compared to those without the allele (odds ratio [OR] = 0.88 [0.85-0.91], p-value = 5.54e-13). CONCLUSION: The study identified a significant interaction involving the rs780094 variant near the GCKR gene, with carriers of the minor allele exhibiting a lower MASLD risk among those adhering well to the MD. Dietary habits influence the MASLD risk associated with the rs780094 allele, emphasizing the need for personalized nutrition recommendations.
Subject(s)
Diet, Mediterranean , Patient Compliance , Polymorphism, Single Nucleotide , Humans , Male , Female , Republic of Korea/epidemiology , Polymorphism, Single Nucleotide/genetics , Middle Aged , Risk Factors , Fatty Liver/genetics , Genetic Predisposition to Disease , Adult , Adaptor Proteins, Signal Transducing/genetics , Aged , Metabolic Diseases/genetics , Metabolic Diseases/epidemiologyABSTRACT
PURPOSE: World Trade Center (WTC) exposure is associated with obstructive airway diseases and sarcoidosis. There is limited research regarding the incidence and progression of non-sarcoidosis interstitial lung diseases (ILD) after WTC-exposure. ILD encompasses parenchymal diseases which may lead to progressive pulmonary fibrosis (PPF). We used the Fire Department of the City of New York's (FDNY's) WTC Health Program cohort to estimate ILD incidence and progression. METHODS: This longitudinal study included 14,525 responders without ILD prior to 9/11/2001. ILD incidence and prevalence were estimated and standardized to the US 2014 population. Poisson regression modeled risk factors, including WTC-exposure and forced vital capacity (FVC), associated with ILD. Follow-up time ended at the earliest of incident diagnosis, end of study period/case ascertainment, transplant or death. RESULTS: ILD developed in 80/14,525 FDNY WTC responders. Age, smoking, and gastroesophageal reflux disease (GERD) prior to diagnosis were associated with incident ILD, though FVC was not. PPF developed in 40/80 ILD cases. Among the 80 cases, the average follow-up time after ILD diagnosis was 8.5 years with the majority of deaths occurring among those with PPF (PPF: n = 13; ILD without PPF: n = 6). CONCLUSIONS: The prevalence of post-9/11 ILD was more than two-fold greater than the general population. An exposure-response gradient could not be demonstrated. Half the ILD cases developed PPF, higher than previously reported. Age, smoking, and GERD were risk factors for ILD and PPF, while lung function was not. This may indicate that lung function measured after respirable exposures would not identify those at risk for ILD or PPF.
Subject(s)
Disease Progression , Lung Diseases, Interstitial , Pulmonary Fibrosis , September 11 Terrorist Attacks , Humans , Longitudinal Studies , Male , Lung Diseases, Interstitial/epidemiology , Lung Diseases, Interstitial/physiopathology , Middle Aged , Female , Incidence , Vital Capacity , Adult , Prevalence , Risk Factors , Pulmonary Fibrosis/epidemiology , Pulmonary Fibrosis/physiopathology , New York City/epidemiology , Gastroesophageal Reflux/epidemiology , Occupational Exposure/adverse effects , Smoking/adverse effects , Smoking/epidemiology , Aged , Time Factors , Emergency Responders/statistics & numerical dataABSTRACT
In non-inferiority (NI) trials with time-to-event data, different types and patterns of censoring may occur, but their impact on trial results is not entirely clear. We investigated the influence of informative and non-informative censoring by conducting extensive simulation studies under the assumption that the NI margin is defined as a maximum acceptable hazard ratio and scenarios typically observed in recent NI trials. We found that while non-informative censoring tends to only affect the power, informative censoring can impact the treatment effect estimates, type I error rate, and power. The magnitude of these effects depends on the between-group differences in the failure and informative censoring risks, as well as the correlation between censoring and failure times, among other factors. The adverse impact of informative censoring was generally decreased with larger NI margins.
Subject(s)
Proportional Hazards Models , Humans , Computer Simulation , Equivalence Trials as TopicABSTRACT
BACKGROUND: Posttraumatic stress disorder (PTSD) symptomatology and poorer pulmonary function are highly prevalent psychiatric and medical conditions. In the present study, we tested for the individual, additive, and modifying associations of PTSD symptomatology and pulmonary function with cognitive performance. METHODS: In this cross-sectional study, a total of 1,401 World Trade Center (WTC) responders (mean age = 53, SD = 8 years, 92% males) participated in the study. Cogstate assessment measured cognitive performance. PTSD symptomatology was measured using the trauma-specific version of the posttraumatic stress disorder checklist (PCL-17) adapted for the WTC attacks. The 1-second forced expiratory volume and forced vital capacity (FEV1/FVC) ratio was used to measure pulmonary function. Linear regressions with cognitive performance as the outcome were conducted to assess individual, additive, and moderating associations of PTSD symptomatology and pulmonary function. RESULTS: Higher PTSD symptomatology and poorer pulmonary function were negatively associated with cognitive performance. A 10% increase on the FEV1/FVC ratio moderated the association between PTSD symptomatology and cognition, whereby its association with cognition was stronger when PTSD symptomatology was higher (est. = 0.01, 95%CI = 0.004, 0.01, p < 0.001). When stratified by responder type, these associations persisted in trained (est. = 0.01, 95%CI = 0.01, 0.02, p < 0.001), but not in non-trained (est. = 0.004, 95% C.I. = -0.01, 0.02, p = 0.39) responders. CONCLUSIONS: In the presence of higher PTSD, better pulmonary functioning is associated with better cognitive performance. Early intervention efforts to mitigate preventable cognitive decline in high-risk populations should be studied, especially since intervention in one modality may have an impact on others.
Subject(s)
Cognition , September 11 Terrorist Attacks , Stress Disorders, Post-Traumatic , Humans , Male , Stress Disorders, Post-Traumatic/epidemiology , Stress Disorders, Post-Traumatic/psychology , Stress Disorders, Post-Traumatic/physiopathology , September 11 Terrorist Attacks/psychology , Cross-Sectional Studies , Female , Middle Aged , Adult , Emergency Responders/psychology , Emergency Responders/statistics & numerical data , Vital Capacity , Forced Expiratory Volume , Lung/physiopathology , New York City/epidemiologyABSTRACT
The growing popularity of social media has engendered the social problem of spam proliferation through this medium. New spam types that evade existing spam detection systems are being developed continually, necessitating corresponding countermeasures. This study proposes an anomaly detection-based framework to detect new Twitter spam, which works by modeling the characteristics of non-spam tweets and using anomaly detection to classify tweets deviating from this model as anomalies. However, because modeling varied non-spam tweets is challenging, the technique's spam detection and false positive (FP) rates are low and high, respectively. To overcome this shortcoming, anomaly detection is performed on known spam tweets pre-detected using a trained decision tree while modeling normal tweets. A one-class support vector machine and an autoencoder with high detection rates are used for anomaly detection. The proposed framework exhibits superior detection rates for unknown spam compared to conventional techniques, while maintaining equivalent or improved detection and FP rates for known spam. Furthermore, the framework can be adapted to changes in spam conditions by adjusting the costs of detection errors.
ABSTRACT
BACKGROUND AND AIMS: The quantity of alcohol leading to alcohol-associated liver disease (ALD) varies individually. Genetic backgrounds contributing to the divergence in individual susceptibility to alcohol-induced liver damage have not been elucidated in detail. APPROACH AND RESULTS: Based on the Korean Genome and Epidemiology Study Health Examination (KoGES_HEXA) cohort data, 21,919 participants (40-79 years old) were included and divided into cases and controls based on the ALD diagnostic criteria proposed by the American College of Gastroenterology. Data generated by a genome wide-association study were analyzed using logistic regression to assess the risk of ALD development in nondrinkers, light drinkers, and heavy drinkers. We detected three loci, gamma-glutamyltransferase 1 (GGT1), zinc protein finger 827 (ZNF827) and HNF1 homeobox A (HNF1A), which were significantly associated with ALD risk. The GGT1 rs2006227 minor allele was strongly associated with all groups. Among the minor alleles of single nucleotide polymorphisms (SNPs) in HNF1A, rs1183910 had the strongest association with a protective effect from ALD in light drinkers. However, this association was not observed in heavy drinkers. Five SNPs on chromosome 11 showed suggestive significance in protective effects against ALD. CONCLUSIONS: SNPs, including HNF1A rs1183910 minor allele, are the most promising genetic candidates for protection against ALD. The expression of genes contributing to ALD development may be altered by the amount of alcohol consumed.
Subject(s)
DNA-Binding Proteins/genetics , Genetic Predisposition to Disease/epidemiology , Hepatocyte Nuclear Factor 1-alpha/genetics , Liver Diseases, Alcoholic/epidemiology , Liver Diseases, Alcoholic/genetics , gamma-Glutamyltransferase/genetics , Adult , Aged , Alcohol Drinking/epidemiology , Alleles , Case-Control Studies , Female , Genome-Wide Association Study , Humans , Male , Middle Aged , Polymorphism, Single Nucleotide , Republic of Korea/epidemiology , Risk Assessment , Risk FactorsABSTRACT
Currently, Internet of medical things-based technologies provide a foundation for remote data collection and medical assistance for various diseases. Along with developments in computer vision, the application of Artificial Intelligence and Deep Learning in IOMT devices aids in the design of effective CAD systems for various diseases such as melanoma cancer even in the absence of experts. However, accurate segmentation of melanoma skin lesions from images by CAD systems is necessary to carry out an effective diagnosis. Nevertheless, the visual similarity between normal and melanoma lesions is very high, which leads to less accuracy of various traditional, parametric, and deep learning-based methods. Hence, as a solution to the challenge of accurate segmentation, we propose an advanced generative deep learning model called the Conditional Generative Adversarial Network (cGAN) for lesion segmentation. In the suggested technique, the generation of segmented images is conditional on dermoscopic images of skin lesions to generate accurate segmentation. We assessed the proposed model using three distinct datasets including DermQuest, DermIS, and ISCI2016, and attained optimal segmentation results of 99%, 97%, and 95% performance accuracy, respectively.
Subject(s)
Melanoma , Skin Diseases , Skin Neoplasms , Humans , Artificial Intelligence , Melanoma/diagnostic imaging , Skin Neoplasms/diagnostic imaging , Skin Neoplasms/pathology , Neural Networks, Computer , Image Processing, Computer-Assisted/methodsABSTRACT
The presence of leg ulcers in individuals with sickle cell disease often represents an early sign of vasculopathy and future end organ damage. Pathophysiological mechanisms of formation and evolution of leg ulcers are poorly understood; nevertheless, HbF has been associated with lower incidence of leg ulcers, while hydroxyurea has been correlated with high risk of leg ulcers. As a result, there is hesitation regarding hydroxyurea use in patients with SCD and leg ulcers. In this study, we aim to define (1) a target of HbF that offers protection against leg ulcer development and (2) the impact of hydroxyurea therapy on leg ulcer prevalence. Our study demonstrated that in order to reduce leg ulcer incidence by one-third, a HbF > 25% is needed, a threshold not commonly reached and maintained in the adult SCD population. Importantly, leg ulcer incidence appears to be independent of HU use (p = 0.50). Our interpretation of this data is that the use of HU in a patient with SCD and leg ulcers should be guided by a careful assessment of risks and benefits of this therapeutic modality.
Subject(s)
Anemia, Sickle Cell/drug therapy , Antisickling Agents/therapeutic use , Fetal Hemoglobin/analysis , Hydroxyurea/therapeutic use , Leg Ulcer/etiology , Adult , Anemia, Sickle Cell/blood , Anemia, Sickle Cell/complications , Antisickling Agents/adverse effects , Female , Humans , Hydroxyurea/adverse effects , Incidence , Leg Ulcer/blood , Male , Middle Aged , Risk Factors , Young AdultABSTRACT
BACKGROUND: Sickle cell disease (SCD) is a chronic illness that is associated with frequent admissions for vaso-occlusive episodes (VOE). Opioids are frequently utilized in pain management, but dosing is often provider dependent. Opioids cause both short-term and long-term side effects, so the minimal effective dose is desired. This study examined demand-only patient-controlled analgesia (PCA) in pediatric patients. METHODS: A new clinical practice guideline (CPG) for a single institution was implemented, which eliminated basal infusion dosing for PCAs on hospital admission. The primary aim of this retrospective study was to evaluate length of stay (LOS) before and after implementation of a CPG of demand-only PCA and, in a selected subpopulation, addition of short-term methadone. Secondary aims included opioid utilization, acute chest syndrome (ACS), and hypoxia. Inclusion criteria included SCD, ≤21 years of age, uncomplicated VOE admission, and ≥ 3 and ≤ 8 hospital admissions for SCD pain control within one calendar year. RESULTS: LOS decreased postintervention (7.2 ± 5.1 vs 4.5 ± 3.8 days, P < 0.001). Mean total opioid utilization in morphine equivalents mg/kg markedly decreased between the cohorts (13.3 ± 33.8 vs 3.6 ± 3.0, P < 0.001). ACS (21.9% vs 2.8%, P = 0.004) and hypoxia (28% vs 6.9%, P< 0.001) decreased significantly as well. CONCLUSION: Bolus PCA dosing of opioids resulted in decreased LOS and reductions in opioid utilization, hypoxia, and ACS.
Subject(s)
Acute Chest Syndrome , Acute Pain , Anemia, Sickle Cell , Acute Chest Syndrome/complications , Acute Pain/drug therapy , Acute Pain/etiology , Analgesia, Patient-Controlled/methods , Analgesics, Opioid , Anemia, Sickle Cell/complications , Anemia, Sickle Cell/drug therapy , Child , Humans , Hypoxia/chemically induced , Hypoxia/complications , Hypoxia/drug therapy , Retrospective StudiesABSTRACT
INTRODUCTION/OBJECTIVE: Most pediatric emergency visits occur in general emergency departments (GED). Our study aims to assess whether medical decision making regarding the management of febrile infants differs in GEDs from pediatric EDs (PED) and deviates from pediatric expert consensus. METHODS: We conducted a retrospective chart review on patients younger than 60 days with fever admitted from 13 GEDs versus 1 PED to a children's hospital over a 3-year period. Adherence to consensus guidelines was measured by frequency of performing critical components of initial management, including blood culture, urine culture, attempted lumbar puncture, and antibiotic administration (<29 days old), or complete blood count and/or C-reactive protein, blood culture, and urine culture (29-60 days old). Additional outcomes included lumbar puncture, collecting urine specimens via catheterization, and timing of antibiotics. RESULTS: A total of 176 patient charts were included. Sixty-four (36%) patients were younger than 29 days, and 112 (64%) were 29 to 60 days old. Eighty-eight (50%) patients were admitted from GEDs.In infants younger than 29 days managed in the GEDs (n = 32), 65.6% (n = 21) of patients underwent all 4 critical items compared with 96.9% (n = 31, P = 0.003) in the PED. In infants 29 to 60 days old managed in GEDs (n = 56), 64.3% (n = 36) patients underwent all 3 critical items compared with 91.1% (n = 51, P < 0.001) in the PED. CONCLUSIONS: This retrospective study suggests that providers managing young infants with fever in 13 GEDs differ significantly from providers in the PED examined and literature consensus. Inconsistent testing and treatment practices may put young infants at risk for undetected bacterial infection.
Subject(s)
Emergency Service, Hospital , Fever , Anti-Bacterial Agents/therapeutic use , Child , Fever/therapy , Hospitalization , Hospitals, Pediatric , Humans , Infant , Retrospective StudiesABSTRACT
Although many genome-wide association studies (GWASs) have evaluated the association with metabolic disorders, the current study is the first attempt to analyze the genetic risk factors for various metabolic disorders according to sex and age groups of the life course in Korean adults. A total population of 50,808 people were included in this GWAS. The genetic traits for eight metabolic phenotypes were investigated in peri-, and postmenopausal women compared to a younger group or men of corresponding age groups. The metabolic phenotypes include general obesity, abdominal obesity, hypertension, type 2 diabetes, hypercholesterolemia, hypertriglyceridemia, hypo-high-density lipoprotein cholesterolemia, and metabolic syndrome. In the total participants, GWAS results for eight metabolic phenotypes found 101 significant loci. Of these, 15 loci were the first reported to be associated with the risk of metabolic disorder. Interestingly, some of the significant loci presented the association with the various phenotypes, which presented when there was a correlation between phenotypes. In addition, we analyzed divided by gender and age (young adult, peri-menopausal group, older adult), and specifically identified specific loci in peri-menopausal women. Meanwhile, several genetic factors associated with metabolic disorders were newly reported in our study. In particular, several genes were significantly associated with one of the metabolic phenotypes in only a single specific group. These findings suggest that menopausal transition rather than aging itself potentiates the influence of genetic risks on metabolic disorders. In addition, some genetic loci with low frequencies may play a role in the metabolic disturbances in a specific sex and age group. The genetic traits derived from our study may contribute to understanding the genetic risk factors for metabolic disorders in the Korean population.
Subject(s)
Diabetes Mellitus, Type 2 , Metabolic Syndrome , Asian People/genetics , Female , Genome-Wide Association Study , Humans , Lipoproteins, HDL/genetics , Male , Metabolic Syndrome/epidemiology , Metabolic Syndrome/genetics , Obesity/genetics , Republic of Korea/epidemiologyABSTRACT
BACKGROUND: Hypertension (HTN), diabetes mellitus (DM), and dyslipidemia (DL) are well-known risk factors of cardiovascular disease (CVD), but not all patients develop CVDs. Studies have been limited investigating genetic risk of CVDs specific to individuals with metabolic diseases. This study aimed to identify disease-specific and/or common genetic loci associated with CVD susceptibility in chronic metabolic disease patients. METHODS: We conducted a genome-wide association study (GWAS) of a multiple case-control design with data from the City Cohort within Health EXAminees subcohort of the Korean Genome and Epidemiology Study (KoGES_HEXA). KoGES_HEXA is a population-based prospective cohort of 173,357 urban Korean adults that had health examinations at medical centers. 42,393 participants (16,309 HTN; 5,314 DM; 20,770 DL) were analyzed, and each metabolic disease group was divided into three CVD case-controls: coronary artery disease (CAD), ischemic stroke (IS), and cardio-cerebrovascular disease (CCD). GWASs were conducted for each case-control group with 7,975,321 imputed single nucleotide polymorphisms using the Phase 3 Asian panel from 1000 Genomes Project, by logistic regression and controlled for confounding variables. Genome-wide significant levels were implemented to identify important susceptibility loci. RESULTS: Totaling 42,393 individuals, this study included 16,309 HTN (mean age [SD], 57.28 [7.45]; 816 CAD, 398 IS, and 1,185 CCD cases), 5,314 DM (57.79 [7.39]; 361 CAD, 153 IS, and 497 CCD cases), and 20,770 DL patients (55.34 [7.63]; 768 CAD, 295 IS, and 1,039 CCD cases). Six genome-wide significant CVD risk loci were identified, with relatively large effect sizes: 1 locus in HTN (HTN-CAD: 17q25.3/CBX8-CBX4 [OR, 2.607; P = 6.37 × 10-9]), 2 in DM (DM-IS: 4q32.3/MARCH1-LINC01207 [OR, 5.587; P = 1.34 × 10-8], and DM-CCD: 17q25.3/RPTOR [OR, 3.511; P = 1.99 × 10-8]), and 3 in DL (DL-CAD: 9q22.2/UNQ6494-LOC101927847 [OR, 2.282; P = 7.78 × 10-9], DL-IS: 3p22.1/ULK4 [OR, 2.162; P = 2.97 × 10-8], and DL-CCD: 2p22.2/CYP1B1-CYP1B1-AS1 [OR, 2.027; P = 4.24 × 10-8]). CONCLUSIONS: This study identified 6 susceptibility loci and positional candidate genes for CVDs in HTN, DM, and DL patients using an unprecedented study design. 1 locus (17q25.3) was commonly associated with CAD. These associations warrant validation in additional studies for potential therapeutic applications.
Subject(s)
Cardiovascular Diseases , Coronary Artery Disease , Diabetes Mellitus , Dyslipidemias , Hypertension , Adult , Cardiovascular Diseases/complications , Cardiovascular Diseases/genetics , Dyslipidemias/complications , Dyslipidemias/genetics , Genome-Wide Association Study , Humans , Hypertension/complications , Hypertension/genetics , Ligases , Polycomb Repressive Complex 1 , Polycomb-Group Proteins , Prospective Studies , Protein Serine-Threonine Kinases , Risk FactorsABSTRACT
OBJECTIVE: To characterize the demographic and clinical features of pediatric severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) syndromes and identify admission variables predictive of disease severity. STUDY DESIGN: We conducted a multicenter, retrospective, and prospective study of pediatric patients hospitalized with acute SARS-CoV-2 infections and multisystem inflammatory syndrome in children (MIS-C) at 8 sites in New York, New Jersey, and Connecticut. RESULTS: We identified 281 hospitalized patients with SARS-CoV-2 infections and divided them into 3 groups based on clinical features. Overall, 143 (51%) had respiratory disease, 69 (25%) had MIS-C, and 69 (25%) had other manifestations including gastrointestinal illness or fever. Patients with MIS-C were more likely to identify as non-Hispanic black compared with patients with respiratory disease (35% vs 18%, P = .02). Seven patients (2%) died and 114 (41%) were admitted to the intensive care unit. In multivariable analyses, obesity (OR 3.39, 95% CI 1.26-9.10, P = .02) and hypoxia on admission (OR 4.01; 95% CI 1.14-14.15; P = .03) were predictive of severe respiratory disease. Lower absolute lymphocyte count (OR 8.33 per unit decrease in 109 cells/L, 95% CI 2.32-33.33, P = .001) and greater C-reactive protein (OR 1.06 per unit increase in mg/dL, 95% CI 1.01-1.12, P = .017) were predictive of severe MIS-C. Race/ethnicity or socioeconomic status were not predictive of disease severity. CONCLUSIONS: We identified variables at the time of hospitalization that may help predict the development of severe SARS-CoV-2 disease manifestations in children and youth. These variables may have implications for future prognostic tools that inform hospital admission and clinical management.
Subject(s)
COVID-19/epidemiology , Hospitalization , Severity of Illness Index , Systemic Inflammatory Response Syndrome/epidemiology , Adolescent , Biomarkers/analysis , C-Reactive Protein/analysis , COVID-19/blood , Child , Child, Preschool , Connecticut/epidemiology , Female , Humans , Hypoxia/epidemiology , Infant , Intensive Care Units , Lymphocyte Count , Male , Multivariate Analysis , New Jersey/epidemiology , New York/epidemiology , Pediatric Obesity/epidemiology , Procalcitonin/blood , Prospective Studies , Retrospective Studies , Systemic Inflammatory Response Syndrome/blood , Troponin/blood , Young AdultABSTRACT
OBJECTIVES: To describe the association between left heart decompression on veno-arterial extracorporeal membrane oxygenation and survival in patients with myocarditis and dilated cardiomyopathy. The secondary outcome is to study association of left heart decompression with survival in children with myocarditis compared with those with dilated cardiomyopathy. DESIGN: Retrospective study of a multicenter registry database. SETTING: Data reported to Extracorporeal Life Support Organization from international extracorporeal membrane oxygenation centers. PATIENTS: Patients less than or equal to 18 years old with a diagnosis of myocarditis or dilated cardiomyopathy receiving extracorporeal membrane oxygenation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 1,438 pediatric extracorporeal membrane oxygenation runs were identified. Thirty-seven percent of the patients had myocarditis (n = 532), whereas the rest had dilated cardiomyopathy. Survival to hospital discharge was 63%. Median extracorporeal membrane oxygenation duration was 148 hours with interquartile range (84-248 hr). Nineteen percent of patients (n = 274) had left heart decompression. Multivariable analysis revealed using left heart decompression (adjusted odds ratio, 1.42; 95% CI, 1.06-1.89; p = 0.02), e-cardiopulmonary resuscitation (adjusted odds ratio, 0.63; 95% CI, 0.51-0.79; p < 0.001), higher pH (adjusted odds ratio, 3.69; 95% CI, 1.80-7.53; p < 0.001), and diagnosis of myocarditis (adjusted odds ratio, 1.69; 95% CI, 1.35-2.08; p < 0.001) were associated with greater odds of survival. In the multivariable analysis for patients with dilated cardiomyopathy, left heart decompression failed to reveal a significant association with survival (20% among survivors vs 17% among nonsurvivors, 95% CI, -2.2% to 8.0%). Meanwhile in patients with myocarditis, the multivariable analysis failed to exclude the possibility that left heart decompression was associated with up to a three-fold greater odds of survival (adjusted odds ratio, 1.77; 95% CI, 0.99-.15). CONCLUSIONS: Retrospective review of the Extracorporeal Life Support Organization registry revealed an association between left heart decompression and greater odds of survival in children with myocarditis and dilated cardiomyopathy on extracorporeal membrane oxygenation. When comparing patients with dilated cardiomyopathy against those with myocarditis, we could not exclude a three-fold greater odds of survival associated with the use of left heart decompression. This finding warrants further prospective evaluation.
Subject(s)
Cardiomyopathy, Dilated , Extracorporeal Membrane Oxygenation , Myocarditis , Cardiomyopathy, Dilated/complications , Cardiomyopathy, Dilated/therapy , Child , Decompression , Humans , Infant , Myocarditis/complications , Myocarditis/diagnosis , Myocarditis/therapy , Registries , Retrospective Studies , Time FactorsABSTRACT
OBJECTIVES: We investigated the impact of anemia based on admission hemoglobin (Hb) level as a prognostic risk factor for severe outcomes in hospitalized patients with coronavirus disease 2019 (COVID-19). METHODS: A single-center, retrospective cohort study was conducted from a random sample of 733 adult patients (age ≥ 18 years) obtained from a total of 4356 laboratory confirmed SARS-CoV-2 cases who presented to the Emergency Department of Montefiore Medical Center between March-June 2020. The primary outcome was a composite endpoint of in-hospital severe outcomes of COVID-19. A secondary outcome was in-hospital all-cause mortality. RESULTS: Among the 733 patients included in our final analysis, 438 patients (59.8%) presented with anemia. 105 patients (14.3%) had mild, and 333 patients (45.5%) had moderate-severe anemia. Overall, 437 patients (59.6%) had a composite endpoint of severe outcomes. On-admission anemia was an independent risk factor for all-cause mortality, (Odds Ratio 1.52, 95% CI [1.01-2.30], p = 0.046) but not for composite severe outcomes. However, moderate-severe anemia (Hb < 11 g/dL) on admission was independently associated with both severe outcomes (OR1.53, 95% CI [1.05-2.23], p = 0.028) and mortality (OR 1.67, 95% CI [1.09-2.56], p = 0.019) during hospitalization. CONCLUSION: Anemia on admission was independently associated with increased odds of all-cause mortality in patients hospitalized with COVID-19. Furthermore, moderate-severe anemia (Hb <11 g/dL) was an independent risk factor for severe COVID-19 outcomes. Moving forward, COVID-19 patient management and risk stratification may benefit from addressing anemia on admission.
Subject(s)
Acute Kidney Injury/epidemiology , Anemia/blood , COVID-19/blood , Hospital Mortality , Hypotension/epidemiology , Respiratory Insufficiency/epidemiology , Shock, Septic/epidemiology , Aged , Aged, 80 and over , Anemia/therapy , Blood Transfusion/statistics & numerical data , COVID-19/mortality , Cause of Death , Cohort Studies , Female , Hemoglobins/metabolism , Hospitalization , Humans , Intensive Care Units , Male , Middle Aged , Respiration, Artificial/statistics & numerical data , Retrospective Studies , SARS-CoV-2 , Severity of Illness IndexABSTRACT
OBJECTIVE: Our objective was to determine if the duration off respiratory support prior to discharge home from the neonatal intensive care unit (NICU) would impact hospital readmission rates among extremely low gestational age neonates (ELGAN). STUDY DESIGN: In this retrospective chart review, we examined readmission rates for ELGAN admitted to the Montefiore-Weiler NICU between 2013 and 2015. RESULTS: Of 140 infants born at <29 weeks' gestational age, 30 (21%) of these infants were subsequently readmitted within 90 days, primarily for respiratory complaints. Readmitted infants were born at an earlier gestational age (median = 26 weeks; interquartile range [IQR]: 24-27 weeks) compared to infants who did not require readmission (median = 27 weeks; IQR: 25-28 weeks), p = 0.03. Birth weights were smaller among infants who required readmission, 800 ± 248 g compared to 910 ± 214 g (p = 0.02). Infants with Hispanic ethnicity and those discharged during the spring season were likely to be readmitted. Duration off respiratory support prior to discharge did not predict 90-day readmission rates. Lower gestational age and birth weight were associated with higher rates of readmissions after NICU discharge. CONCLUSION: Duration off and invasiveness of respiratory support prior to discharge did not predict risk of 90-day readmission nor did discharge during months with traditionally higher prevalence of respiratory viruses.
Subject(s)
Intensive Care Units, Neonatal , Patient Readmission , Female , Gestational Age , Hispanic or Latino , Humans , Infant , Infant, Extremely Premature , Infant, Newborn , Infant, Very Low Birth Weight , Male , Patient Discharge , Prognosis , Retrospective Studies , Risk Factors , Seasons , Time FactorsABSTRACT
In this article, we discuss the role of formal advocacy education with high-effort advocacy activities among pediatricians. We discuss the historical role of advocacy in the field of pediatrics and the changing role of advocacy education in pediatric training programs. We describe our survey of pediatricians in New York, in which we asked about a history of formal child health advocacy education, current high- and low-effort advocacy activities, perceived barriers to advocacy work, and child health advocacy issues of interest. Our findings demonstrate an association between a history of formal child health advocacy education and recent participation in high-effort advocacy activities on behalf of children's health. We also found that practicing pediatricians were more likely to participate in high-effort advocacy work than individuals still in pediatric residency training. Our findings imply that education in child health advocacy should be considered an important part of pediatric training. Advocacy education should not only be included in residency and fellowship training programs but also made available as part of continuing medical education for pediatricians. Time for professional advocacy work should be allotted and encouraged.
Subject(s)
Child Health , Internship and Residency , Child , Child Advocacy , Humans , Pediatricians , Surveys and QuestionnairesABSTRACT
OBJECTIVES: To describe the clinical manifestations and outcomes of critically ill children with coronavirus disease-19 (COVID-19) in New York City. STUDY DESIGN: Retrospective observational study of children 1 month to 21 years admitted March 14 to May 2, 2020, to 9 New York City pediatric intensive care units (PICUs) with severe acute respiratory syndrome coronavirus 2 infection. RESULTS: Of 70 children admitted to PICUs, median age was 15 (IQR 9, 19) years; 61.4% male; 38.6% Hispanic; 32.9% black; and 74.3% with comorbidities. Fever (72.9%) and cough (71.4%) were the common presenting symptoms. Twelve patients (17%) met severe sepsis criteria; 14 (20%) required vasopressor support; 21 (30%) developed acute respiratory distress syndrome (ARDS); 9 (12.9%) met acute kidney injury criteria; 1 (1.4%) required renal-replacement therapy, and 2 (2.8%) had cardiac arrest. For treatment, 27 (38.6%) patients received hydroxychloroquine; 13 (18.6%) remdesivir; 23 (32.9%) corticosteroids; 3 (4.3%) tocilizumab; and 1 (1.4%) anakinra; no patient was given immunoglobulin or convalescent plasma. Forty-nine (70%) patients required respiratory support: 14 (20.0%) noninvasive mechanical ventilation, 20 (28.6%) invasive mechanical ventilation (IMV), 7 (10%) prone position, 2 (2.8%) inhaled nitric oxide, and 1 (1.4%) extracorporeal membrane oxygenation. Nine (45%) of the 20 patients requiring IMV were extubated by day 14 with median IMV duration of 218 (IQR 79, 310.4) hours. Presence of ARDS was significantly associated with duration of PICU and hospital stay, and lower probability of PICU and hospital discharge at hospital day 14 (P < .05 for all). CONCLUSIONS: Critically ill children with COVID-19 predominantly are adolescents, have comorbidities, and require some form of respiratory support. The presence of ARDS is significantly associated with prolonged PICU and hospital stay.
Subject(s)
COVID-19/diagnosis , Adolescent , Antiviral Agents/therapeutic use , COVID-19/epidemiology , COVID-19/therapy , Child , Child, Preschool , Combined Modality Therapy , Comorbidity , Critical Care/methods , Critical Illness , Female , Follow-Up Studies , Humans , Infant , Length of Stay/statistics & numerical data , Male , New York City/epidemiology , Respiratory Therapy/methods , Retrospective Studies , Treatment Outcome , Young AdultABSTRACT
Objective: Azithromycin has anti-inflammatory properties in the lungs and decreases the duration of asthma-like episodes in children. We sought to evaluate length of stay (LOS) and readmission rates of children receiving azithromycin therapy during hospitalization for acute asthma exacerbations.Methods: This was a retrospective cohort study at an urban, quaternary-care children's hospital including patients under 18 years old hospitalized for asthma, without concurrent infection, from 2002 to 2011. The primary predictor was azithromycin therapy administered within 48 hours of admission. The primary outcome was LOS and the secondary outcomes were 7, 30, and 90-day hospital readmission rates for asthma.Results: Azithromycin therapy was administered to 174 (3%) of 5335 unique patients admitted for asthma, without concurrent infection, over the 10-year period. The overall median LOS was 2.3 days [Interquartile range, 1.8-3.1] and 9% (480) were readmitted for asthma within 90 days of discharge. Azithromycin therapy was associated with a 20% (11 hour) longer LOS (adjusted beta coefficient for log-transformed LOS, 0.18; 95% Confidence Interval (CI): 0.11-0.26), less than the 29% (16 hour) difference determined a priori as clinically relevant. Azithromycin therapy was not associated with 90-day readmission for asthma (adjusted odds ratio, 0.89; 95% CI: 0.46-1.72]. The limited number of 7 and 30-day readmissions in the azithromycin treated group precluded adjusted analysis.Conclusions: Azithromycin therapy was not associated with a clinically relevant difference in hospital LOS or with readmission rates for children hospitalized with asthma. Prospective trials are needed to determine the clinical effects of azithromycin therapy in children with asthma.