ABSTRACT
BACKGROUND: Despite expectant management, preeclampsia remote from term usually results in preterm delivery. Antithrombin, which displays antiinflammatory and anticoagulant properties, may have a therapeutic role in treating preterm preeclampsia, a disorder characterized by endothelial dysfunction, inflammation, and activation of the coagulation system. OBJECTIVE: This randomized, placebo-controlled clinical trial aimed to evaluate whether intravenous recombinant human antithrombin could prolong gestation and therefore improve maternal and fetal outcomes. STUDY DESIGN: We performed a double-blind, placebo-controlled trial at 23 hospitals. Women were eligible if they had a singleton pregnancy, early-onset or superimposed preeclampsia at 23 0/7 to 30 0/7 weeks' gestation, and planned expectant management. In addition to standard therapy, patients were randomized to receive either recombinant human antithrombin 250 mg loading dose followed by a continuous infusion of 2000 mg per 24 hours or an identical saline infusion until delivery. The primary outcome was days gained from randomization until delivery. The secondary outcome was composite neonatal morbidity score. A total of 120 women were randomized. RESULTS: There was no difference in median gestational age at enrollment (27.3 weeks' gestation for the recombinant human antithrombin group [range, 23.1-30.0] and 27.6 weeks' gestation for the placebo group [range, 23.0-30.0]; P=.67). There were no differences in median increase in days gained (5.0 in the recombinant human antithrombin group [range, 0-75] and 6.0 for the placebo group [range, 0-85]; P=.95). There were no differences between groups in composite neonatal morbidity scores or in maternal complications. No safety issues related to recombinant human antithrombin were noted in this study, despite the achievement of supraphysiological antithrombin concentrations. CONCLUSION: The administration of recombinant human antithrombin in preterm preeclampsia neither prolonged pregnancy nor improved neonatal or maternal outcomes.
Subject(s)
Antithrombin Proteins/therapeutic use , Cesarean Section/statistics & numerical data , Gestational Age , Pre-Eclampsia/drug therapy , Administration, Intravenous , Adolescent , Adult , Delivery, Obstetric/statistics & numerical data , Double-Blind Method , Female , Fetal Distress/epidemiology , Humans , Infant, Premature, Diseases/epidemiology , Infant, Small for Gestational Age , Middle Aged , Neonatal Sepsis/epidemiology , Perinatal Mortality , Pre-Eclampsia/blood , Pre-Eclampsia/physiopathology , Pregnancy , Pregnancy Trimester, Second , Pregnancy Trimester, Third , Prospective Studies , Recombinant Proteins , Young AdultSubject(s)
Artifacts , Pulmonary Disease, Chronic Obstructive , Documentation , Humans , Patient ReadmissionABSTRACT
Intellectual disability (ID), often attributed to autosomal-recessive mutations, occurs in 40% of autism spectrum disorders (ASDs). For this reason, we conducted a genome-wide analysis of runs of homozygosity (ROH) in simplex ASD-affected families consisting of a proband diagnosed with ASD and at least one unaffected sibling. In these families, probands with an IQ ≤ 70 show more ROH than their unaffected siblings, whereas probands with an IQ > 70 do not show this excess. Although ASD is far more common in males than in females, the proportion of females increases with decreasing IQ. Our data do support an association between ROH burden and autism diagnosis in girls; however, we are not able to show that this effect is independent of low IQ. We have also discovered several autism candidate genes on the basis of finding (1) a single gene that is within an ROH interval and that is recurrent in autism or (2) a gene that is within an autism ROH block and that harbors a homozygous, rare deleterious variant upon analysis of exome-sequencing data. In summary, our data suggest a distinct genetic architecture for participants with autism and co-occurring intellectual disability and that this architecture could involve a role for recessively inherited loci for this autism subgroup.
Subject(s)
Child Development Disorders, Pervasive/genetics , Genetic Association Studies/methods , Intellectual Disability/genetics , Child , Chromosomes, Human/genetics , Female , Genetic Diseases, Inborn/genetics , Genetic Predisposition to Disease/genetics , Genetics, Population/methods , Homozygote , Humans , Intelligence Tests , Male , Pedigree , Phenotype , Sex FactorsABSTRACT
OBJECTIVE: Physical activity (PA) is hypothesized to reduce the risk of preeclampsia, but few epidemiologic studies have simultaneously evaluated leisure time PA (LTPA), sedentary activity, occupational activity, and non-occupational, non-leisure time PA. Thus, we assessed the independent and combined effects of these different types of PA during pregnancy on preeclampsia and gestational hypertension risk. METHODS: Preeclamptic (n = 258), gestational hypertensive (n = 233), and normotensive (n = 182) women identified from Iowa live birth records (2002-2005) were participants in Study of Pregnancy Hypertension in Iowa. Disease status was verified by medical chart review. All PA exposures were self-reported. Multinomial logistic regression was used to test for associations between various PA types and risk for preeclampsia or gestational hypertension. RESULTS: After adjusting for prepregnancy BMI, increasing levels of LTPA were associated with a reduced risk of preeclampsia (trend, p = 0.02). Additionally, increasing amount of time spent active each day was associated with decreasing risks for preeclampsia (adjusted, trend; p = 0.03). Increasing amount of time spent sitting per day was associated with an increasing risk of preeclampsia (adjusted, trend; p = 0.10). Women whose activity averaged >8.25 h per day were at a significantly reduced risk of preeclampsia relative to women active <4.2 h per day (adjusted OR 0.58, 95 % CI 0.36, 0.95). Most analyses evaluating the risk of gestational hypertension yielded null results or results that trended in the direction opposite of the preeclampsia results. CONCLUSION: Consistent with previous studies, these data suggest increasing PA during pregnancy may reduce preeclampsia risk while increasing levels of sedentary activity may increase disease risk.
Subject(s)
Employment , Exercise , Hypertension, Pregnancy-Induced/etiology , Leisure Activities , Pre-Eclampsia/etiology , Adolescent , Adult , Case-Control Studies , Epidemiologic Studies , Female , Humans , Hypertension, Pregnancy-Induced/epidemiology , Iowa/epidemiology , Logistic Models , Pre-Eclampsia/epidemiology , Pregnancy , Risk Factors , Young AdultABSTRACT
OBJECTIVES: The purpose of this analysis was to evaluate the use of recombinant human antithrombin (rhAT) in preventing venous thromboembolism (VTE) in pregnant patients with hereditary AT deficiency (HATD). STUDY DESIGN: Data from two clinical trials were pooled. Dosing of rhAT was based on body weight and baseline AT activity, started up to 24 hours before scheduled induction or cesarean delivery, or at the onset of labor. RESULTS: A total of 21 pregnant HATD patients were enrolled. Mean rhAT therapy duration was 4.3 days and dose was 245.1 IU/kg/day. All patients achieved target mean AT activity (80-120% of normal) during rhAT therapy. There were no confirmed VTEs during rhAT treatment or within 7 ( ± 1) days after dosing. Two VTE events (one deep vein thrombosis and one pulmonary embolism) occurred 11 and 14 days after discontinuation of rhAT, in patients managed with prophylactic doses of heparin or low-molecular-weight heparin following delivery. CONCLUSION: rhAT was safe and effective in pregnant HATD patients when administered during the peripartum period, the period of highest VTE risk and a time when anticoagulation therapy is normally withheld. Pregnant HATD patients may benefit from therapeutic, rather than prophylactic, doses of anticoagulation after delivery to protect against postpartum VTE.
Subject(s)
Anticoagulants/administration & dosage , Antithrombin III Deficiency/drug therapy , Antithrombin III/administration & dosage , Heparin, Low-Molecular-Weight/administration & dosage , Venous Thrombosis/prevention & control , Adult , Female , Heparin, Low-Molecular-Weight/adverse effects , Humans , Internationality , Peripartum Period , Pregnancy , Recombinant Proteins/administration & dosage , Venous Thrombosis/epidemiology , Young AdultABSTRACT
OBJECTIVE: Estimate the association between smoking and emergency care in the past 12 months among asthmatic adults in a nationally representative sample. METHODS: Using the 2011 Asthma Call-Back Survey, the association between smoking status and emergency department (ED) and urgent visits among asthmatic adults (n = 12 339) was assessed through multivariable logistic regression by a cross-sectional study design. Analyses used survey weights for US population-based estimates. Attributable and population attributable risk were calculated to describe the potential benefits of smoking cessation. RESULTS: Adjusting for potential confounders, during the past 12 months former smokers had 1.30 (95% CI: 0.97, 1.74) times the odds and current smokers had 1.46 (95% CI: 1.05, 2.03) times the odds of visiting the ED compared to never smokers. Former smokers had 1.28 (95% CI: 0.99, 1.65) times the odds and current smokers had 1.29 (95% CI: 0.96, 1.73) times the odds of urgent visits compared to never smokers. Among adult asthmatics, an estimated 9% of ED visits and 6% of urgent visits can be attributed to current smoking while 7% of ED visits and 7% of urgent visits can be attributed to former smoking. CONCLUSIONS: Current and former smokers are more likely to need emergency care than never smokers. About 10% of emergency care visits among asthmatics can be attributed to smoking assuming smoking is causally related to emergency care. Long-term effective management of asthma, particularly the prevention and cessation of smoking, could reduce emergency care use and health care costs.
Subject(s)
Asthma/physiopathology , Emergency Medical Services/statistics & numerical data , Smoking Cessation/statistics & numerical data , Smoking/physiopathology , Adolescent , Adult , Aged , Asthma/epidemiology , Behavioral Risk Factor Surveillance System , Body Mass Index , Cross-Sectional Studies , Emergency Service, Hospital/statistics & numerical data , Female , Humans , Male , Middle Aged , Smoking/epidemiology , Socioeconomic Factors , Young AdultABSTRACT
BACKGROUND: As obesity has increased worldwide, so have levels of obesity during pregnancy and excess gestational weight gain (GWG). The aim of this paper was to describe GWG among American Samoan women and examine the association between GWG and four adverse pregnancy and infant outcomes: cesarean delivery, small- and large-for-gestational age (SGA/LGA), and infant overweight/obesity. METHODS: Data were extracted from prenatal care records of 632 Samoan women. Mixed-effects growth models were used to produce individual weight-for-gestational week curves from which second and third trimester weight gain was estimated. Binary logistic regression was used to examine associations between GWG and the outcomes of interest. RESULTS: Most women were overweight/obese in early pregnancy (86%) and 78% exceeded the Institute of Medicine GWG guidelines. Greater GWG in the second trimester and early pregnancy weight were independently associated with increased odds of a c-section (OR 1.40 [95% CI: 1.08, 1.83]) and OR 1.51 [95% CI: 1.17, 1.95], respectively). Risk of delivering a LGA infant increased with greater third trimester weight gain and higher early pregnancy weight, while second trimester weight gain was negatively associated with SGA. Risk of infant overweight/obesity at 12 months increased with early pregnancy weight (OR: 1.23 [95% CI: 1.01, 1.51]) and infant birthweight. CONCLUSIONS: The high levels of pregnancy obesity and excessive GWG in American Samoa suggest that it is important for physicians to encourage women into prenatal care early and begin education about appropriate GWG and the potential risks of excess weight gain for both the mother and baby.
Subject(s)
Birth Weight , Cesarean Section/statistics & numerical data , Fetal Macrosomia/epidemiology , Gestational Age , Obesity/epidemiology , Pregnancy Complications/epidemiology , Weight Gain , Adult , American Samoa/epidemiology , Cohort Studies , Delivery, Obstetric/statistics & numerical data , Female , Humans , Infant, Newborn , Infant, Small for Gestational Age , Male , Odds Ratio , Overweight/epidemiology , Pregnancy , Retrospective Studies , Young AdultABSTRACT
Given the high co-occurrence of depression and parental stress among adolescent mothers, we evaluated the relationship between parental stress and postpartum depression among primiparous adolescent mothers. We conducted an observational analysis among a cohort of 106 adolescent mothers at 289 postpartum visits who were enrolled in a randomized controlled trial to prevent postpartum depression. Parental stress was measured using the Parenting Stress Index, short form. The Structured Clinical Interview for DSM-IV Childhood Diagnoses was administered to assess for postpartum depression; subthreshold depression was assessed using the Children's Depression Rating Scale, revised version. Generalized estimating equations were utilized to assess the relationship of parental stress on postpartum depression during the first 6 months postpartum. We present adjusted odds ratios (AOR) controlling for study arm, age, born in the United States, prior history of depression, and number of study visits. The median age was 16 years, 53% were Latina, and 16% reported a past history of depression. Nineteen adolescents (19%) were diagnosed with postpartum depression and 25% experienced high levels of parental stress through 6 months postpartum. Adolescent mothers who reported higher levels of parental stress were at significantly increased risk for postpartum depression [AOR 1.06 (95% CI 1.04-1.09); p < 0.0001]. High levels of parental stress predicted subsequent postpartum depression when assessing parental stress at visits prior to a depression diagnosis to determine whether we could establish a temporal association [AOR 1.06 (95% CI 1.02-1.09); p < 0.01]. Parental stress was also a risk factor for subthreshold depression [AOR 1.04 (95% CI 1.01-1.07); p < 0.01]. Parental stress was a significant risk factor for developing both postpartum depression as well as subthreshold depression among adolescent mothers. Interventions that target a reduction in parental stress may lead to less depression severity among primiparous adolescent mothers.
Subject(s)
Depression, Postpartum/etiology , Mothers/psychology , Pregnancy in Adolescence/psychology , Stress, Psychological/complications , Adolescent , Depression, Postpartum/prevention & control , Female , Humans , Parity , Pregnancy , Psychiatric Status Rating Scales , Social SupportABSTRACT
OBJECTIVE: To determine the feasibility of integrating Medicare Advantage (MA) admissions into the Centers for Medicare & Medicaid Services (CMS) hospital outcome measures through combining Medicare Advantage Organization (MAO) encounter- and hospital-submitted inpatient claims. DATA SOURCES AND STUDY SETTING: Beneficiary enrollment data and inpatient claims from the Integrated Data Repository for 2018 Medicare discharges. STUDY DESIGN: We examined timeliness of MA claims, compared diagnosis and procedure codes for admissions with claims submitted both by the hospital and the MAO (overlapping claims), and compared demographic characteristics and principal diagnosis codes for admissions with overlapping claims versus admissions with a single claim. DATA COLLECTION/EXTRACTION METHODS: We combined hospital- and MAO-submitted claims to capture MA admissions from all hospitals and identified overlapping claims. For admissions with only an MAO-submitted claim, we used provider history data to match the National Provider Identifier on the claim to the CMS Certification Number used for reporting purposes in CMS outcome measures. PRINCIPAL FINDINGS: After removing void and duplicate claims, identifying overlapped claims between the hospital- and MAO-submitted datasets, restricting claims to acute care and critical access hospitals, and bundling same admission claims, we identified 5,078,611 MA admissions. Of these, 76.1% were submitted by both the hospital and MAO, 14.2% were submitted only by MAOs, and 9.7% were submitted only by hospitals. Nearly all (96.6%) hospital-submitted claims were submitted within 3 months after a one-year performance period, versus 85.2% of MAO-submitted claims. Among the 3,864,524 admissions with overlapping claims, 98.9% shared the same principal diagnosis code between the two datasets, and 97.5% shared the same first procedure code. CONCLUSIONS: Inpatient MA data are feasible for use in CMS claims-based hospital outcome measures. We recommend prioritizing hospital-submitted over MAO-submitted claims for analyses. Monitoring, data audits, and ongoing policies to improve the quality of MA data are important approaches to address potential missing data and errors.
ABSTRACT
Importance: Medicare Advantage (MA) enrollment is rapidly expanding, yet Centers for Medicare & Medicaid Services (CMS) claims-based hospital outcome measures, including readmission rates, have historically included only fee-for-service (FFS) beneficiaries. Objective: To assess the outcomes of incorporating MA data into the CMS claims-based FFS Hospital-Wide All-Cause Unplanned Readmission (HWR) measure. Design, Setting, and Participants: This cohort study assessed differences in 30-day unadjusted readmission rates and demographic and risk adjustment variables for MA vs FFS admissions. Inpatient FFS and MA administrative claims data were extracted from the Integrated Data Repository for all admissions for Medicare beneficiaries from July 1, 2018, to June 30, 2019. Measure reliability and risk-standardized readmission rates were calculated for the FFS and MA cohort vs the FFS-only cohort, overall and within specialty subgroups (cardiorespiratory, cardiovascular, medicine, surgery, neurology), then changes in hospital performance quintiles were assessed after adding MA admissions. Main Outcome and Measure: Risk-standardized readmission rates. Results: The cohort included 11â¯029â¯470 admissions (4â¯077â¯633 [37.0%] MA; 6â¯044â¯060 [54.8%] female; mean [SD] age, 77.7 [8.2] years). Unadjusted readmission rates were slightly higher for MA vs FFS admissions (15.7% vs 15.4%), yet comorbidities were generally lower among MA beneficiaries. Test-retest reliability for the FFS and MA cohort was higher than for the FFS-only cohort (0.78 vs 0.73) and signal-to-noise reliability increased in each specialty subgroup. Mean hospital risk-standardized readmission rates were similar for the FFS and MA cohort and FFS-only cohorts (15.5% vs 15.3%); this trend was consistent across the 5 specialty subgroups. After adding MA admissions to the FFS-only HWR measure, 1489 hospitals (33.1%) had their performance quintile ranking changed. As their proportion of MA admissions increased, more hospitals experienced a change in their performance quintile ranking (147 hospitals [16.3%] in the lowest quintile of percentage MA admissions; 408 [45.3%] in the highest). The combined cohort added 63 hospitals eligible for public reporting and more than 4 million admissions to the measure. Conclusions and Relevance: In this cohort study, adding MA admissions to the HWR measure was associated with improved measure reliability and precision and enabled the inclusion of more hospitals and beneficiaries. After MA admissions were included, 1 in 3 hospitals had their performance quintile changed, with the greatest shifts among hospitals with a high percentage of MA admissions.
Subject(s)
Centers for Medicare and Medicaid Services, U.S. , Medicare Part C , Patient Readmission , Humans , Patient Readmission/statistics & numerical data , United States , Female , Male , Medicare Part C/statistics & numerical data , Aged , Centers for Medicare and Medicaid Services, U.S./statistics & numerical data , Aged, 80 and over , Cohort Studies , Fee-for-Service Plans/statistics & numerical data , Reproducibility of Results , Hospitals/statistics & numerical data , Hospitals/standardsABSTRACT
OBJECTIVES: The extent to which care quality influenced outcomes for patients hospitalised with COVID-19 is unknown. Our objective was to determine if prepandemic hospital quality is associated with mortality among Medicare patients hospitalised with COVID-19. DESIGN: This is a retrospective observational study. We calculated hospital-level risk-standardised in-hospital and 30-day mortality rates (risk-standardised mortality rates, RSMRs) for patients hospitalised with COVID-19, and correlation coefficients between RSMRs and pre-COVID-19 hospital quality, overall and stratified by hospital characteristics. SETTING: Short-term acute care hospitals and critical access hospitals in the USA. PARTICIPANTS: Hospitalised Medicare beneficiaries (Fee-For-Service and Medicare Advantage) age 65 and older hospitalised with COVID-19, discharged between 1 April 2020 and 30 September 2021. INTERVENTION/EXPOSURE: Pre-COVID-19 hospital quality. OUTCOMES: Risk-standardised COVID-19 in-hospital and 30-day mortality rates (RSMRs). RESULTS: In-hospital (n=4256) RSMRs for Medicare patients hospitalised with COVID-19 (April 2020-September 2021) ranged from 4.5% to 59.9% (median 18.2%; IQR 14.7%-23.7%); 30-day RSMRs ranged from 12.9% to 56.2% (IQR 24.6%-30.6%). COVID-19 RSMRs were negatively correlated with star rating summary scores (in-hospital correlation coefficient -0.41, p<0.0001; 30 days -0.38, p<0.0001). Correlations with in-hospital RSMRs were strongest for patient experience (-0.39, p<0.0001) and timely and effective care (-0.30, p<0.0001) group scores; 30-day RSMRs were strongest for patient experience (-0.34, p<0.0001) and mortality (-0.33, p<0.0001) groups. Patients admitted to 1-star hospitals had higher odds of mortality (in-hospital OR 1.87, 95% CI 1.83 to 1.91; 30-day OR 1.46, 95% CI 1.43 to 1.48) compared with 5-star hospitals. If all hospitals performed like an average 5-star hospital, we estimate 38 000 fewer COVID-19-related deaths would have occurred between April 2020 and September 2021. CONCLUSIONS: Hospitals with better prepandemic quality may have care structures and processes that allowed for better care delivery and outcomes during the COVID-19 pandemic. Understanding the relationship between pre-COVID-19 hospital quality and COVID-19 outcomes will allow policy-makers and hospitals better prepare for future public health emergencies.
Subject(s)
COVID-19 , Pandemics , Aged , Humans , Hospital Mortality , Hospitals , Medicare , United States/epidemiology , Retrospective StudiesABSTRACT
BACKGROUND: The National Children's Study (NCS) was established as a national probability sample of births to prospectively study children's health starting from in utero to age 21. The primary sampling unit was 105 study locations (typically a county). The secondary sampling unit was the geographic unit (segment), but this was subsequently perceived to be an inefficient strategy. METHODS AND RESULTS: This paper proposes that second-stage sampling using prenatal care providers is an efficient and cost-effective method for deriving a national probability sample of births in the US. It offers a rationale for provider-based sampling and discusses a number of strategies for assembling a sampling frame of providers. Also presented are special challenges to provider-based sampling pregnancies, including optimising key sample parameters, retaining geographic diversity, determining the types of providers to include in the sample frame, recruiting women who do not receive prenatal care, and using community engagement to enrol women. There will also be substantial operational challenges to sampling provider groups. CONCLUSION: We argue that probability sampling is mandatory to capture the full variation in exposure and outcomes expected in a national cohort study, to provide valid and generalisable risk estimates, and to accurately estimate policy (such as screening) benefits from associations reported in the NCS.
Subject(s)
Epidemiologic Methods , Prenatal Care/methods , Adolescent , Child , Child Welfare/statistics & numerical data , Child, Preschool , Female , Humans , Infant , Maternal Welfare/statistics & numerical data , Pregnancy , Prenatal Care/standards , Sampling Studies , Selection Bias , United States , Young AdultABSTRACT
BACKGROUND AND PURPOSE: The majority of persons with multiple sclerosis (MS) experience problems with gait, which they characterize as highly disabling impairments that adversely impact their quality of life. Thus, it is crucial to develop effective therapies to improve mobility for these individuals. The purpose of this study was to determine whether combination gait training, using robot-assisted treadmill training followed by conventional body-weight-supported treadmill training within the same session, improved gait and balance in individuals with MS. METHODS: This study tested combination gait training in 7 persons with MS. The participants were randomized into the immediate therapy group (IT group) or the delayed therapy group (DT group). In phase I of the trial, the IT group received treatment while the DT group served as a concurrent comparison group. In phase II of the trial, the DT group received treatment identical to the treatment received by the IT group in phase I. Outcome measures included the 6-Minute Walk Test (6MWT), the Timed 25-Foot Walk Test, velocity, cadence, and the Functional Reach Test (FRT). Nonparametric statistical techniques were used for analysis. RESULTS: Combination gait training resulted in significantly greater improvements in the 6MWT for the IT group (median change = +59 m) compared with Phase I DT group (median change = -8 m) (P = 0.08) and FRT (median change = +3.3 cm in IT vs -0.8 cm in the DT group phase I; P = 0.03). Significant overall pre-post improvements following combination gait training were found in 6MWT (+32 m; P = 0.02) and FRT (+3.3 cm; P = 0.06) for IT and Phase II DT groups combined. CONCLUSIONS: Combination of robot with body-weight-supported treadmill training gait training is feasible and improved 6MWT and FRT distances in persons with MS.Video Abstract available (see Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A62) for more insights from the authors.
Subject(s)
Exercise Therapy/methods , Gait/physiology , Multiple Sclerosis/rehabilitation , Robotics , Walking/physiology , Adult , Exercise Test , Female , Humans , Male , Middle Aged , Multiple Sclerosis/physiopathology , Pilot Projects , Postural Balance/physiology , Severity of Illness Index , Treatment OutcomeABSTRACT
The authors examined whether early ultrasound dating (≤20 weeks) of gestational age (GA) in small-for-gestational-age (SGA) fetuses may underestimate gestational duration and therefore the incidence of SGA birth. Within a population-based case-control study (May 2002-June 2005) of Iowa SGA births and preterm deliveries identified from birth records (n = 2,709), the authors illustrate a novel methodological approach with which to assess and correct for systematic underestimation of GA by early ultrasound in women with suspected SGA fetuses. After restricting the analysis to subjects with first-trimester prenatal care, a nonmissing date of the last menstrual period (LMP), and early ultrasound (n = 1,135), SGA subjects' ultrasound GA was 5.5 days less than their LMP GA, on average. Multivariable linear regression was conducted to determine the extent to which ultrasound GA predicted LMP dating and to correct for systematic misclassification that results after applying standard guidelines to adjudicate differences in these measures. In the unadjusted model, SGA subjects required a correction of +1.5 weeks to the ultrasound estimate. With adjustment for maternal age, smoking, and first-trimester vaginal bleeding, standard guidelines for adjudicating differences in ultrasound and LMP dating underestimated SGA birth by 12.9% and overestimated preterm delivery by 8.7%. This methodological approach can be applied by researchers using different study populations in similar research contexts.
Subject(s)
Bias , Gestational Age , Infant, Small for Gestational Age , Ultrasonography, Prenatal , Adult , Case-Control Studies , Data Interpretation, Statistical , Female , Humans , Infant, Newborn , Iowa , Linear Models , Male , Multivariate Analysis , PregnancyABSTRACT
BACKGROUND: Previous studies on the associations between ambient pollen exposures and daily respiratory symptoms have produced inconsistent results. We investigated these relationships in a cohort of asthmatic children using pollen exposure models to estimate individual ambient exposures. METHODS: Daily symptoms of wheeze, night symptoms, shortness of breath, chest tightness, persistent cough, and rescue medication use were recorded in a cohort of 430 children with asthma (age 4-12 years) in Connecticut, Massachusetts, and New York. Daily ambient exposures to tree, grass, weed, and total pollen were estimated using mixed-effects models. We stratified analyses by use of asthma maintenance medication and sensitization to grass or weed pollens. Separate logistic regression analyses using generalized estimating equations were performed for each symptom outcome and pollen type. We adjusted analyses for maximum daily temperature, maximum 8-hour average ozone, fine particles (PM2.5), season, and antibiotic use. RESULTS: Associations were observed among children sensitized to specific pollens; these associations varied by use of asthma maintenance medication. Exposures to even relatively low levels of weed pollen (6-9 grains/m(3)) were associated with increased shortness of breath, chest tightness, rescue medication use, wheeze, and persistent cough, compared with lower exposure among sensitized children on maintenance medication. Grass pollen exposures ≥ 2 grains/m(3) were associated with wheeze, night symptoms, shortness of breath, and persistent cough compared with lower exposure among sensitized children who did not take maintenance medication. CONCLUSION: Even low-level pollen exposure was associated with daily asthmatic symptoms.
Subject(s)
Asthma/epidemiology , Pollen/adverse effects , Asthma/etiology , Child , Child, Preschool , Connecticut/epidemiology , Environmental Exposure/adverse effects , Female , Humans , Logistic Models , Male , Massachusetts/epidemiology , New York/epidemiology , Prospective Studies , Seasons , Severity of Illness Index , WeatherABSTRACT
BACKGROUND: The innate immune pathway is important in the pathogenesis of asthma and eczema. However, only a few variants in these genes have been associated with either disease. We investigate the association between polymorphisms of genes in the innate immune pathway with childhood asthma and eczema. In addition, we compare individual associations with those discovered using a multivariate approach. METHODS: Using a novel method, case control based association testing (C2BAT), 569 single nucleotide polymorphisms (SNPs) in 44 innate immune genes were tested for association with asthma and eczema in children from the Boston Home Allergens and Asthma Study and the Connecticut Childhood Asthma Study. The screening algorithm was used to identify the top SNPs associated with asthma and eczema. We next investigated the interaction of innate immune variants with asthma and eczema risk using Bayesian networks. RESULTS: After correction for multiple comparisons, 7 SNPs in 6 genes (CARD25, TGFB1, LY96, ACAA1, DEFB1, and IFNG) were associated with asthma (adjusted p-value<0.02), while 5 SNPs in 3 different genes (CD80, STAT4, and IRAKI) were significantly associated with eczema (adjusted p-value < 0.02). None of these SNPs were associated with both asthma and eczema. Bayesian network analysis identified 4 SNPs that were predictive of asthma and 10 SNPs that predicted eczema. Of the genes identified using Bayesian networks, only CD80 was associated with eczema in the single-SNP study. Using novel methodology that allows for screening and replication in the same population, we have identified associations of innate immune genes with asthma and eczema. Bayesian network analysis suggests that additional SNPs influence disease susceptibility via SNP interactions. CONCLUSION: Our findings suggest that innate immune genes contribute to the pathogenesis of asthma and eczema, and that these diseases likely have different genetic determinants.
Subject(s)
Asthma/genetics , Eczema/genetics , Genetic Association Studies , Genetic Predisposition to Disease , Immunity, Innate/genetics , Algorithms , Bayes Theorem , Child, Preschool , Female , Humans , Male , Polymorphism, Single NucleotideABSTRACT
We studied 1163 sexually-active HIV-infected South African men and women in an urban primary care program to understand patterns of sexual behaviors and whether these behaviors differed by partner HIV status. Overall, 40% reported a HIV-positive partner and 60% a HIV-negative or status unknown partner; and 17.5% reported >2 sex acts in the last 2 weeks, 16.4% unprotected sex in the last 6 months, and 3.7% >1 sex partner in the last 6 months. Antiretroviral therapy (ART) was consistently associated with decreased sexual risk behaviors, as well as with reporting a HIV-negative or status unknown partner. The odds of sexual risk behaviors differed by sex; and were generally higher among participants reporting a HIV-positive partner, but continued among those with a HIV-negative or status unknown partner. These data support ART as a means of HIV prevention. Engaging in sexual risk behaviors primarily with HIV-positive partners was not widely practiced in this setting, emphasizing the need for couples-based prevention.
Subject(s)
HIV Infections/prevention & control , Risk-Taking , Sexual Behavior/psychology , Sexual Partners/psychology , Adult , Anti-Retroviral Agents/therapeutic use , Black People , CD4 Lymphocyte Count , Cross-Sectional Studies , Family Characteristics , Female , HIV Infections/drug therapy , HIV Infections/epidemiology , HIV Infections/psychology , Humans , Male , Middle Aged , Prevalence , Primary Health Care/statistics & numerical data , Self Disclosure , Socioeconomic Factors , South Africa/epidemiology , Surveys and Questionnaires , Urban Population , Young AdultABSTRACT
OBJECTIVES: Low birthweight of the offspring has been associated with increased risk of early death and ischemic heart disease in the mother. However, other measurements of fetal growth than the basic birthweight are more accurate. We investigated the relation between the standardized birthweight by gestational age and gender and the ponderal index and the mother's subsequent mortality and cardiovascular morbidity. DESIGN: Registry-based retrospective cohort study. SETTING: Women with a first singleton delivery in Denmark from 1978 to 2007. POPULATION: 782 287 women followed for 14.6 years yielding 11 600 945 person-years. METHODS: Cox proportional hazard models. MAIN OUTCOME MEASURES: The primary exposures were variation in the standardized birthweight and ponderal index. The endpoints were subsequent maternal death, hypertension, ischemic heart disease, stroke, thrombosis, and diabetes mellitus. RESULTS: The risk-profile for the standardized birthweight and subsequent maternal death had a nadir between -0.5 and -1 SD (HR 0.91; 95%CI 0.83-1.00) and increased with decreasing fetal growth peaking at <-3 SD (HR 2.75; 95%CI 2.37-3.19) compared to the median. The risk-profile for subsequent diabetes mellitus by standardized ponderal index had a nadir between +0.5 to +1 SD (HR 0.82; 95%CI 0.76-0.89) rising with increasing fetal growth and peaking at >+3 SD (HR 17.8; 95%CI 15.0-21.0). The risk-profiles for standardized ponderal index paralleled those for birthweight, but with smaller risk estimates. Adjusting for other pregnancy complications diminished the estimates. CONCLUSION: The fetal growth is a marker of subsequent risk for premature death, cardiovascular disease, and diabetes mellitus in the mother.
Subject(s)
Birth Weight , Cardiovascular Diseases/etiology , Diabetes Mellitus/etiology , Fetal Development , Mortality, Premature , Adolescent , Adult , Cardiovascular Diseases/epidemiology , Cohort Studies , Denmark/epidemiology , Diabetes Mellitus/epidemiology , Female , Follow-Up Studies , Health Status Indicators , Humans , Infant, Newborn , Middle Aged , Pregnancy , Proportional Hazards Models , Reference Standards , Registries , Retrospective Studies , Risk , Young AdultABSTRACT
BACKGROUND: Specific genetic contributions for preeclampsia (PE) are currently unknown. This genome-wide association study (GWAS) aims to identify maternal single nucleotide polymorphisms (SNPs) and copy-number variants (CNVs) involved in the etiology of PE. METHODS: A genome-wide scan was performed on 177 PE cases (diagnosed according to National Heart, Lung and Blood Institute guidelines) and 116 normotensive controls. White female study subjects from Iowa were genotyped on Affymetrix SNP 6.0 microarrays. CNV calls made using a combination of four detection algorithms (Birdseye, Canary, PennCNV, and QuantiSNP) were merged using CNVision and screened with stringent prioritization criteria. Due to limited DNA quantities and the deleterious nature of copy-number deletions, it was decided a priori that only deletions would be selected for assay on the entire case-control dataset using quantitative real-time PCR. RESULTS: The top four SNP candidates had an allelic or genotypic p-value between 10(-5) and 10(-6), however, none surpassed the Bonferroni-corrected significance threshold. Three recurrent rare deletions meeting prioritization criteria detected in multiple cases were selected for targeted genotyping. A locus of particular interest was found showing an enrichment of case deletions in 19q13.31 (5/169 cases and 1/114 controls), which encompasses the PSG11 gene contiguous to a highly plastic genomic region. All algorithm calls for these regions were assay confirmed. CONCLUSIONS: CNVs may confer risk for PE and represent interesting regions that warrant further investigation. Top SNP candidates identified from the GWAS, although not genome-wide significant, may be useful to inform future studies in PE genetics.
Subject(s)
DNA Copy Number Variations , Gene Deletion , Genome-Wide Association Study , Pre-Eclampsia/genetics , Pregnancy-Specific beta 1-Glycoproteins/genetics , Adult , Algorithms , Case-Control Studies , Female , Genetic Predisposition to Disease/genetics , Humans , Phenotype , Polymorphism, Single Nucleotide , Pregnancy , Protein Array Analysis , Young AdultABSTRACT
Accurate assessments of pollen counts are valuable to allergy sufferers, the medical industry, and health researchers; however, monitoring stations do not exist in most areas. In addition, the degree of spatial reliability provided by the limited number of monitoring stations is poorly understood. We developed and compared spatial models to estimate pollen concentrations in locations without monitoring stations. Daily Acer, Quercus, and overall tree, grass, and weed pollen counts, in grains/m(3), were obtained from 14 aeroallergen monitoring stations located in the northeastern and mid-Atlantic region of the United States from 2003 to 2006. Pollen counts were spatially interpolated using ordinary kriging. Mixed effects and generalized estimating equations incorporating daily and seasonal weather characteristics, pollen season characteristics and land-cover information were also developed to estimate daily pollen concentrations. We then compared observed values from a monitoring station to model estimates for that location. Observed counts and kriging estimates for tree pollen differed (p = 0.04), but not when peak periods were removed (p = 0.29). No differences between observed and kriging estimates of Acer (p = 0.46), Quercus (p = 0.24), grass (p = 0.31) or weed pollen (p = 0.29) were found. Estimates from longitudinal models also demonstrated good agreement with observed counts, except for the extremes of pollen distributions. Our results demonstrate that spatial interpolation techniques as well as regression methods incorporating both weather and land-cover characteristics can provide reliable estimates of daily pollen concentrations in areas where monitors do not exist for all but periods of extremely high pollen.