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Asthma is a heterogeneous disease, with multiple underlying inflammatory pathways and structural airway abnormalities that impact disease persistence and severity. Recent progress has been made in developing targeted asthma therapeutics, especially for subjects with eosinophilic asthma. However, there is an unmet need for new approaches to treat patients with severe and exacerbation-prone asthma, who contribute disproportionately to disease burden. Extensive deep phenotyping has revealed the heterogeneous nature of severe asthma and identified distinct disease subtypes. A current challenge in the field is to translate new and emerging knowledge about different pathobiologic mechanisms in asthma into patient-specific therapies, with the ultimate goal of modifying the natural history of disease. Here, we describe the Precision Interventions for Severe and/or Exacerbation-Prone Asthma (PrecISE) Network, a groundbreaking collaborative effort of asthma researchers and biostatisticians from around the United States. The PrecISE Network was designed to conduct phase II/proof-of-concept clinical trials of precision interventions in the population with severe asthma, and is supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health. Using an innovative adaptive platform trial design, the PrecISE Network will evaluate up to 6 interventions simultaneously in biomarker-defined subgroups of subjects. We review the development and organizational structure of the PrecISE Network, and choice of interventions being studied. We hope that the PrecISE Network will enhance our understanding of asthma subtypes and accelerate the development of therapeutics for severe asthma.

Severe asthma accounts for almost half the cost associated with asthma. Severe asthma is driven by heterogeneous molecular mechanisms. Conventional clinical trial design often lacks the power and efficiency to target subgroups with specific pathobiological mechanisms. Furthermore, the validation and approval of new asthma therapies is a lengthy process. A large proportion of that time is taken by clinical trials to validate asthma interventions. The National Institutes of Health Precision Medicine in Severe and/or Exacerbation Prone Asthma (PrecISE) program was established with the goal of designing and executing a trial that uses adaptive design techniques to rapidly evaluate novel interventions in biomarker-defined subgroups of severe asthma, while seeking to refine these biomarker subgroups, and to identify early markers of response to therapy. The novel trial design is an adaptive platform trial conducted under a single master protocol that incorporates precision medicine components. Furthermore, it includes innovative applications of futility analysis, cross-over design with use of shared placebo groups, and early futility analysis to permit more rapid identification of effective interventions. The development and rationale behind the study design are described. The interventions chosen for the initial investigation and the criteria used to identify these interventions are enumerated. The biomarker-based adaptive design and analytic scheme are detailed as well as special considerations involved in the final trial design.

The Precision Interventions for Severe and/or Exacerbation-prone Asthma (PrecISE) study is an adaptive platform trial designed to investigate novel interventions to severe asthma. The study is conducted under a master protocol and utilizes a crossover design with each participant receiving up to five interventions and at least one placebo. Treatment assignments are based on the patients' biomarker profiles and precision health methods are incorporated into the interim and final analyses. We describe key elements of the PrecISE study including the multistage adaptive enrichment strategy, early stopping of an intervention for futility, power calculations, and the primary analysis strategy.

BACKGROUND:Lack of evidence-based outcomes data leads to uncertainty in developing treatment regimens in children who are newly diagnosed with ulcerative colitis. We hypothesised that pretreatment clinical, transcriptomic, and microbial factors predict disease course. METHODS:In this inception cohort study, we recruited paediatric patients aged 4-17 years with newly diagnosed ulcerative colitis from 29 centres in the USA and Canada. Patients initially received standardised mesalazine or corticosteroids, with pre-established criteria for escalation to immunomodulators (ie, thiopurines) or anti-tumor necrosis factor-α (TNFα) therapy. We used RNA sequencing to define rectal gene expression before treatment, and 16S sequencing to characterise rectal and faecal microbiota. The primary outcome was week 52 corticosteroid-free remission with no therapy beyond mesalazine. We assessed factors associated with the primary outcome using logistic regression models of the per-protocol population. This study is registered with ClinicalTrials.gov, number NCT01536535. FINDINGS:Between July 10, 2012, and April 21, 2015, of 467 patients recruited, 428 started medical therapy, of whom 400 (93%) were evaluable at 52 weeks and 386 (90%) completed the study period with no protocol violations. 150 (38%) of 400 participants achieved week 52 corticosteroid-free remission, of whom 147 (98%) were taking mesalazine and three (2%) were taking no medication. 74 (19%) of 400 were escalated to immunomodulators alone, 123 (31%) anti-TNFα therapy, and 25 (6%) colectomy. Low baseline clinical severity, high baseline haemoglobin, and week 4 clinical remission were associated with achieving week 52 corticosteroid-free remission (n=386, logistic model area under the curve [AUC] 0·70, 95% CI 0·65-0·75; specificity 77%, 95% CI 71-82). Baseline severity and remission by week 4 were validated in an independent cohort of 274 paediatric patients with newly diagnosed ulcerative colitis. After adjusting for clinical predictors, an antimicrobial peptide gene signature (odds ratio [OR] 0·57, 95% CI 0·39-0·81; p=0·002) and abundance of Ruminococcaceae (OR 1·43, 1·02-2·00; p=0·04), and Sutterella (OR 0·81, 0·65-1·00; p=0·05) were independently associated with week 52 corticosteroid-free remission. INTERPRETATION:Our findings support the utility of initial clinical activity and treatment response by 4 weeks to predict week 52 corticosteroid-free remission with mesalazine alone in children who are newly diagnosed with ulcerative colitis. The development of personalised clinical and biological signatures holds the promise of informing ulcerative colitis therapeutic decisions. FUNDING:US National Institutes of Health.

Background:In contrast to pediatric Crohn's disease (CD), little is known in pediatric ulcerative colitis (UC) about the relationship between disease phenotype and serologic reactivity to microbial and other antigens. Aim:The aim of this study was to examine disease phenotype and serology in a well-characterized inception cohort of children newly diagnosed with UC during the PROTECT Study (Predicting Response to Standardized Pediatric Colitis Therapy). Methods:Patients were recruited from 29 participating centers. Demographic, clinical, laboratory, and serologic (pANCA, ASCA IgA/IgG, Anti-CBir1, and Anti-OmpC) data were obtained from children 4-17 years old with UC. Results:Sixty-five percent of the patients had positive serology for pANCA, with 62% less than 12 years old and 66% 12 years old or older. Perinuclear anti-neutrophil cytoplasmic antibodies did not correspond to a specific phenotype though pANCA ≥100, found in 19%, was strongly associated with pancolitis (P = 0.003). Anti-CBir1 was positive in 19% and more common in younger children with 32% less than 12 years old as compared with 14% 12 years old or older (P < 0.001). No association was found in any age group between pANCA and Anti-CBir1. Relative rectal sparing was more common in +CBir1, 16% versus 7% (P = 0.02). Calprotectin was lower in Anti-CBir1+ (Median [IQR] 1495 mcg/g [973-3333] vs 2648 mcg/g [1343-4038]; P = 0.04). Vitamin D 25-OH sufficiency was associated with Anti-CBir1+ (P = 0.0009). Conclusions:The frequency of pANCA in children was consistent with adult observations. High titer pANCA was associated with more extensive disease, supporting the idea that the magnitude of immune reactivity may reflect disease severity. Anti-CBir1+ was more common in younger ages, suggesting host-microbial interactions may differ by patient age.

Objectives. This is a study of the effects on prenatal care and birth outcomes of Florida's July 1989 expansion in the Medicaid income eligibility threshold for pregnant women. Methods. Concurrent and longitudinal comparisons were performed with matched birth and death certificates, hospital discharge data, Medicaid eligibility records, and records from county health departments for women giving birth from July 1988 to June 1989 (n = 56 101) or in calendar year 1991 (n = 78 421). Measures included amount and timing of prenatal care and rates of low birthweight and infant deaths. Results. The Medicaid expansion led to greater access and improved birth outcomes. For example, the rate of low-birthweight infants among low-income women without private insurance fell from 67.9 to 61.8 per 1000, while it remained unchanged for low-income women with private insurance. Women in the expansion group who used county health departments had fewer low-birthweight infants than those using other delivery systems. Conclusions. The benefits from the Florida expansion appear to be greater than those reported for other states. The role of the public health delivery system may account for some of Florida's success. (Am J Public Hearth. 1998;88:371-376)

The health care reform debate in the US often touched in the need to provide universal health care coverage. Proposals toward this goal have emphasized the importance of measuring the additional cost of providing coverage to the uninsured segment of the population. Estimates of this figure, called the uninsured access gap, diverge widely in the literature. However, accounting for differences in definitions, survey samples, period of study and control variables lead to estimates that are relatively close to each other and suggest a 2% increase in health care costs due to the extension of coverage.

Objectives. The purpose of this study was to estimate the aggregate annual costs of maternal and infant health care and to describe the flow of funds that finance that care. Methods. Estimates of costs and financing based on household and provider surveys, third-party claims data, and hospital discharge data were combined into a single, best estimate. Results. The total cost of perinatal care in 1989 was $27.8 billion, or $6850 per mother-infant pair. Payments made directly by patients or third parties for this care totaled $25.4 billion, or about 7% of personal health care spending by the nonaged population. Payments were less than costs because they did not include a value for direct delivery care or for bad debt and charity care, which accounted for $2.4 billion. Private insurance accounted for about 63% of total payments, and Medicaid accounted for 17% of the total. Conclusions. National health reform would provide windfall receipts to hospitals, which would receive payment for the considerable bad debt and charity care they provide. Reform might also provide short-term gains to providers as private payment rates are substituted for those of Medicaid. (Am J Public Health. 1994;84:1473-1478), Costs of medical care can be estimated and evaluated in a number of ways. Using a more complex method, an estimate of the total cost of obstetrics, gynecology, prenatal care, hospitalization for labor and delivery and other related health services for mothers and newborns totalled about $27.8 billion in the US in 1989. This averages to $6,850 per mother and infant. The method used to calculate this estimate included more specific information than most other estimates. It was based not as much on charges assigned, but on actual payments and costs. It also used administrative records to estimate service provision, analyzed by individual occurrence as much as possible. In addition, this analysis looked at sources of payment and the results indicate that almost $2 billion in costs were paid by third party private payers, even though they were not costs to patients of private payers. This appears to be cost-shifting from non-paying or partial-paying patients. This situation may have changed after 1989, when Medicaid expanded its coverage of pregnant women and infants.