Discordant High Activated Partial Thromboplastin Time Relative to Anti-Xa Values in Hospitalized Patients is an Independent Risk Factor for Increased 30-day Mortality.

BACKGROUND: The activated partial thromboplastin time (aPTT) and anti-factor-Xa levels (anti-Xa) are both used to monitor patients on unfractionated heparin. Our previous study demonstrated that patients with discordant high aPTT relative to anti-Xa had higher rates of mortality and bleeding events. OBJECTIVE: To determine if underlying patient characteristics drive both discordance and adverse outcomes or if discordance is an independent risk factor to adverse outcomes. METHODS: We analyzed all patients hospitalized at the Stanford Hospital between January 2011 and December 2019 who had simultaneous aPTT and anti-Xa levels performed. From the electronic medical record, we extracted and analyzed 51 patient features including baseline coagulation laboratory results, demographics, values of other common laboratories (basic metabolic panel, complete blood count, etc.), diagnostic procedures, medications, and death. RESULTS: A total of 17,728 patients had 78,701 paired aPTT and anti-Xa levels. Patients with discordant aPTT and anti-Xa where aPTT (seconds) was elevated beyond the expected therapeutic range had a higher 30-day mortality (odds ratio [OR]: 2.16, 95% confidence interval [CI]: 1.78-2.63, p < 0.001). Sectioning the patients based on the degree of discordance and whether aPTT or anti-Xa were signaling excess anticoagulation, we found those with an elevated aPTT discordant to their anti-Xa level had the highest odds of death (OR: 2.46, 95% CI: 1.99-3.10) compared with the concordant group. This finding was still present after controlling for patient comorbidity and other laboratory results at hospital admission. CONCLUSION: After controlling for patient features strongly associated with increased mortality in heparinized patients, we identified that the discordant pattern of high aPTT to anti-Xa served as an independent predictor of 30-day all-cause mortality, with a higher degree of discordance associated with increased odds of 30-day mortality.

Elevated cerebrospinal fluid iron and ferritin associated with early severe ventriculomegaly in preterm posthemorrhagic hydrocephalus.

OBJECTIVE: Posthemorrhagic hydrocephalus (PHH) following preterm intraventricular hemorrhage (IVH) is among the most severe sequelae of extreme prematurity and a significant contributor to preterm morbidity and mortality. The authors have previously shown hemoglobin and ferritin to be elevated in the lumbar puncture cerebrospinal fluid (CSF) of neonates with PHH. Herein, they evaluated CSF from serial ventricular taps to determine whether neonates with PHH following severe initial ventriculomegaly had higher initial levels and prolonged clearance of CSF hemoglobin and hemoglobin degradation products compared to those in neonates with PHH following moderate initial ventriculomegaly. METHODS: In this observational cohort study, CSF samples were obtained from serial ventricular taps in premature neonates with severe IVH and subsequent PHH. CSF hemoglobin, ferritin, total iron, total bilirubin, and total protein were quantified using ELISA. Ventriculomegaly on cranial imaging was assessed using the frontal occipital horn ratio (FOHR) and was categorized as severe (FOHR > 0.6) or moderate (FOHR ≤ 0.6). RESULTS: Ventricular tap CSF hemoglobin (mean) and ferritin (initial and mean) were higher in neonates with severe versus moderate initial ventriculomegaly. CSF hemoglobin, ferritin, total iron, total bilirubin, and total protein decreased in a nonlinear fashion over the weeks following severe IVH. Significantly higher levels of CSF ferritin and total iron were observed in the early weeks following IVH in neonates with severe initial ventriculomegaly than in those with initial moderate ventriculomegaly. CONCLUSIONS: Among preterm neonates with PHH following severe IVH, elevated CSF hemoglobin, ferritin, and iron were associated with more severe early ventricular enlargement (FOHR > 0.6 vs ≤ 0.6 at first ventricular tap).

Lessons learned in the Apple Heart Study and implications for the data management of future digital clinical trials.

The digital clinical trial is fast emerging as a pragmatic trial that can improve a trial's design including recruitment and retention, data collection and analytics. To that end, digital platforms such as electronic health records or wearable technologies that enable passive data collection can be leveraged, alleviating burden from the participant and study coordinator. However, there are challenges. For example, many of these data sources not originally intended for research may be noisier than traditionally obtained measures. Further, the secure flow of passively collected data and their integration for analysis is non-trivial. The Apple Heart Study was a prospective, single-arm, site-less digital trial designed to evaluate the ability of an app to detect atrial fibrillation. The study was designed with pragmatic features, such as an app for enrollment, a wearable device (the Apple Watch) for data collection, and electronic surveys for participant-reported outcomes that enabled a high volume of patient enrollment and accompanying data. These elements led to challenges including identifying the number of unique participants, maintaining participant-level linkage of multiple complex data streams, and participant adherence and engagement. Novel solutions were derived that inform future designs with an emphasis on data management. We build upon the excellent framework of the Clinical Trials Transformation Initiative to provide a comprehensive set of guidelines for data management of the digital clinical trial that include an increased role of collaborative data scientists in the design and conduct of the modern digital trial.

The development of a mobile app-focused deduplication strategy for the Apple Heart Study that informs recommendations for future digital trials.

An app-based clinical trial enrolment process can contribute to duplicated records, carrying data management implications. Our objective was to identify duplicated records in real time in the Apple Heart Study (AHS). We leveraged personal identifiable information (PII) to develop a dissimilarity score (DS) using the Damerau-Levenshtein distance. For computational efficiency, we focused on four types of records at the highest risk of duplication. We used the receiver operating curve (ROC) and resampling methods to derive and validate a decision rule to classify duplicated records. We identified 16,398 (4%) duplicated participants, resulting in 419,297 unique participants out of a total of 438,435 possible. Our decision rule yielded a high positive predictive value (96%) with negligible impact on the trial's original findings. Our findings provide principled solutions for future digital trials. When establishing deduplication procedures for digital trials, we recommend collecting device identifiers in addition to participant identifiers; collecting and ensuring secure access to PII; conducting a pilot study to identify reasons for duplicated records; establishing an initial deduplication algorithm that can be refined; creating a data quality plan that informs refinement; and embedding the initial deduplication algorithm in the enrolment platform to ensure unique enrolment and linkage to previous records.

Radiosurgery as a microsurgical adjunct: outcomes after microsurgical resection of intracranial arteriovenous malformations previously treated with stereotactic radiosurgery.

OBJECTIVE: Microsurgical resection of arteriovenous malformations (AVMs) can be aided by staged treatment consisting of stereotactic radiosurgery followed by resection in a delayed fashion. This approach is particularly useful for high Spetzler-Martin (SM) grade lesions because radiosurgery can reduce flow through the AVM, downgrade the SM rating, and induce histopathological changes that additively render the AVM more manageable for resection. The authors present their 28-year experience in managing AVMs with adjunctive radiosurgery followed by resection. METHODS: The authors retrospectively reviewed records of patients treated for cerebral AVMs at their institution between January 1990 and August 2019. All patients who underwent stereotactic radiosurgery (with or without embolization), followed by resection, were included in the study. Of 1245 patients, 95 met the eligibility criteria. Univariate and multivariate regression analyses were performed to assess relationships between key variables and clinical outcomes. RESULTS: The majority of lesions treated (53.9%) were high grade (SM grade IV-V), 31.5% were intermediate (SM grade III), and 16.6% were low grade (SM grade I-II). Hemorrhage was the initial presenting sign in half of all patients (49.5%). Complete resection was achieved among 84% of patients, whereas 16% had partial resection, the majority of whom received additional radiosurgery. Modified Rankin Scale (mRS) scores of 0-2 were achieved in 79.8% of patients, and 20.2% had poor (mRS scores 3-6) outcomes. Improved (44.8%) or stable (19%) mRS scores were observed among 63.8% of patients, whereas 36.2% had a decline in mRS scores. This includes 22 patients (23.4%) with AVM hemorrhage and 6 deaths (6.7%) outside the perioperative period but prior to AVM obliteration. CONCLUSIONS: Stereotactic radiosurgery is a useful adjunct in the presurgical management of cerebral AVMs. Multimodal therapy allowed for high rates of AVM obliteration and acceptable morbidity rates, despite the predominance of high-grade lesions in this series of patients.

Arrhythmias Other Than Atrial Fibrillation in Those With an Irregular Pulse Detected With a Smartwatch: Findings From the Apple Heart Study.

[Figure: see text].

Cardiovascular procedural deferral and outcomes over COVID-19 pandemic phases: A multi-center study.

BACKGROUND: The COVID-19 pandemic has disrupted routine cardiovascular care, with unclear impact on procedural deferrals and associated outcomes across diverse patient populations. METHODS: Cardiovascular procedures performed at 30 hospitals across 6 Western states in 2 large, non-profit healthcare systems (Providence St. Joseph Health and Stanford Healthcare) from December 2018-June 2020 were analyzed for changes over time. Risk-adjusted in-hospital mortality was compared across pandemic phases with multivariate logistic regression. RESULTS: Among 36,125 procedures (69% percutaneous coronary intervention, 13% coronary artery bypass graft surgery, 10% transcatheter aortic valve replacement, and 8% surgical aortic valve replacement), weekly volumes changed in 2 distinct phases after the initial inflection point on February 23, 2020: an initial period of significant deferral (COVID I: March 15-April 11) followed by recovery (COVID II: April 12 onwards). Compared to pre-COVID, COVID I patients were less likely to be female (P = .0003), older (P < .0001), Asian or Black (P = .02), or Medicare insured (P < .0001), and COVID I procedures were higher acuity (P < .0001), but not higher complexity. In COVID II, there was a trend toward more procedural deferral in regions with a higher COVID-19 burden (P = .05). Compared to pre-COVID, there were no differences in risk-adjusted in-hospital mortality during both COVID phases. CONCLUSIONS: Significant decreases in cardiovascular procedural volumes occurred early in the COVID-19 pandemic, with disproportionate impacts by race, gender, and age. These findings should inform our approach to future healthcare disruptions.

Administration of Dexamethasone for Bacterial Meningitis: An Unreliable Quality Measure.

OBJECTIVE: To validate the use of administrative data to identify patients with bacterial meningitis and quantify the rate of dexamethasone administration as defined in the American Academy of Neurology Inpatient and Emergency Care Quality Measurement Set. METHODS: The Vizient Clinical Data Base and Resource Manager was used to identify patients with International Classification of Diseases, Tenth Revision (ICD-10) codes for bacterial meningitis from October 2015 to June 2019. Chart review was performed on patients identified at a single quaternary-care hospital. The positive predictive value (PPV) of Vizient was determined. Demographic, clinical, and laboratory data were assessed using descriptive statistics. RESULTS: Of all hospitals that submitted complete data to Vizient during the study period, a median of 19 patients per hospital had ICD-10 codes for bacterial meningitis in the 45-month period. We identified 79 patients using Vizient at our institution of whom 69 had a diagnosis of bacterial meningitis confirmed by chart review (PPV = 87%). 15 patients were eligible to receive dexamethasone per the quality measurement set. Six of these patients (40%) received dexamethasone. CONCLUSION: It is feasible to use the Vizient Clinical Data Base and Resource Manager to identify patients with bacterial meningitis. Due to low prevalence across multiple institutions and high rate of exclusion criteria at our institution, this study suggests that the rate of dexamethasone administration in bacterial meningitis may be an unreliable indicator of quality of care provided by inpatient neurologists. The creation of a registry for hospitalized neurology patients could enhance development of future quality measures.

Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure.

PURPOSE: To generate diagnostic 18F-FDG PET images of pediatric cancer patients from ultra-low-dose 18F-FDG PET input images, using a novel artificial intelligence (AI) algorithm. METHODS: We used whole-body 18F-FDG-PET/MRI scans of 33 children and young adults with lymphoma (3-30 years) to develop a convolutional neural network (CNN), which combines inputs from simulated 6.25% ultra-low-dose 18F-FDG PET scans and simultaneously acquired MRI scans to produce a standard-dose 18F-FDG PET scan. The image quality of ultra-low-dose PET scans, AI-augmented PET scans, and clinical standard PET scans was evaluated by traditional metrics in computer vision and by expert radiologists and nuclear medicine physicians, using Wilcoxon signed-rank tests and weighted kappa statistics. RESULTS: The peak signal-to-noise ratio and structural similarity index were significantly higher, and the normalized root-mean-square error was significantly lower on the AI-reconstructed PET images compared to simulated 6.25% dose images (p < 0.001). Compared to the ground-truth standard-dose PET, SUVmax values of tumors and reference tissues were significantly higher on the simulated 6.25% ultra-low-dose PET scans as a result of image noise. After the CNN augmentation, the SUVmax values were recovered to values similar to the standard-dose PET. Quantitative measures of the readers' diagnostic confidence demonstrated significantly higher agreement between standard clinical scans and AI-reconstructed PET scans (kappa = 0.942) than 6.25% dose scans (kappa = 0.650). CONCLUSIONS: Our CNN model could generate simulated clinical standard 18F-FDG PET images from ultra-low-dose inputs, while maintaining clinically relevant information in terms of diagnostic accuracy and quantitative SUV measurements.

Clinical trials in a COVID-19 pandemic: Shared infrastructure for continuous learning in a rapidly changing landscape.

BACKGROUND: Clinical trials, conducted efficiently and with the utmost integrity, are a key component in identifying effective vaccines, therapies, and other interventions urgently needed to solve the COVID-19 crisis. Yet launching and implementing trials with the rigor necessary to produce convincing results is a complicated and time-consuming process. Balancing rigor and efficiency involves relying on designs that employ flexible features to respond to a fast-changing landscape, measuring valid endpoints that result in translational actions and disseminating findings in a timely manner. We describe the challenges involved in creating infrastructure with potential utility for shared learning. METHODS: We have established a shared infrastructure that borrows strength across multiple trials. The infrastructure includes an endpoint registry to aid in selecting appropriate endpoints, a registry to facilitate establishing a Data & Safety Monitoring Board, common data collection instruments, a COVID-19 dedicated design and analysis team, and a pragmatic platform protocol, among other elements. RESULTS: The authors have relied on the shared infrastructure for six clinical trials for which they serve as the Data Coordinating Center and have a design and analysis team comprising 15 members who are dedicated to COVID-19. The authors established a pragmatic platform to simultaneously investigate multiple treatments for the outpatient with adaptive features to add or drop treatment arms. CONCLUSION: The shared infrastructure provides appealing opportunities to evaluate disease in a more robust manner with fewer resources and is especially valued during a pandemic where efficiency in time and resources is crucial. The most important element of the shared infrastructure is the pragmatic platform. While it may be the most challenging of the elements to establish, it may provide the greatest benefit to both patients and researchers.

Staged Surgical Resection of Brain Arteriovenous Malformations.

BACKGROUND: Staged treatment of brain arteriovenous malformations (AVMs) is sometimes necessary to minimize risks associated with sudden changes in cerebral hemodynamics. With the increasing availability and optimization of endovascular techniques, multiple surgical resections are rarely necessary, although, due to specific anatomic circumstances, some AVMs still require staged surgery. Here, we describe the largest reported series of staged surgical resections of brain AVMs. METHODS: This is a retrospective review of surgically resected AVMs at a single institution from 1998-2018. Patients who underwent ≥2 resections within 1 year were reviewed. Only those in whom initial resection was terminated with intention for further resection were included in analysis. RESULTS: Twenty patients underwent deliberately staged resection from 1998-2018. Average age at treatment was 36.2 years (SD 16.5 years). Eleven patients (55%) were female, and 12 (60%) had left-sided AVMs. Median Spetzler-Martin grade was 4 (interquartile range [IQR]: 3-4). Average AVM nidus diameter was 5.0 cm (SD 1.7 cm). Seven patients (35%) presented with AVM rupture, and 12 (60%) presented with focal neurologic deficits without hemorrhage. Seventeen patients (85%) underwent preoperative embolization, median number of embolizations was 3 (IQR: 2-4). Three patients (15%) underwent preoperative radiosurgery. Median number of days between surgeries was 28 (IQR: 8-41 days). Perioperative course was complicated by hemorrhage in 3 patients (15%); 1 required decompressive hemicraniectomy prior to the second stage of surgery. Good functional outcome (defined as modified Rankin Scale score ≤2) was achieved in 14 patients (70%). CONCLUSIONS: Staged surgical resection of large and complex AVMs can be performed with good outcomes in carefully selected patients.

Pre-procedural barriers to accessing novel treatments for aortic stenosis among racial/ethnic minorities in the veterans affairs healthcare system.

Background: Novel structural heart procedures offer life-saving treatment advantages, yet little is known about pre-procedural barriers to care by race/ethnicity. Methods: All echocardiograms performed at a Veterans Affairs hospital from 2015 to 2019 were reviewed to identify patients with severe aortic stenosis and their access to transcatheter aortic valve replacement (TAVR) by race/ethnicity. Results: From 19,403 echocardiograms, 355 individuals were identified to have severe aortic stenosis (72.6% White, 9.8% Hispanic, 3.9% Black). There was a non-significant trend towards increased TAVR treatment among White compared to non-White patients (OR 2.02, CI 0.96-4.24, p = 0.063), which attenuated after adjustment for age and comorbidities. Reasons for not undergoing replacement included poor procedural candidacy (25.3%), loss of follow-up (17.8%), and patient refusal (16.4%). Conclusions: Racial/ethnic inequities were not detected in novel structural heart treatment within the VA. However, a high proportion of eligible patients did not receive procedural treatment due to patient refusal or loss of follow-up, highlighting barriers that require further study.

Cardiac procedural deferral during the coronavirus (COVID-19) pandemic.

We aimed to examine factors impacting variability in cardiac procedural deferral during the COVID-19 pandemic and assess cardiologists' perspectives regarding its implications. Unprecedented cardiac procedural deferral was implemented nationwide during the COVID-19 pandemic. A web-based survey was administered by Society for Cardiovascular Angiography and Interventions and the American College of Cardiology Interventional Council to cardiac catheterization laboratory (CCL) directors and interventional cardiologists across the United States during the COVID-19 pandemic. Among 414 total responses, 48 states and 360 unique cardiac catheterization laboratories were represented, with mean inpatient COVID-19 burden 16.4 ± 21.9%. There was a spectrum of deferral by procedure type, varying by both severity of COVID-19 burden and procedural urgency (p < .001). Percutaneous coronary intervention volumes dropped by 55% (p < .0001) and transcatheter aortic valve replacement volumes dropped by 64% (p = .004), with cardiologists reporting an increase in late presenting ST-elevation myocardial infarctions and deaths among patients waiting for transcatheter aortic valve replacement. Almost 1/3 of catheterization laboratories had at least one interventionalist testing positive for COVID-19. Salary reductions did not influence procedural deferral or speed of reinstituting normal volumes. Pandemic preparedness improved significantly over time, with the most pressing current problems focused on inadequate testing and staff health risks. During the COVID-19 pandemic, cardiac procedural deferrals were associated with procedural urgency and severity of hospital COVID-19 burden. Yet patients did not appear to be similarly influenced, with cardiologists reporting increases in late presenting ST-elevation myocardial infarctions independent of local COVID-19 burden. The safety and importance of seeking healthcare during this pandemic deserves emphasis.

Treatment of posterior circulation fusiform aneurysms.

OBJECTIVE: Perforator arteries, the absence of an aneurysm discrete neck, and the often-extensive nature of posterior circulation fusiform aneurysms present treatment challenges. There have been advances in microsurgical and endovascular approaches, including flow diversion, and the authors sought to review these treatments in a long-term series at their neurovascular referral center. METHODS: The authors performed a retrospective chart review from 1990 to 2018. Primary outcomes were modified Rankin Scale (mRS) scores and Glasgow Outcome Scale (GOS) scores at follow-up. The authors also examined neurological complication rates. Using regression techniques, they reviewed independent and dependent variables, including presenting features, aneurysm location and size, surgical approach, and pretreatment and posttreatment thrombosis. RESULTS: Eighty-four patients met the inclusion criteria. Their mean age was 53 years, and 49 (58%) were female. Forty-one (49%) patients presented with subarachnoid hemorrhage. Aneurysms were located on the vertebral artery (VA) or posterior inferior cerebellar artery (PICA) in 50 (60%) patients, basilar artery (BA) or vertebrobasilar junction (VBJ) in 22 (26%), and posterior cerebral artery (PCA) in 12 (14%). Thirty-one (37%) patients were treated with microsurgical and 53 (63%) with endovascular approaches. Six aneurysms were treated with endovascular flow diversion. The authors found moderate disability or better (mRS score ≤ 3) in 85% of the patients at a mean 14-month follow-up. The GOS score was ≥ 4 in 82% of the patients. The overall neurological complication rate was 12%. In the regression analysis, patients with VA or PICA aneurysms had better functional outcomes than the other groups (p < 0.001). Endovascular strategies were associated with better outcomes for BA-VBJ aneurysms (p < 0.01), but microsurgery was associated with better outcomes for VA-PICA and PCA aneurysms (p < 0.05). There were no other significant associations between patient, aneurysm characteristics, or treatment features and neurological complications (p > 0.05). Patients treated with flow diversion had more complications than those who underwent other endovascular and microsurgical strategies, but the difference was not significant in regression models. CONCLUSIONS: Posterior circulation fusiform aneurysms remain a challenging aneurysm subtype, but an interdisciplinary treatment approach can result in good outcomes. While flow diversion is a useful addition to the armamentarium, traditional endovascular and microsurgical techniques continue to offer effective options.

Clinical Course of Unilateral Moyamoya Disease.

BACKGROUND: The natural history of unilateral moyamoya disease (MMD) progressing to bilateral MMD remains an enigma in modern vascular neurosurgery. Few, small series with limited follow-up have reported relatively high rates of contralateral stenosis progression. OBJECTIVE: To review our large series of unilateral MMD patients and evaluate radiographic and surgical progression rates, and identify any factors associated with progression. METHODS: We included all unilateral MMD cases treated from 1991 to 2017 in an observational study. We examined time to contralateral radiographic progression and contralateral progression requiring surgery. Using Cox regression analysis, we evaluated factors potentially associated with contralateral progression. RESULTS: There were 217 patients treated for unilateral MMD. About 71% were female, and the average age at first surgery was 33.8 yr. Average follow-up was 5.8 yr (range 1-22 yr). A total of 18 patients (8.3%) developed contralateral progression. And 8 of these (3.7%) developed progression requiring bypass surgery. Baseline stenosis and hyperlipidemia (HLD) were significantly associated with radiographic progression (hazard ratio [HR] = 9.7, P = .006; HR = 4.0, P = .024). Baseline stenosis was associated with surgical progression (HR = 44.2, P = .002). Results were similar when controlling for possible confounders using multivariate regression. CONCLUSION: Previous series showed relatively high rates of progression in unilateral MMD (15%-30%), but these studies were small and long-term follow-up was rarely available. Our large series indicates that the rate of progression is lower than previously reported but still warrants yearly noninvasive screening. These data may provide indirect support for statin therapy in MMD.

Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation.

BACKGROUND: Optical sensors on wearable devices can detect irregular pulses. The ability of a smartwatch application (app) to identify atrial fibrillation during typical use is unknown. METHODS: Participants without atrial fibrillation (as reported by the participants themselves) used a smartphone (Apple iPhone) app to consent to monitoring. If a smartwatch-based irregular pulse notification algorithm identified possible atrial fibrillation, a telemedicine visit was initiated and an electrocardiography (ECG) patch was mailed to the participant, to be worn for up to 7 days. Surveys were administered 90 days after notification of the irregular pulse and at the end of the study. The main objectives were to estimate the proportion of notified participants with atrial fibrillation shown on an ECG patch and the positive predictive value of irregular pulse intervals with a targeted confidence interval width of 0.10. RESULTS: We recruited 419,297 participants over 8 months. Over a median of 117 days of monitoring, 2161 participants (0.52%) received notifications of irregular pulse. Among the 450 participants who returned ECG patches containing data that could be analyzed - which had been applied, on average, 13 days after notification - atrial fibrillation was present in 34% (97.5% confidence interval [CI], 29 to 39) overall and in 35% (97.5% CI, 27 to 43) of participants 65 years of age or older. Among participants who were notified of an irregular pulse, the positive predictive value was 0.84 (95% CI, 0.76 to 0.92) for observing atrial fibrillation on the ECG simultaneously with a subsequent irregular pulse notification and 0.71 (97.5% CI, 0.69 to 0.74) for observing atrial fibrillation on the ECG simultaneously with a subsequent irregular tachogram. Of 1376 notified participants who returned a 90-day survey, 57% contacted health care providers outside the study. There were no reports of serious app-related adverse events. CONCLUSIONS: The probability of receiving an irregular pulse notification was low. Among participants who received notification of an irregular pulse, 34% had atrial fibrillation on subsequent ECG patch readings and 84% of notifications were concordant with atrial fibrillation. This siteless (no on-site visits were required for the participants), pragmatic study design provides a foundation for large-scale pragmatic studies in which outcomes or adherence can be reliably assessed with user-owned devices. (Funded by Apple; Apple Heart Study ClinicalTrials.gov number, NCT03335800.).

Performance of the Asthma Impact on Quality of Life Scale (A-IQOLS) in diverse asthma research populations and demographic subgroups.

BACKGROUND: The Asthma Impact on Quality of Life Scale (A-IQOLS) assesses the patient-perceived negative effect of asthma on quality of life. Its standard error of measurement is known; it has strong construct, convergent, and divergent validity; and it provides information that is unique among asthma outcome measures. OBJECTIVE: We sought to characterize the psychometric properties of the A-IQOLS and its suitability for use in demographically and clinically diverse adult asthmatic populations. METHODS: Data from participants in 5 independent asthma studies, with samples ranging from patients with well-controlled moderate asthma to patients with severe poorly controlled asthma, were pooled to determine the psychometric performance of A-IQOLS scores overall and in multiple demographic, disease status, and study subgroups. RESULTS: Pooled sample (n = 597) age averaged 45 years; 66% were female, 65% were white, 22% were African American, 11% were Hispanic, and 11% had a high school education or less. The rated importance of its underlying life dimensions and associations between A-IQOLS scores and lung function, symptom, Asthma Control Test, Juniper Mini Asthma Quality of Life Questionnaire, and Marks Asthma Quality of Life Questionnaire scores was very similar, regardless of patients' demographic and clinical characteristics. A-IQOLS scores discriminated among the individual study samples, as well as other patient-reported symptom and functional status measures. Distribution and anchor-based considerations suggest an A-IQOLS minimum clinically important difference in the vicinity of 0.50 and not less than 0.33 scale score units. CONCLUSIONS: A-IQOLS is valid for research and potentially clinical use in demographically and clinically diverse patients.

A new measure to assess asthma's effect on quality of life from the patient's perspective.

BACKGROUND: The Asthma Impact on Quality of Life Scale (A-IQOLS) assesses the negative effect of asthma on quality of life (QoL) from the patient's perspective by using dimensions of Flanagan's Quality of Life Scale (QOLS), a measure of current QoL. OBJECTIVES: We sought to determine and compare the psychometric properties of the A-IQOLS and QOLS, including their sensitivities to differences and change in asthma status. METHODS: In a test-retest design (3- to 5-week interval) adults with persistent asthma underwent spirometry and were administered the A-IQOLS, other asthma outcome measures (Asthma Control Test, Asthma Symptom Utility Index, and the Marks and Juniper Asthma Quality of Life Questionnaires), and the QOLS. RESULTS: Participants' (n = 147) mean age was 49 years, 76% were white, 12% were Hispanic, and 65% were female. A-IQOLS and QOLS scores were significantly correlated with other asthma outcomes scores, except FEV1, but shared relatively low common variance with these measures. A-IQOLS but not QOLS score changes were significantly correlated with changes in asthma outcomes. An A-IQOLS standard error of measurement of 0.27 implies that a within-person score change of ±0.73 or greater constitutes a true change. The QOLS standard error of measurement was 0.43. CONCLUSIONS: A-IQOLS provides a reliable, valid, and unique assessment of the patient-perceived negative effect of asthma on QoL that is suitable for use in asthma clinical research and potentially in clinical care. Further studies are needed in diverse patient populations. QOLS, a measure of current QoL, is less sensitive to disease status changes but might be useful in characterizing study populations, in treatment adherence research, and as a clinical and research tool in patients with multiple, severe, and/or life-limiting chronic conditions.