ChatGPT vs Google for Queries Related to Dementia and Other Cognitive Decline: Comparison of Results.

BACKGROUND: People living with dementia or other cognitive decline and their caregivers (PLWD) increasingly rely on the web to find information about their condition and available resources and services. The recent advancements in large language models (LLMs), such as ChatGPT, provide a new alternative to the more traditional web search engines, such as Google. OBJECTIVE: This study compared the quality of the results of ChatGPT and Google for a collection of PLWD-related queries. METHODS: A set of 30 informational and 30 service delivery (transactional) PLWD-related queries were selected and submitted to both Google and ChatGPT. Three domain experts assessed the results for their currency of information, reliability of the source, objectivity, relevance to the query, and similarity of their response. The readability of the results was also analyzed. Interrater reliability coefficients were calculated for all outcomes. RESULTS: Google had superior currency and higher reliability. ChatGPT results were evaluated as more objective. ChatGPT had a significantly higher response relevance, while Google often drew upon sources that were referral services for dementia care or service providers themselves. The readability was low for both platforms, especially for ChatGPT (mean grade level 12.17, SD 1.94) compared to Google (mean grade level 9.86, SD 3.47). The similarity between the content of ChatGPT and Google responses was rated as high for 13 (21.7%) responses, medium for 16 (26.7%) responses, and low for 31 (51.6%) responses. CONCLUSIONS: Both Google and ChatGPT have strengths and weaknesses. ChatGPT rarely includes the source of a result. Google more often provides a date for and a known reliable source of the response compared to ChatGPT, whereas ChatGPT supplies more relevant responses to queries. The results of ChatGPT may be out of date and often do not specify a validity time stamp. Google sometimes returns results based on commercial entities. The readability scores for both indicate that responses are often not appropriate for persons with low health literacy skills. In the future, the addition of both the source and the date of health-related information and availability in other languages may increase the value of these platforms for both nonmedical and medical professionals.

Chatbots to Support People With Dementia and Their Caregivers: Systematic Review of Functions and Quality.

BACKGROUND: Over the past decade, there has been an increase in the use of information technologies to educate and support people with dementia and their family caregivers. At the same time, chatbot technologies have become increasingly popular for use by the public and have been identified as having benefits for health care delivery. However, little is known about how chatbot technologies may benefit people with dementia and their caregivers. OBJECTIVE: This study aims to identify the types of current commercially available chatbots that are designed for use by people with dementia and their caregivers and to assess their quality in terms of features and content. METHODS: Chatbots were identified through a systematic search on Google Play Store, Apple App Store, Alexa Skills, and the internet. An evidence-based assessment tool was used to evaluate the features and content of the identified apps. The assessment was conducted through interrater agreement among 4 separate reviewers. RESULTS: Of the 505 initial chatbots identified, 6 were included in the review. The chatbots assessed varied significantly in terms of content and scope. Although the chatbots were generally found to be easy to use, some limitations were noted regarding their performance and programmed content for dialog. CONCLUSIONS: Although chatbot technologies are well established and commonly used by the public, their development for people with dementia and their caregivers is in its infancy. Given the successful use of chatbots in other health care settings and for other applications, there are opportunities to integrate this technology into dementia care. However, more evidence-based chatbots that have undergone end user evaluation are needed to evaluate their potential to adequately educate and support these populations.

The Potential of Information Technology to Navigate Caregiving Systems: Perspectives from Dementia Caregivers.

Technologies designed to support caregivers of adults with Alzheimer's disease and related dementias (AD/RD) have been developing at an increasingly rapid pace. However, little remains known about caregivers' perspectives on how technologies can and should help them navigate larger service systems they interact with to engage in caregiving. This study involved in-depth interviews and a beta test of an AD/RD caregiver app to learn more about how they currently use technologies and how potential technological features and functions can best meet their needs. Thematic findings suggest a conceptual model for designing AD/RD caregiver technologies. The findings suggest that eHealth and individual technologies may not fully meet the needs of caregivers as they navigate the larger systems within which they provide care. Findings highlight the need to develop technologies for caregivers that are effective, easy to use, and more widely disseminated - especially for caregivers from disadvantaged backgrounds.

Legionella clemsonensis sp. nov.: a green fluorescing Legionella strain from a patient with pneumonia.

A novel Legionella species was identified based on sequencing, cellular fatty acid analysis, biochemical reactions, and biofilm characterization. Strain D5610 was originally isolated from the bronchial wash of a patient in Ohio, USA. The bacteria were gram-negative, rod-shaped, and exhibited green fluorescence under long wave UV light. Phylogenetic analysis and fatty acid composition revealed a distinct separation within the genus. The strain grows between 26-45°C and forms biofilms equivalent to L. pneumophila Philadelphia 1. These characteristics suggest that this isolate is a novel Legionella species, for which the name Legionella clemsonensis sp nov. is proposed.

The importance of clinical surveillance in detecting legionnaires' disease outbreaks: a large outbreak in a hospital with a Legionella disinfection system-Pennsylvania, 2011-2012.

BACKGROUND: Healthcare-associated Legionnaires' disease (LD) is a preventable pneumonia with a 30% case fatality rate. The Centers for Disease Control and Prevention guidelines recommend a high index of suspicion for the diagnosis of healthcare-associated LD. We characterized an outbreak and evaluated contributing factors in a hospital using copper-silver ionization for prevention of Legionella growth in water. METHODS: Through medical records review at a large, urban tertiary care hospital in November 2012, we identified patients diagnosed with LD during 2011-2012. Laboratory-confirmed cases were categorized as definite, probable, and not healthcare associated based on time spent in the hospital during the incubation period. We performed an environmental assessment of the hospital, including collection of samples for Legionella culture. Clinical and environmental isolates were compared by genotyping. Copper and silver ion concentrations were measured in 11 water samples. RESULTS: We identified 5 definite and 17 probable healthcare-associated LD cases; 6 case patients died. Of 25 locations (mostly potable water) where environmental samples were obtained for Legionella-specific culture, all but 2 showed Legionella growth; 11 isolates were identical to 3 clinical isolates by sequence-based typing. Mean copper and silver concentrations were at or above the manufacturer's recommended target for Legionella control. Despite this, all samples where copper and silver concentrations were tested showed Legionella growth. CONCLUSIONS: This outbreak was linked to the hospital's potable water system and highlights the importance of maintaining a high index of suspicion for healthcare-associated LD, even in the setting of a long-term disinfection program.

Evidence-Based Practice Guideline: Depression Detection in Older Adults With Dementia.

Depression and dementia are the two most common psychiatric syndromes in the older adult population. Depression in older adults with and without dementia often goes unrecognized and untreated. The current guideline recommends a three-step procedure that can be used across health care settings to screen for the presence of depressive symptoms. Implementation of the evidence-based guideline requires administration of the Mini-Mental State Examination and either the Geriatric Depression Scale Short Form or Cornell Scale for Depression in Dementia, depending on level of cognitive functioning. The algorithm provided is designed to be used by nurses, physicians, and social workers for the purpose of depression screening in older adults with dementia. Detection of depression in individuals with dementia is hindered by a lack of a validated, brief screening tool. More research is needed on the use of such screenings among older adults with cognitive impairment.

Legionnaires' Disease Outbreak at a Long-Term Care Facility Caused by a Cooling Tower Using an Automated Disinfection System--Ohio, 2013.

On July 9, 2013, an outbreak of Legionnaires' disease (LD) was identified at Long-Term Care Facility A in central Ohio. This article describes the investigation of the outbreak and identification of the outbreak source, a cooling tower using an automated biocide delivery system. In total, 39 outbreak LD cases were identified; among these, six patients died. Water samples from a cooling tower were positive for Legionella pneumophila serogroup 1, reactive to monoclonal antibody 2, with matching sequence type to a patient isolate. An electronic control system turned off cooling tower pumps during low-demand periods, preventing delivery of disinfectant by a timed-release system, and leading to amplification of Legionella in the cooling tower. Guidelines for tower maintenance should address optimal disinfection when using automated systems.

Healthcare Utilizing Deliberate Discussion Linking Events (HUDDLE): A Systematic Review.

The phenomenon, "huddle moments," can be described as a preparatory briefing among healthcare providers for the purpose of collaborating, exchanging information, and bringing awareness to patient safety concerns. A historical background of huddle communication is described and a systematic literature review was conducted on preoperative briefing and huddle communication. The article also describes a need for increased interprofessional collaboration education in anesthesia and a need for leadership to support initiatives that improve patient safety. The purpose of this article is to provide a systematic review of huddle communication and give future evidence-based recommendations on how the huddle can be used in healthcare as well as how to roll out use of the HUDDLE acronym: Healthcare, Utilizing, Deliberate, Discussion, Linking, Events.

Prevalence of sequence types among clinical and environmental isolates of Legionella pneumophila serogroup 1 in the United States from 1982 to 2012.

Since the establishment of sequence-based typing as the gold standard for DNA-based typing of Legionella pneumophila, the Legionella laboratory at the Centers for Disease Control and Prevention (CDC) has conducted routine sequence-based typing (SBT) analysis of all incoming L. pneumophila serogroup 1 (Lp1) isolates to identify potential links between cases and to better understand genetic diversity and clonal expansion among L. pneumophila bacteria. Retrospective genotyping of Lp1 isolates from sporadic cases and Legionnaires' disease (LD) outbreaks deposited into the CDC reference collection since 1982 has been completed. For this study, we compared the distribution of sequence types (STs) among Lp1 isolates implicated in 26 outbreaks in the United States, 571 clinical isolates from sporadic cases of LD in the United States, and 149 environmental isolates with no known association with LD. The Lp1 isolates under study had been deposited into our collection between 1982 and 2012. We identified 17 outbreak-associated STs, 153 sporadic STs, and 49 environmental STs. We observed that Lp1 STs from outbreaks and sporadic cases are more similar to each other than either group is to environmental STs. The most frequent ST for both sporadic and environmental isolates was ST1, accounting for 25% and 49% of the total number of isolates, respectively. The STs shared by both outbreak-associated and sporadic Lp1 included ST1, ST35, ST36, ST37, and ST222. The STs most commonly found in sporadic and outbreak-associated Lp1 populations may have an increased ability to cause disease and thus may require special attention when detected.

Legionnaires' disease case-finding algorithm, attack rates, and risk factors during a residential outbreak among older adults: an environmental and cohort study.

BACKGROUND: During a Legionnaires' disease (LD) outbreak, combined epidemiological and environmental investigations were conducted to identify prevention recommendations for facilities where elderly residents live independently but have an increased risk of legionellosis. METHODS: Survey responses (n = 143) were used to calculate attack rates and describe transmission routes by estimating relative risk (RR) and 95% confidence intervals (95% CI). Potable water collected from five apartments of LD patients and three randomly-selected apartments of residents without LD (n = 103 samples) was cultured for Legionella. RESULTS: Eight confirmed LD cases occurred among 171 residents (attack rate = 4.7%); two visitors also developed LD. One case was fatal. The average age of patients was 70 years (range: 62-77). LD risk was lower among residents who reported tub bathing instead of showering (RR = 0.13, 95% CI: 0.02-1.09, P = 0.03). Two respiratory cultures were characterized as L. pneumophila serogroup 1, monoclonal antibody type Knoxville (1,2,3), sequence type 222. An indistinguishable strain was detected in 31 (74%) of 42 potable water samples. CONCLUSIONS: Managers of elderly-housing facilities and local public health officials should consider developing a Legionella prevention plan. When Legionella colonization of potable water is detected in these facilities, remediation is indicated to protect residents at higher risk. If LD occurs among residents, exposure reduction, heightened awareness, and clinical surveillance activities should be coordinated among stakeholders. For prompt diagnosis and effective treatment, clinicians should recognize the increased risk and atypical presentation of LD in older adults.

Adding home health care to the discussion on health information technology policy.

The potential for health information technology to improve the efficiency and effectiveness of health care has resulted in several U.S. policy initiatives aimed at integrating health information technology into health care systems. However, home health care agencies have been excluded from incentive programs established through policies, raising concerns on the extent to which health information technology may be used to improve the quality of care for older adults with chronic illness and disabilities. This analysis examines the potential issues stemming from this exclusion and explores potential opportunities of integrating home health care into larger initiatives aimed at establishing health information technology systems for meaningful use.

Willingness of Older Adults From Culturally Diverse Populations to Participate in COVID-19 Related Treatment Trials and Associated Factors.

This survey study aimed to assess the willingness of culturally diverse older adults to participate in COVID-19 research. The majority of the 276 participants were women (81%, n = 223) and Black/African American (62%, n = 172) or White Hispanic (20%, n = 56). A key finding from the survey was less than 1 of 10 respondents would be likely to participate in COVID-19 related research if given the opportunity. There were no differences observed by gender, race or ethnicity. Implications of these findings are considered. These study findings indicate continued effort and better messaging strategies are required to increase awareness that COVID-19 related research needs to include culturally diverse older adults to ensure vaccines and treatments are efficacious in different populations.

Developing a Memory and Communication App for Persons Living With Dementia: An 8-Step Process.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.3928/19404921-20210825-02.

Toward Diabetes Device Development That Is Mindful to the Needs of Young People Living With Type 1 Diabetes: A Data- and Theory-Driven Qualitative Study.

BACKGROUND: An important strategy to understand young people's needs regarding technologies for type 1 diabetes mellitus (T1DM) management is to examine their day-to-day experiences with these technologies. OBJECTIVE: This study aimed to examine young people's and their caregivers' experiences with diabetes technologies in an exploratory way and relate the findings to the existing technology acceptance and technology design theories. On the basis of this procedure, we aimed to develop device characteristics that meet young people's needs. METHODS: Overall, 16 in-person and web-based face-to-face interviews were conducted with 7 female and 9 male young people with T1DM (aged between 12 and 17 years) and their parents between December 2019 and July 2020. The participants were recruited through a pediatric diabetes clinic based at Canberra Hospital. Data-driven thematic analysis was performed before theory-driven analysis to incorporate empirical data results into the unified theory of acceptance and use of technology (UTAUT) and value-sensitive design (VSD). We used the COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist for reporting our research procedure and findings. In this paper, we summarize the key device characteristics that meet young people's needs. RESULTS: Summarized interview themes from the data-driven analysis included aspects of self-management, device use, technological characteristics, and feelings associated with device types. In the subsequent theory-driven analysis, the interview themes aligned with all UTAUT and VSD factors except for one (privacy). Privacy concerns or related aspects were not reported throughout the interviews, and none of the participants made any mention of data privacy. Discussions around ideal device characteristics focused on reliability, flexibility, and automated closed loop systems that enable young people with T1DM to lead an independent life and alleviate parental anxiety. However, in line with a previous systematic review by Brew-Sam et al, the analysis showed that reality deviated from these expectations, with inaccuracy problems reported in continuous glucose monitoring devices and technical failures occurring in both continuous glucose monitoring devices and insulin pumps. CONCLUSIONS: Our research highlights the benefits of the transdisciplinary use of exploratory and theory-informed methods for designing improved technologies. Technologies for diabetes self-management require continual advancement to meet the needs and expectations of young people with T1DM and their caregivers. The UTAUT and VSD approaches were found useful as a combined foundation for structuring the findings of our study.

Legionella cardiaca sp. nov., isolated from a case of native valve endocarditis in a human heart.

A Gram-negative, rod-shaped bacterium, designated H63(T), was isolated from aortic valve tissue of a patient with native valve endocarditis. 16S rRNA gene sequencing revealed that H63(T) belongs to the genus Legionella, with its closest neighbours being the type strains of Legionella brunensis (98.8% similarity), L. londiniensis (97.0%), L. jordanis (96.8%), L. erythra (96.2%), L. dresdenensis (96.0%) and L. rubrilucens, L. feeleii, L. pneumophila and L. birminghamensis (95.7%). DNA-DNA hybridization studies yielded values of <70% relatedness between strain H63(T) and its nearest neighbours in terms of 16S rRNA gene sequence similarity, indicating that the strain represents a novel species. Phylogenetic analysis of the 16S rRNA, macrophage infectivity potentiator (mip) and RNase P (rnpB) genes confirmed that H63(T) represents a distinct species, with L. brunensis being its closest sister taxon. Fatty acid composition and biochemical traits, such as the inability to ferment glucose and reduce nitrate, supported the affiliation of H63(T) to the genus Legionella. H63(T) was distinguishable from its neighbours based on it being positive for hippurate hydrolysis. H63(T) was further differentiated by its inability to grow on BCYE agar at 17 °C, its poor growth on low-iron medium and the absence of sliding motility. Also, H63(T) did not react with antisera generated from type strains of Legionella species. H63(T) replicated within macrophages. It also grew in mouse lungs, inducing histopathological evidence of pneumonia and dissemination to the spleen. Together, these results confirm that H63(T) represents a novel, pathogenic Legionella species, for which the name Legionella cardiaca sp. nov. is proposed. The type strain is H63(T) ( = ATCC BAA-2315(T)  = DSM 25049(T)  = JCM 17854(T)).

Legionella nagasakiensis sp. nov., isolated from water samples and from a patient with pneumonia.

A novel Legionella species was identified based on analysis of 16S rRNA and mip (macrophage infectivity potentiator) gene sequences, cellular fatty acids, isoprenoid quinones, biochemical reactions, antigens and quantitative DNA-DNA hybridization. Strain CDC-1796-JAP-E(T) was isolated from well water at the Nagasaki Municipal Medical Center, Japan. Two strains, CDC-3041-AUS-E and CDC-3558-AUS-E, were isolated from water samples during an outbreak of legionellosis in South Australia. Strain CDC-5427-OH-H was isolated from a 66-year-old female patient diagnosed with Legionnaires' disease in the US. Cells from these four strains were gram-negative, non-fluorescent, rod-shaped, and positive for alkaline phosphatase, esterase, leucine arylamidase, catalase, gelatinase, ß-lactamase and tyrosine browning assay. Phylogenetic analysis of 16S rRNA and mip genes revealed that the four strains formed a distinct cluster within the genus Legionella. The bacteria contained branched-chain fatty acids and quinones that are typical of members of the genus Legionella. Slide agglutination tests demonstrated no cross-reaction with 52 previously described members of the Legionellaceae. DNA-DNA hybridization studies indicated that DNAs from the four strains were highly related (78-84 %) but they showed 29 % relatedness to Legionella oakridgensis ATCC 33761(T) and less than 10 % to strains of other Legionella species tested. These characterizations suggest that the isolates represent a novel species, for which the name Legionella nagasakiensis sp. nov. is proposed; the type strain is CDC-1796-JAP-E(T) ( = ATCC BAA-1557(T) = JCM 15315(T)).

Lansoprazole for children with poorly controlled asthma: a randomized controlled trial.

CONTEXT: Asymptomatic gastroesophageal reflux (GER) is prevalent in children with asthma. Untreated GER has been postulated to be a cause of inadequate asthma control in children despite inhaled corticosteroid treatment, but it is not known whether treatment with proton pump inhibitors improves asthma control. OBJECTIVE: To determine whether lansoprazole is effective in reducing asthma symptoms in children without overt GER. DESIGN, SETTING, AND PARTICIPANTS: The Study of Acid Reflux in Children With Asthma, a randomized, masked, placebo-controlled, parallel clinical trial that compared lansoprazole with placebo in children with poor asthma control who were receiving inhaled corticosteroid treatment. Three hundred six participants enrolled from April 2007 to September 2010 at 19 US academic clinical centers were followed up for 24 weeks. A subgroup had an esophageal pH study before randomization. INTERVENTION: Participating children were randomly assigned to receive either lansoprazole, 15 mg/d if weighing less than 30 kg or 30 mg/d if weighing 30 kg or more (n = 149), or placebo (n = 157). MAIN OUTCOME MEASURES: The primary outcome measure was change in Asthma Control Questionnaire (ACQ) score (range, 0-6; a 0.5-unit change is considered clinically meaningful). Secondary outcome measures included lung function measures, asthma-related quality of life, and episodes of poor asthma control. RESULTS: The mean age was 11 years (SD, 3 years). The mean difference in change (lansoprazole minus placebo) in the ACQ score was 0.2 units (95% CI, 0.0-0.3 units). There were no statistically significant differences in the mean difference in change for the secondary outcomes of forced expiratory volume in the first second (0.0 L; 95% CI, -0.1 to 0.1 L), asthma-related quality of life (-0.1; 95% CI, -0.3 to 0.1), or rate of episodes of poor asthma control (relative risk, 1.2; 95% CI, 0.9-1.5). Among the 115 children with esophageal pH studies, the prevalence of GER was 43%. In the subgroup with a positive pH study, no treatment effect for lansoprazole vs placebo was observed for any asthma outcome. Children treated with lansoprazole reported more respiratory infections (relative risk, 1.3 [95% CI, 1.1-1.6]). CONCLUSION: In this trial of children with poorly controlled asthma without symptoms of GER who were using inhaled corticosteroids, the addition of lansoprazole, compared with placebo, improved neither symptoms nor lung function but was associated with increased adverse events. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00442013.

A user preference analysis of commercial breath ketone sensors to inform the development of portable breath ketone sensors for diabetes management in young people.

BACKGROUND: Portable breath ketone sensors may help people with Type 1 Diabetes Mellitus (T1DM) avoid episodes of diabetic ketoacidosis; however, the design features preferred by users have not been studied. We aimed to elucidate breath sensor design preferences of young people with T1DM (age 12 to 16) and their parents to inform the development of a breath ketone sensor prototype that would best suit their diabetes management needs. RESEARCH DESIGNS AND METHODS: To elicit foundational experiences from which design preference ideas could be generated, two commercially available breath ketone sensors, designed for ketogenic diet monitoring, were explored over one week by ten young people with T1DM. Participants interacted with the breath ketone sensing devices, and undertook blood ketone testing, at least twice daily for five days to simulate use within a real life and ambulatory care setting. Semi-structured interviews were conducted post-testing with the ten young participants and their caregivers (n = 10) to elicit preferences related to breath sensor design and use, and to inform the co-design of a breath ketone sensor prototype for use in T1DM self-management. We triangulated our data collection with key informant interviews with two diabetes educators working in pediatric care about their perspectives related to young people using breath ketone sensors. RESULTS: Participants acknowledged the non-invasiveness of breath sensors as compared to blood testing. Affordability, reliability and accuracy were identified as prerequisites for breath ketone sensors used for diabetes management. Design features valued by young people included portability, ease of use, sustainability, readability and suitability for use in public. The time required to use breath sensors was similar to that for blood testing. The requirement to maintain a 10-second breath exhalation posed a challenge for users. Diabetes educators highlighted the ease of use of breath devices especially for young people who tended to under-test using blood ketone strips. CONCLUSIONS: Breath ketone sensors for diabetes management have potential that may facilitate ketone testing in young people. Our study affirms features for young people that drive usability of breath sensors among this population, and provides a model of user preference assessment.

The current understanding of precision medicine and personalised medicine in selected research disciplines: study protocol of a systematic concept analysis.

INTRODUCTION: The terms 'precision medicine' and 'personalised medicine' have become key terms in health-related research and in science-related public communication. However, the application of these two concepts and their interpretation in various disciplines are heterogeneous, which also affects research translation and public awareness. This leads to confusion regarding the use and distinction of the two concepts. Our aim is to provide a snapshot of the current understanding of these concepts. METHODS AND ANALYSIS: Our study will use Rodgers' evolutionary concept analysis to systematically examine the current understanding of the concepts 'precision medicine' and 'personalised medicine' in clinical medicine, biomedicine (incorporating genomics and bioinformatics), health services research, physics, chemistry, engineering, machine learning and artificial intelligence, and to identify their respective attributes (clusters of characteristics) and surrogate and related terms. A systematic search of the literature will be conducted for 2016-2022 using databases relevant to each of these disciplines: ACM Digital Library, CINAHL, Cochrane Library, F1000Research, IEEE Xplore, PubMed/Medline, Science Direct, Scopus and Web of Science. These are among the most representative databases for the included disciplines. We will examine similarities and differences in definitions of 'precision medicine' and 'personalised medicine' in the respective disciplines and across (sub)disciplines, including attributes of each term. This will enable us to determine how these two concepts are distinguished. ETHICS AND DISSEMINATION: Following ethical and research standards, we will comprehensively report the methodology for a systematic analysis following Rodgers' concept analysis method. Our systematic concept analysis will contribute to the clarification of the two concepts and distinction in their application in given settings and circumstances. Such a broad concept analysis will contribute to non-systematic syntheses of the concepts, or occasional systematic reviews on one of the concepts that have been published in specific disciplines, in order to facilitate interdisciplinary communication, translational medical research and implementation science.

Effects of obstructive sleep apnea and gastroesophageal reflux disease on asthma control in obesity.

BACKGROUND: Obesity is a risk factor for asthma. Obese asthmatics often have poor asthma control and respond poorly to therapy. It has been suggested that co-morbidities associated with obesity, such as reflux and obstructive sleep apnea, could be important factors contributing to poor asthma control in obese patients. OBJECTIVES: The purpose of this study was to determine if (1) reflux and/or (2) symptoms of sleep apnea contribute to poor asthma control in obesity. METHODS: We studied asthmatic subjects participating in a trial of reflux treatment. Participants underwent baseline evaluation of asthma symptoms and lung function. Overall 304 participants underwent esophageal pH probe testing; 246 participants were evaluated for obstructive sleep apnea symptoms. RESULTS: Of 402 participants in this trial, 51% were obese. Role of reflux in asthma control. Those with higher body mass index (BMI) reported a higher prevalence of reflux symptoms, but the prevalence of pH probe acid reflux was similar in all groups. Reflux was not associated with measures of asthma control in obese patients. Role of obstructive sleep apnea in asthma control. Symptoms and self-report of obstructive sleep apnea were more common with increasing BMI and associated with worse asthma control as measured by the Juniper Asthma Control questionnaire and Asthma Symptom Utility Index. CONCLUSIONS: Our data suggest that obstructive sleep apnea, but not gastroesophageal reflux disease, may contribute significantly to poor asthma control in obese patients.