Nevin Manimala

Am J Cardiol. 2023 Sep 30;207:407-417. doi: 10.1016/j.amjcard.2023.08.111. Online ahead of print.

ABSTRACT

Short-term rehospitalizations are common, costly, and detrimental to patients with heart failure (HF). Current research and policy have focused primarily on 30-day readmissions for patients with HF as a primary diagnosis at index hospitalization, whereas a much larger population of patients are admitted with HF as a secondary diagnosis. This study aims to compare patients initially hospitalized for HF as either a primary or a secondary diagnosis, and to identify the most important factors in predicting 30-day readmission. Patients admitted with HF between 2014 and 2016 in the Nationwide Readmissions Database were included and divided into 2 cohorts: those admitted with a primary and secondary diagnosis of HF. Multivariable logistic regression was performed to predict 30-day readmission. Statistically significant predictors in multivariable logistic regression were used for dominance analysis to rank these factors by relative importance. Co-morbidities were the major driver of increased risk of 30-day readmission in both groups. Individual Elixhauser co-morbidities and the Elixhauser co-morbidity indexes were significantly associated with an increase in 30-day readmission. The 5 most important predictors of 30-day readmission according to dominance analysis were age, Elixhauser co-morbidity indexes of co-morbidity complications and readmission, number of diagnoses, and renal failure. These 5 factors accounted for 68% of the 30-day readmission risk. Measures of patient co-morbidities were among the strongest predictors of readmission risk. This study highlights the importance of expanding predictive models to include a broader set of clinical measures to create better-performing models of readmission risk for HF patients.

PMID:37782972 | DOI:10.1016/j.amjcard.2023.08.111

Appl Neuropsychol Adult. 2023 Oct 2:1-8. doi: 10.1080/23279095.2023.2262068. Online ahead of print.

ABSTRACT

The scientific literature on neuropsychological correlates of Mild Cognitive Impairment of the Amnestic Type (MCI-A) often reports large group findings and employs multivariate statistics to describe domains of cognitive impairment associated with the transition of MCI-A to early dementia, typically of the Alzheimer’s Type (AD). Individual patients may vary, however, in terms of specific changes in their neuropsychological test performance as they transition from MCI-A to probable AD. The subjective experiences of individuals during this time of transition can also vary but rarely are reported. Tracking both the patient’s subjective experiences and their performance on neuropsychological measures provides a more complete picture of the patient’s clinical situation. These combined sets of information help the clinical neuropsychologist provide a more individualized and personally relevant service. We present a phenomenological and neuropsychological case analysis of a 67-year-old woman who transitioned from MCI-A to probable early AD in an attempt to illustrate how such a combined analysis is helpful in their psychological care.

PMID:37782952 | DOI:10.1080/23279095.2023.2262068

Ann Intern Med. 2023 Oct 3. doi: 10.7326/M23-0679. Online ahead of print.

ABSTRACT

BACKGROUND: Previous studies have shown that patients with giant cell arteritis (GCA) who have vascular ¹⁸F-fluorodeoxyglucose (FDG) uptake at diagnosis are at increased risk for thoracic aortic complications.

OBJECTIVE: To measure the association between vascular FDG uptake at diagnosis and the change in aortic dimensions.

DESIGN: Prospective cohort study.

SETTING: University Hospitals Leuven.

PATIENTS: 106 patients with GCA and FDG positron emission tomography (PET) imaging 3 days or less after initiation of glucocorticoids.

MEASUREMENTS: Patients had PET and computed tomography (CT) imaging at diagnosis and CT imaging yearly for a maximum of 10 years. The PET scans were scored 0 to 3 in 7 vascular areas and summed to a total vascular score (TVS). The PET scan results were positive when FDG uptake was grade 2 or greater in any large vessel. The association between vascular FDG uptake and aortic dimensions was estimated by linear mixed-effects models with random intercept and slope.

RESULTS: When compared with patients with a negative PET scan result, those with a positive scan result had a greater increase in the diameter of the ascending aorta (difference in 5-year progression, 1.58 mm [95% CI, 0.41 to 2.74 mm]), the diameter of the descending aorta (1.32 mm [CI, 0.38 to 2.26 mm]), and the volume of the thoracic aorta (20.5 cm³ [CI, 4.5 to 36.5 cm³]). These thoracic aortic dimensions were also positively associated with TVS. Patients with a positive PET scan result had a higher risk for thoracic aortic aneurysms (adjusted hazard ratio, 10.21 [CI, 1.25 to 83.3]).

LIMITATION: The lengthy inclusion and follow-up period resulted in missing data and the use of different PET machines.

CONCLUSION: Higher TVS was associated with greater yearly increase in thoracic aortic dimensions. Performing PET imaging at diagnosis may help to estimate the risk for aortic aneurysm formation.

PRIMARY FUNDING SOURCE: None.

PMID:37782924 | DOI:10.7326/M23-0679

Facial Plast Surg Aesthet Med. 2023 Sep 29. doi: 10.1089/fpsam.2022.0162. Online ahead of print.

ABSTRACT

Background: There is no consensus on optimal repair technique for nasal septal perforations (NSPs). Objective: To measure success rate and evaluate predictors of success for NSP repair. Methods: Medical records of patients who underwent NSP repair from 2010 to 2020 were reviewed. Included patients had at least 60 days of postsurgical follow-up. Surgical technique involves an endonasal approach; subperichondrial dissection with local flap mobilization; and multilayer closure using cartilage interposition graft, fascia graft, and mucoperichondrial flaps. A chi-squared test or Fisher exact test was used for statistical analysis. Results: Eighty-one repairs were performed with a closure rate of 86%. The median patient age was 46 years (range 13-77); 34.6% of perforations were ≥2 cm. Conchal (77.8%), rib (7.4%), or septal (7.4%) cartilage was used as graft material. A complication rate of 8.6% was reported. Perforation size or graft material had no impact on successful closure rate. Of patients with failed repairs, 55% had perioperative complications or conditions associated with poor healing. Conclusion: An endonasal approach for NSP repair showed a high success rate across diverse presentations; however, NSP repair was significantly more likely to be successful in patients without perioperative complications or pre-existing conditions associated with poor wound healing.

PMID:37782906 | DOI:10.1089/fpsam.2022.0162

JMIR Dermatol. 2023 Oct 2;6:e47769. doi: 10.2196/47769.

ABSTRACT

BACKGROUND: Psychodermatological disorders (PDs) and their associations with mental health problems are one of the most frequent research themes in dermatology outpatient settings. Surprisingly, very few studies have been conducted to evaluate PDs among patients with primary psychiatric conditions. As such, the relationship between preexisting psychiatric conditions and comorbid PDs is underrepresented in the literature.

OBJECTIVE: This study examined the prevalence and distribution of PDs among adults with primary psychiatric conditions and determined their association with underlying psychiatric diagnoses.

METHODS: We conducted a cross-sectional analysis at a tertiary health care facility in southwestern Nigeria. Comorbid PDs were identified and classified using preexisting classification systems. A bivariate analysis was conducted to determine the association between PDs and underlying psychiatric conditions. The level of statistical significance was set at P<.05.

RESULTS: The study included 107 patients with mental health disorders, of whom 64 (59.8%) were female. The mean age of the patients was 40.73 (SD 13.08) years. A total of 75 (75/107, 70%) patients had at least one comorbid PD. The prevalence of PDs was highest in patients with affective disorders (15/20, 75%) and least in those with schizophrenia (45/66, 68%). PDs associated with delusions or hallucinations and somatoform symptoms were 9 and 13 times more frequent in patients with anxiety disorders compared to those with other psychiatric conditions (P=.01; odds ratio [OR] 9.88, 95% CI 1.67-58.34 and P=.003; OR 13.13, 95% CI 2.34-73.65), respectively. In contrast, patients with schizophrenia were significantly less likely to be diagnosed with dermatoses resulting from delusions or hallucinations (P=.002; OR 0.04, 95% CI 0.00-0.75). A weak but significant negative association was also found between psychophysiological PDs and anxiety disorders (ϕ=-0.236; P=.02).

CONCLUSIONS: This study provides important insights into the overwhelming burden of psychodermatological conditions in patients with mental health disorders and specific associations with underlying psychiatric diagnosis.

PMID:37782534 | DOI:10.2196/47769

JMIR Res Protoc. 2023 Oct 2;12:e46082. doi: 10.2196/46082.

ABSTRACT

BACKGROUND: Achieving the weekly physical activity recommendations of at least 150-300 minutes of moderate-intensity or 75-150 minutes of vigorous-intensity aerobic exercise is important for reducing cardiometabolic risk, but evidence shows that most people struggle to meet these goals, particularly in the mid to long term.

OBJECTIVE: The Messages Improving Resting Heart Health (MIRTH) study aims to determine if (1) sending daily motivational messages through a research app is effective in improving motivation and in promoting adherence to physical activity recommendations in men and women with coronary heart disease randomized to a 12-month intensive lifestyle intervention, and (2) the time of the day when the message is delivered impacts compliance with exercise training.

METHODS: We will conduct a single-center, microrandomized trial. Participants will be randomized daily to either receive or not receive motivational messages over two 90-day periods at the beginning (phase 1: months 4-6) and at the end (phase 2: months 10-12) of the Lifestyle Vulnerable Plaque Study. Wrist-worn devices (Fitbit Inspire 2) and Bluetooth pairing with smartphones will be used to passively collect data for proximal (ie, physical activity duration, steps walked, and heart rate within 180 minutes of receiving messages) and distal (ie, change values for resting heart rate and total steps walked within and across both phases 1 and 2 of the trial) outcomes. Participants will be recruited from a large academic cardiology office practice (Central Sydney Cardiology) and the Royal Prince Alfred Hospital Departments of Cardiology and Radiology. All clinical investigations will be undertaken at the Charles Perkins Centre Royal Prince Alfred clinic. Individuals aged 18-80 years (n=58) with stable coronary heart disease who have low attenuation plaques based on a coronary computed tomography angiography within the past 3 months and have been randomized to an intensive lifestyle intervention program will be included in MIRTH.

RESULTS: The Lifestyle Vulnerable Plaque Study was funded in 2020 and started enrolling participants in February 2022. Recruitment for MIRTH commenced in November 2022. As of September 2023, 2 participants were enrolled in the MIRTH study and provided baseline data.

CONCLUSIONS: This MIRTH microrandomized trial will represent the single most detailed and integrated analysis of the effects of a comprehensive lifestyle intervention delivered through a customized mobile health app on smart devices on time-based motivational messaging for patients with coronary heart disease. This study will also help inform future studies optimizing for just-in-time adaptive interventions.

TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12622000731796; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=382861.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/46082.

PMID:37782531 | DOI:10.2196/46082

JMIR Res Protoc. 2023 Oct 2;12:e45512. doi: 10.2196/45512.

ABSTRACT

BACKGROUND: Over 10 million newborns worldwide undergo resuscitation at birth each year. Pediatricians may use electrocardiogram (ECG), pulse oximetry (PO), and stethoscope in determining heart rate (HR), as HR guides the need for and steps of resuscitation. HR must be obtained quickly and accurately. Unfortunately, the current diagnostic modalities are either too slow, obtaining HR in more than a minute, or inaccurate. With time constraints, a reliable robust heart rate detector (HRD) modality is required. This paper discusses a protocol for conducting a methods-based comparison study to determine the HR accuracy of a novel real-time HRD based on 3D-printed dry-electrode single-lead ECG signals for cost-effective and quick HR determination. The HRD’s HR results are compared to either clinical-grade ECG or PO monitors to ensure robustness and accuracy.

OBJECTIVE: The purpose of this study is to design and examine the feasibility of a proof-of-concept HRD that quickly obtains HR using biocompatible 3D-printed dry electrodes for single-lead neonatal ECG acquisition. This study uses a novel HRD and compares it to the gold-standard 3-lead clinical ECG or PO in a hospital setting.

METHODS: A cross-sectional study is planned to be conducted in the neonatal intensive care unit or postpartum unit of a large community teaching hospital in Toronto, Canada, from June 2023 to June 2024. In total, 50 newborns will be recruited for this study. The HRD and an ECG or PO monitor will be video recorded using a digital camera concurrently for 3 minutes for each newborn. Hardware-based signal processing and patent-pending embedded algorithm-based HR estimation techniques are applied directly to the raw collected single-lead ECG and displayed on the HRD in real time during video recordings. These data will be annotated and compared to the ECG or PO readings at the same points in time. Accuracy, F₁-score, and other statistical metrics will be produced to determine the HRD’s feasibility in providing reliable HR.

RESULTS: The study is ongoing. The projected end date for data collection is around July 2024.

CONCLUSIONS: The study will compare the novel patent-pending 3D-printed dry electrode-based HRD’s real-time HR estimation techniques with the state-of-the-art clinical-grade ECG or PO monitors for HR accuracy and examines how fast the HRD provides reliable HR. The study will further provide recommendations and important improvements that can be made to implement the HRD for clinical applications, especially in neonatal resuscitation efforts. This work can be seen as a stepping stone in the development of robust dry-electrode single-lead ECG devices for HR estimations in the pediatric population.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/45512.

PMID:37782528 | DOI:10.2196/45512

J Nerv Ment Dis. 2023 Oct 1;211(10):759-763. doi: 10.1097/NMD.0000000000001694. Epub 2023 Jul 10.

ABSTRACT

Since its introduction, schizoaffective disorder (SAD) has been one of the most controversial diagnoses in psychiatry, both clinically and nosologically. In the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), SAD diagnostic criteria were changed, and instead of a cross-sectional diagnosis, a longitudinal approach covering the life course of the illness was adopted. In this study, the meaning of this conceptual shift in the diagnosis of SAD in clinical practice is investigated throughout the course of the illness for patients with SAD. Sixty-two inpatients diagnosed with SAD according to DSM-5 diagnostic criteria are included in this study. The course of the illness from its onset to the present is investigated retrospectively. The disease duration is 18.3 ± 9.1 years. The most common diagnoses in the first hospitalization are bipolar disorder (manic episodes) and psychotic disorder, not otherwise specified. Furthermore, the time that elapsed between the first psychiatric application of the patients and the diagnosis of SAD is 9.5 ± 7.3 years. Further, when the course of the illness is grouped according to the predominance of affective and psychotic disorders, recurrent affective disorders are observed most frequently (29.3%), followed by mixed-episode disorders and a shift from affective disorders to psychotic disorders (22.4%). It is found that SAD has a heterogeneous course, and affective disorder diagnoses are more dominant during the course of the illness. The clinical relevance of the longitudinal emphasis on the total duration of the illness in the DSM-5 is also demonstrated. The affective and psychotic dichotomy, based on Kraepelin, has failed to elucidate the course of the disease in clinical practice. Therefore, clinicians should meticulously evaluate the entire course of the illness for SAD and avoid conclusive judgments over a single episode.

PMID:37782519 | DOI:10.1097/NMD.0000000000001694

JAMA Pediatr. 2023 Oct 2. doi: 10.1001/jamapediatrics.2023.4003. Online ahead of print.

ABSTRACT

IMPORTANCE: While the prevalence of autism spectrum disorder (ASD) continues to increase and early diagnosis is emphasized, there is limited information on outcomes for children diagnosed with ASD in early childhood using contemporary diagnostic criteria.

OBJECTIVES: To determine the frequency with which children who are clinically diagnosed with ASD at 12 to 36 months of age continue to meet diagnostic criteria for ASD at 5 to 7 years of age and to evaluate whether baseline child-specific and demographic characteristics and receipt of interventions are associated with ASD persistence.

DESIGN, SETTING, AND PARTICIPANTS: In this natural history cohort study, children who received a clinical ASD diagnosis at 12 to 36 months of age underwent a research diagnostic assessment at 5 to 7 years of age. Research assessments occurred from August 14, 2018, to January 8, 2022.

INTERVENTION: Children received community-based interventions, and parents provided details about interventions received.

MAIN OUTCOMES AND MEASURES: The main outcome was persistence of ASD diagnosis based on current functioning. An experienced research psychologist assigned an ASD diagnosis (present or absent) according to criteria from the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) after the research assessment. The research assessment included administration of the Autism Diagnostic Observation Schedule-2, Autism Diagnostic Interview-Research, and a cognitive measure.

RESULTS: Of the 213 participants diagnosed with ASD at initial clinical assessment (mean [SD] age, 24.6 [3.9] months; 177 boys [83.1%]), 79 (37.1%) did not continue to meet diagnostic criteria for ASD (nonpersistent ASD) at research assessment (mean [SD] age, 74.3 [7.1] months). All children with nonpersistent ASD had IQ of at least 70, while there was a bimodal distribution of IQ for those with persistent ASD (46 with IQ <70 and 88 with IQ ≥70). All children received some interventions, and 201 (94.4%) received ASD-specific intervention, mostly applied behavioral analysis. In a multilevel logistic regression model, the only variables associated with increased odds of being in the nonpersistent ASD group at 6 years of age were higher baseline adaptive skills (b coefficient = -0.287 [SE, 0.108]) and female sex (b = 0.239 [SE, 0.064]).

CONCLUSIONS AND RELEVANCE: The findings of this cohort study suggest that among toddlers diagnosed with ASD, baseline adaptive function and sex may be associated with persistence of ASD.

PMID:37782510 | DOI:10.1001/jamapediatrics.2023.4003

JAMA Netw Open. 2023 Oct 2;6(10):e2336483. doi: 10.1001/jamanetworkopen.2023.36483.

ABSTRACT

IMPORTANCE: Natural language processing tools, such as ChatGPT (generative pretrained transformer, hereafter referred to as chatbot), have the potential to radically enhance the accessibility of medical information for health professionals and patients. Assessing the safety and efficacy of these tools in answering physician-generated questions is critical to determining their suitability in clinical settings, facilitating complex decision-making, and optimizing health care efficiency.

OBJECTIVE: To assess the accuracy and comprehensiveness of chatbot-generated responses to physician-developed medical queries, highlighting the reliability and limitations of artificial intelligence-generated medical information.

DESIGN, SETTING, AND PARTICIPANTS: Thirty-three physicians across 17 specialties generated 284 medical questions that they subjectively classified as easy, medium, or hard with either binary (yes or no) or descriptive answers. The physicians then graded the chatbot-generated answers to these questions for accuracy (6-point Likert scale with 1 being completely incorrect and 6 being completely correct) and completeness (3-point Likert scale, with 1 being incomplete and 3 being complete plus additional context). Scores were summarized with descriptive statistics and compared using the Mann-Whitney U test or the Kruskal-Wallis test. The study (including data analysis) was conducted from January to May 2023.

MAIN OUTCOMES AND MEASURES: Accuracy, completeness, and consistency over time and between 2 different versions (GPT-3.5 and GPT-4) of chatbot-generated medical responses.

RESULTS: Across all questions (n = 284) generated by 33 physicians (31 faculty members and 2 recent graduates from residency or fellowship programs) across 17 specialties, the median accuracy score was 5.5 (IQR, 4.0-6.0) (between almost completely and complete correct) with a mean (SD) score of 4.8 (1.6) (between mostly and almost completely correct). The median completeness score was 3.0 (IQR, 2.0-3.0) (complete and comprehensive) with a mean (SD) score of 2.5 (0.7). For questions rated easy, medium, and hard, the median accuracy scores were 6.0 (IQR, 5.0-6.0), 5.5 (IQR, 5.0-6.0), and 5.0 (IQR, 4.0-6.0), respectively (mean [SD] scores were 5.0 [1.5], 4.7 [1.7], and 4.6 [1.6], respectively; P = .05). Accuracy scores for binary and descriptive questions were similar (median score, 6.0 [IQR, 4.0-6.0] vs 5.0 [IQR, 3.4-6.0]; mean [SD] score, 4.9 [1.6] vs 4.7 [1.6]; P = .07). Of 36 questions with scores of 1.0 to 2.0, 34 were requeried or regraded 8 to 17 days later with substantial improvement (median score 2.0 [IQR, 1.0-3.0] vs 4.0 [IQR, 2.0-5.3]; P < .01). A subset of questions, regardless of initial scores (version 3.5), were regenerated and rescored using version 4 with improvement (mean accuracy [SD] score, 5.2 [1.5] vs 5.7 [0.8]; median score, 6.0 [IQR, 5.0-6.0] for original and 6.0 [IQR, 6.0-6.0] for rescored; P = .002).

CONCLUSIONS AND RELEVANCE: In this cross-sectional study, chatbot generated largely accurate information to diverse medical queries as judged by academic physician specialists with improvement over time, although it had important limitations. Further research and model development are needed to correct inaccuracies and for validation.

PMID:37782499 | DOI:10.1001/jamanetworkopen.2023.36483