Pre-existing Diagnosis Research Articles

Evaluation of New Mental Health Diagnoses After Pediatric Traumatic Injuries at a Level 1 Pediatric Trauma Center.

Traumatic injury is associated with significant mental health morbidity. To evaluate the need for implementation of active-post injury mental health screening at a Level 1 Pediatric Trauma center, we aimed to characterize all new mental health diagnoses after injury and evaluated for patient or injury factors that may aid in targeting of future screening. A single-center retrospective analysis of trauma patients aged 6-18years presenting in 2022 was performed. Our primary outcome was a new DSM-5 mental health diagnosis documented after traumatic injury. Patients with and without a new mental health diagnosis were compared by age, sex, race, ethnicity, injury type/mechanism, injury severity score (ISS), intensive care unit (ICU) admission, and length of stay (LOS). 492 patients were included. Their median (IQR) age was 13.5 (10.4, 15.4) years. The median (IQR) follow-up interval was 157 (9, 429) days. There were 24 (4.9%) children with a new mental health diagnosis: 12 (50%) with trauma-related stress disorders, with the remaining having diagnoses such as depressive or anxiety disorders. Patients with a new mental health diagnosis had longer LOS (3.0 [1.8, 7.5] vs 2.0 [1.0, 3.3] days, P = 0.02) and were more likely to have sustained penetrating injury (P = 0.01). There were no differences in demographics, rates of preexisting mental health diagnosis or area deprivation index (P > 0.05). There were fewer new mental health diagnoses in our cohort than expected, likely underestimating the acute need. Comprehensive post-injury screening is imperative to sufficiently identify and intervene upon mental health morbidity after pediatric trauma.

Abstract 4120375: Penetrance and Phenotype Conversion Rate of Genetic Hypertrophic Cardiomyopathy in an Academic Biobank

Introduction: Hypertrophic cardiomyopathy (HCM) is an autosomal dominant condition with incomplete penetrance and variable expressivity. Given the increasing prevalence of sequencing and current guidelines on secondary finding disclosure, HCM P/LP alleles are increasingly being returned to patients who undergo genetic testing for other reasons. Whether individuals carrying P/LP HCM variants discovered in a genome-first context have progressive endophenotypes indicative of HCM remains poorly understood. Methods: To evaluate the penetrance and phenotype conversion rate of adults with P/LP HCM variants, we leveraged the Massachusetts General Brigham Biobank (MGBB), which consists of 36,417 participants with genotyping array and clinical data. Primary images of the earliest and latest TTE studies were reviewed for measurements of the posterior wall (PW), interventricular septum (IVS), and left ventricular morphology. Phenotype-positive (P+) status was defined by a PW or IVS thickness of at least 13 mm. Results: P/LP HCM variants were identified in 42 (0.1%) individuals with mean (SD) age 50.0 (16.6) years and 21 (50%) female sex. The most common HCM variants were in MYBPC3 (44%) and MYH7 (40%), followed by TNNI3(7%), MYL3 (7%), and TNNT2 (2%). Among the 42 genotype-positive (G+) individuals in MGBB, 17 (40%) had pre-existing HCM diagnoses prior to genomic return of results (gRoR). In contrast, 25 (60%) G+ individuals lacked a prior HCM diagnosis, among whom gRoR prompted TTE studies in 13 patients, revealing evidence of HCM in 9 individuals. Among the 42 G+ patients, 25 (58%) patients had completed at least two TTE studies, with a median [IQR] of 6 [3-9] TTE studies per patient, across a span of 10 [7-15] years follow-up. At the time of first TTE, 16 (64%) patients were P+ while 9 (36%) were P-. No G+, P- individuals converted to P+ over 10 years follow-up, nor was there any significant change in IVS or PW thickness. In contrast, individuals who were P+ at the initial TTE exhibited thickening PW (25% increase, CI 97.5% of 6 to 44) and IVS (26% increase, CI 97.5% of 4 to 49) over 8 years follow-up. Conclusion: In a genome-first approach, we identified 42 individuals in the MGBB with a P/LP HCM variant, among whom 60% lacked a prior clinical diagnosis of HCM. Targeted phenotyping revealed that nearly half of this newly identified group were P+. Over a median of 10 years follow-up, we observed a 0% phenotype conversion rate among G+, P- adult carriers of HCM variants.

Abstract 4122120: Prospective Implementation of a Cardiovascular Implantable Electronic Device Algorithm-Based Management Pathway in Routine Heart Failure Care

Introduction: More than 1 million patients in the US are hospitalized annually with heart failure (HF), many of whom have cardiovascular implantable electronic devices (CIEDs). CIEDs monitor physiologic variables that could identify subacute HF decompensation and impending HF hospitalization (HFH). One such algorithm is Medtronic’s TriageHF TM , which integrates nine diagnostic inputs from remote monitoring data to stratify patients into categories of low-, medium-, or high-risk of HFH in the next 30 days. Goals/Aims: To implement and evaluate a program in which two Veterans Health Administration (VHA) cardiology clinics receive high-risk TriageHF TM scores for patients with CIEDs, followed by contacting and assessing patients and then taking appropriate clinical action. Methods: From 1/18/24 to 4/19/24, TriageHF TM risk scores were calculated from both HF-specific remote transmissions that were scheduled every 30 days and unscheduled remote transmissions. Clinicians then contacted patients with high-risk scores regarding possible symptoms and provided an empiric 3-day diuretic intervention (initiation or dose augmentation), adjusted guideline-directed medical therapy (GDMT), or performed another clinical action as appropriate. Results: Among 358 patients with 1140 transmissions, 72 (6%) patients had a high-risk transmission. Mean patient age was 72.8 years, 346 (97%) were male, and 221 (62%) had a pre-existing diagnosis of heart failure. Of the 72 patients with high-risk transmissions, 67 (93%) were successfully contacted; 34 (51%) had no HF symptoms, 24 (36%) had mild to moderate symptoms, 2 (3%) had severe symptoms, 4 (6%) had non-HF symptoms, and 3 (4%) could not report symptoms. Of the 67, 57 (85%) reported adherence to medications and 17 (25%) were identified as likely having a non-HF related high-risk score. Forty-six (69%) had a clinical action taken in response to the high-risk score, including 28 (42%) with a diuretic intervention, 12 (18%) with GDMT augmented, and 25 (37%) with other actions, such as being referred to HF clinic. Conclusions: In this implementation study, clinicians contacted and assessed nearly all patients at high-risk for HF decompensation based on CIED remote monitoring data. Approximately 70% of patients had an actionable high-risk score, with approximately half prescribed empiric diuretics or augmented GDMT. A randomized clinical trial is needed to determine whether this algorithm and subsequent intervention improves clinical outcomes.

Abstract 4134692: In-Hospital Mortality Rate and Predictors of 30-Day Readmission in Cancer Patients with MI Undergoing PCI -A Cross Sectional Study From Nationwide Readmission Database

Background and objectives: Data regarding readmission rates and predictors of readmission in cancer patients undergoing PCI are sparce. With the increasing survival rates and prevalence of cardiovascular complications in cancer patients, understanding the patterns and predictors of readmission in this population is paramount for optimizing their outcomes. Cancer patients pose unique clinical challenges due to their combined prothrombotic state and propensity for bleeding. We attempted to identify factors associated with readmission in cancer patients. Methods: We utilized the Nationwide Readmission Database from 2016 to 2020 and included patients more than 18 years of age with primary diagnosis of myocardial infarction(MI) who underwent percutaneous coronary intervention(PCI) and have a preexisting diagnosis of cancer. We used International Classification of Disease, Tenth Revision, Clinical Modification (ICD10 CM) codes to define MI, PCI, and cancer. The primary outcome was the 30-day readmission rate, and secondary outcomes were mortality rates, predictors of readmission, and common causes of readmission. The independent predictors of readmission were analyzed using cox regression analysis. Results: Of the 52,307 cancer patients who underwent PCI, 7,767 were readmitted within a 30-day period. The readmission rate for these patients was 15.70%. The mortality rate was 6.05% for index admission and 6.80% for readmitted cases. Among the readmitted patients in the strongest independent predictor for readmission were leaving against medical advice(AMA), anemia, congestive heart failure, and discharge to a skilled nursing facility or home health. Common causes of readmission within this time included hypertensive heart disease with concomitant CKD stage I-IV and heart failure (6.21%), sepsis (6.12%), NSTEMI (5.60%), hypertensive heart disease with concomitant heart failure (4.62%) and acute kidney injury (1.98%). Conclusions: Thirty-day readmission rate was 15.70%. Independent predictors of readmission were anemia, diabetes mellitus, congestive heart failure, malnutrition, peripheral artery disease, leaving against medical advice, and discharge to facility. Most common cause of readmission was hypertensive heart and kidney disease with heart failure, which comprised 6.21%.

Pregnancy care experiences for adults with congenital heart disease in the United States

BackgroundResearch to reduce maternal morbidity due to cardiovascular disease is vitally important in the United States, especially for the growing number of individuals with congenital heart disease (CHD) reaching childbearing age. Understanding patient experiences through patient engagement is critical to designing research that is aligned with the needs of adults with CHD undergoing pregnancy. MethodsThis patient engagement project, grounded in human centered design, focuses on the discovering patient and healthcare provider priorities for reducing maternal morbidity in CHD through patient centered outcomes research (PCOR). In this first stage, a capacity building consortium of over 90 key partners, including patients, advocates, healthcare providers, and researchers, was assembled. Baseline education on patient engagement, PCOR, and survey instrument design was delivered virtually. Two questionnaires were designed to elicit tacit knowledge – one for patients and one for providers – regarding gaps and needs across four key pillars: access to clinical care, patient and provider education, mental health, and research opportunities. The pillars were determined through thematic summaries from consortium discussions. ResultsThe patient questionnaire received 828 responses (age range: 18-60 years) from 48 U.S. states. The provider questionnaire garnered 218 responses from professionals. Several common themes for areas of research were observed across all pillars including improved access to specialized cardio-obstetric care and improved education about the need for specialized care. Healthcare providers cited insufficient care coordination models and resources as a major barrier to providing effective clinical care. Both patients and providers expressed a need for improved access to mental health care. While only 28% of patient respondents who underwent a pregnancy reported a pre-existing mental health diagnosis, nearly 2/3 reported having significant anxiety symptoms related to their pregnancy. Of those with significant symptoms, 44% were unable to access mental health services. Additionally, only 55% of healthcare providers reported referral for assessment and treatment if mental health concerns arose during or after pregnancy. ConclusionThe results provide valuable insights into the unique challenges faced by patients with CHD and their providers during pregnancy. By addressing the identified gaps through PCOR, we can work towards a goal to improve maternal care for women with CHD.

Delirium risk and mortality in people with pre-existing severe mental illness: a retrospective cohort study using linked datasets in England.

Delirium is a severe neuropsychiatric syndrome caused by physical illness, associated with high mortality. Understanding risk factors for delirium is key to targeting prevention and screening. Whether severe mental illness (SMI) predisposes people to delirium is not known. We aimed to establish whether pre-existing SMI diagnosis is associated with higher risk of delirium diagnosis and mortality following delirium diagnosis. A retrospective cohort and nested case-control study using linked primary and secondary healthcare databases from 2000-2017. We identified people diagnosed with SMI, matched to non-SMI comparators. We compared incidence of delirium diagnoses between people with SMI diagnoses and comparators, and between SMI subtypes; schizophrenia, bipolar disorder and 'other psychosis'. We compared 30-day mortality following a hospitalisation involving delirium between people with SMI diagnoses and comparators, and between SMI subtypes. We identified 20 566 people with SMI diagnoses, matched to 71 374 comparators. Risk of delirium diagnosis was higher for all SMI subtypes, with a higher risk conferred by SMI in the under 65-year group, (aHR:7.65, 95% CI 5.45-10.7, ⩾65-year group: aHR:3.35, 95% CI 2.77-4.05). Compared to people without SMI, people with an SMI diagnosis overall had no difference in 30-day mortality following a hospitalisation involving delirium (OR:0.66, 95% CI 0.38-1.14). We found an association between SMI and delirium diagnoses. People with SMI may be more vulnerable to delirium when in hospital than people without SMI. There are limitations to using electronic healthcare records and further prospective study is needed to confirm these findings.

Is alcohol use disorder associated with higher rates of depression and anxiety among people with new onset type 2 diabetes? A cohort study using linked primary care data in England

IntroductionDepression and alcohol use disorder (AUD) in people living with Type 2 diabetes mellitus (T2DM) are associated with worse health outcomes. AUD is strongly associated with depression and anxiety, but it is not known how these conditions cluster in people with T2DM. We investigated rates of new episodes of depression and anxiety following T2DM diagnosis in people with and without prior AUD among an English primary care population.MethodsThe study population was people diagnosed with T2DM between 2004 and 2019. We used the Clinical Practice Research Datalink (CPRD) Aurum database and linked Hospital Episode Statistics Admitted Patient Care (HES APC) and Office for National Statistics (ONS) mortality data. We examined incidence of new episodes of anxiety or depression in people with T2DM with and without AUD. AUD was defined as any of i) clinical diagnosis; ii) alcohol withdrawal; or iii) chronic alcohol-related harm (physical or mental) using SNOMED-CT or ICD-10 codes. People were excluded if they had codes for depression/anxiety 12 months prior to T2DM diagnosis. Poisson regression models were fitted adjusting sequentially for a) age, gender, calendar time; b) region, Index of Multiple Deprivation, ethnicity, body mass index, smoking status, Charlson co-morbidity index; and c) history of a mental health condition.ResultsOur study population was 479,447 people of whom 10,983 (2.3%) had an AUD code prior to T2DM diagnosis.After adjusting for all measured confounders except history of a mental health condition, IRR for depression was 2.00 (95% CI 1.93, 2.06) for people with AUD compared to without AUD. This reduced to 1.45 (95% CI 1.41, 1.50) after further adjustment for history of a mental health condition.Findings for anxiety were substantially similar to those for depression (adjusted for all measured confounders except history of a mental health condition, IRR 2.08 95% CI 1.99, 2.18 fully adjusted IRR 1.48 95% CI 1.41, 1.55).ConclusionsPeople with AUD have over double the rates of depression and anxiety following T2DM diagnosis than those without AUD. This was only partially explained by pre-existing diagnoses of mental health conditions. A holistic approach incorporating mental health support is needed to improve health outcomes for people with AUD who develop T2DM.Trial registrationNot applicable.

Prevalence of central nervous system-active polypharmacy in a cohort of older adults in Argentina.

Central nervous system (CNS)-active polypharmacy is frequent and potentially harmful in older patients. Data on its burden outside the USA and European countries remain limited. To estimate the period prevalence of and factors associated with out-of-hospital CNS-active polypharmacy in older adults. We used data from a cohort of out-patients aged ≥60 years affiliated to the Hospital Italiano de Buenos Aires' health maintenance organisation on 1 January 2021. A CNS-active polypharmacy event was defined as the concurrent exposure to ≥3 CNS-active medications (i.e. antidepressants, anti-epileptics, antipsychotics, benzodiazepines, Z-drugs and opioids) through filled out-of-hospital prescriptions. We calculated the period prevalence of CNS-active polypharmacy for 2021. We identified factors associated with CNS-active polypharmacy using a multivariable logistic regression model to estimate odds ratios and 95% confidence intervals (CI). We included 63 857 patients. Pre-existing mental health diagnoses included anxiety (21%), depressive (14%) and sleep (11%) disorders. CNS-active polypharmacy occurred in 4535 patients, for a period prevalence of 7.1% (95% CI: 6.9-7.3%). The combination of an antidepressant, an antipsychotic and a benzodiazepine accounted for 21% of the CNS-active polypharmacy events. Frontotemporal dementia (odds ratio: 14.67; 95% CI: 4.47-48.20), schizophrenia (odds ratio: 7.93; 95% CI: 4.64-13.56), bipolar disorder (odds ratio: 7.20; 95% CI: 5.45-9.50) and depressive disorder (odds ratio: 3.50; 95% CI: 3.26-3.75) were associated with CNS-active polypharmacy. One in 14 adults aged 60 years and older presented out-of-hospital CNS-active polypharmacy. Future studies should evaluate measures to reduce CNS-active medication use in this population.

Complications after cardiac implantable electronic devices in patients with severe mental illness: a Danish nationwide study

Abstract Background Patients with mental illness experience higher rates of postoperative complications and mortality across several types of surgery, but knowledge is lacking in relation to cardiac implantable electronic device (CIED) implantations. Purpose Our study aimed to investigate the 7-day, 30-day, and 90-day postoperative complication rate and mortality in patients with severe mental illness compared to the general population. Methods All adult patients in Denmark with a first-time pacemaker or ICD implantation during the study period from July 1995 to December 2022 were identified using the Danish nationwide registers. Severe mental illness was defined as having a preexisting diagnosis of schizophrenia and other non-affective psychotic disorders, bipolar affective disorders or major depressive disorder. Postoperative complications were obtained as diagnosis codes possibly relating to device implantation and categorized into seven types of complications: arterial thrombosis, venous thrombosis, pneumothorax, bleeding, infection, device function problem, and death. Stratified logistic regression analyses adjusted for sex and age were used to calculate the odds of postoperative complications within 7, 30, and 90 days of device implantation. Results Among 108,790 patients who had a de novo pacemaker or ICD implantation the mean age was 73.5 (± 12.8), 37.5% were women and 3,393 (3.1%) of the patients had preexisting severe mental illness. In total, 10,690 (9.8%) patients had one or more complications within 90 days. The number of patients with severe mental illness who experienced a complication were 407 (12.0%) while it was 10,283 (9.8%) of those without severe mental illness. Odds of death (OR 1.57, 95% CI: 1.03-2.29) were higher in patients with severe mental illness 7 days postoperatively, and 30 days postoperatively odds of venous thromboembolism (OR: 1.69, 95% CI: 1.05-2.56) and death (OR: 1.62, 95% CI: 1.29-2.01) were higher in patients with severe mental illness. 90 days postoperatively odds of venous thrombosis (OR: 1.95, 95% CI: 1.37-2.70), infection (OR: 1.45, 95% CI: 1.16-1.79), and death (OR: 1.40, 95% CI: 1.19-1.65) were higher in patients with severe mental illness compared to patients without severe mental illness, while the odds of pneumothorax were lower at all three time points for patients with severe mental illness (OR 7-days: 0.49, 95% CI: 0.21-0.95). The odds of arterial thrombosis, bleeding and device function problems were similar between the two groups at all three time points. Conclusion Severe mental illness was associated with increased risk of several types of complications and death following CIED implantation. This indicates that further care and attention is needed to ensure adequate treatment of patients with severe mental illness suffering from cardiac arrhythmias.Forest plot, SMI: severe mental illness

A matter of inflammation: CAR T-cell therapy and atrial fibrillation

Abstract Background Chimeric antigen receptor (CAR) T-cell therapy has been revolutionary in the treatment of blood cancers, but has been associated with arrhythmias such as atrial fibrillation (AF). Whether the incidence of AF has changed over time and if contributing risk factors are present remains to be defined. Methods Leveraging the Mayo Electronic Medical Record, we extracted a cohort of patients who underwent CAR T-cell therapy between 2016 and 2022. From this cohort, we identified those who had a diagnosis of AF at any point. We then defined the endpoint of interest as the first episode of new or recurrent AF during or after CAR T-cell infusion. Fine and Gray subdistribution hazard modeling was used to calculate the association of patient characteristics to the endpoint of interest. Variables with P<0.20 in univariate modeling were chosen for the multivariate model. Significance was defined as P<0.05. Results There were 328 patients who underwent CAR T-cell therapy between 2016 and 2022. Of this cohort, 27 (8.2%) patients had a pre-existing diagnosis of AF, of which 6 had recurrence of AF after CAR T (22.2%), while 21 (77.8%) did not. Of the 301 patients without a prior history of AF, 8 (2.7%) patients developed new-onset AF after CAR T. The majority of the 14 new or recurrent AF events (4.3% overall incidence) occurred within 30 days of receiving CAR T (N=10, 71.4%), the remainder after 180 days (Figure 1). No trend in declining incidence over time was noted. Prior AF, neurotoxicity, and inflammation (cytokine release syndrome and macrophage activating syndrome-like (MAS-L)) were strongly associated with the risk of developing new or recurrent AF (Table 1). Only presence of MAS-L remained an independent predictor in the multivariate model (HR 15.4, 95% CI 3.9-61.2, P<0.001). Conclusion AF is mainly seen early following CAR T-cell therapy, and mainly in association with severe inflammatory responses. Early and aggressive treatment of CRS and MAS-L may be recommendable for patients undergoing CAR-T therapy, especially for those with a prior history of AF.

Exploring the long-term effects of dapagliflozin in patients with stable acute myocardial infarction and preserved ejection fraction through a propensity score matching study

Abstract Background and Aims The recent Emmy trial underscored notable improvements in cardiac structure and function among post-acute myocardial infarction (AMI) patients treated with Empagliflozin, compared to those receiving a placebo. However, limitations such as a small sample size and a short follow-up period hindered the assessment of potential differences in actual clinical events between the groups. Consequently, our study aimed to evaluate the long-term outcomes, survival rates, rates of major adverse cardiovascular events (MACE), and heart failure (HF) incidence in patients with preserved ejection fraction (EF) who experienced AMI and underwent successful percutaneous coronary intervention (PCI), comparing those who received early initiation of Dapagliflozin with those who did not. Methods Data from the Taipei Medical University Research Database in Taiwan identified 7,081 inpatients who met the criteria of AMI status post successful PCI, with a left ventricular ejection fraction (LVEF) greater than 50% and absence of clinical symptoms indicative of heart failure. Exclusion criteria included individuals with a pre-existing diagnosis of heart failure before the index AMI episode and those with an LVEF below 50%, resulting in the exclusion of 357 patients from our study. The study subjects were then divided into two groups: those treated with Dapagliflozin and those not treated with Dapagliflozin, with matching for age, diabetes mellitus, and chronic kidney disease in a 1:2 ratio. Results The cohort study included of 756 patients who met the criteria of this study, among whom 252 were Dapagliflozin users and 504 were not. Over a 7-year follow-up period, Kaplan-Meier survival analyses revealed a significant reduction in cardiovascular mortality and all-cause mortality among Dapagliflozin users compared to non-users (p < 0.01). However, no significant differences were observed in heart failure, recurrent AMI, or stroke during the follow-up. Multivariate Cox analysis indicated the use of Dapagliflozin (hazard ratio = 0.310, 95% confidence interval = 0.188-0.510, p < 0.001) and age of diagnosis (hazard ratio = 1.063, 95% confidence interval =1.045-1.081, p < 0.001) were both independent predictors of all cause death. Conclusions In patients with stabilized AMI, the use of Dapagliflozin was associated with a decreased risk of all-cause death, especially cardiovascular mortality. However, there were no significant differences observed in the rates of heart failure, recurrent AMI, or stroke over the seven-year follow-up period.Baseline characteristicsKaplan–Meier curves of all cause death

Preexisting pulmonary hypertension impact on in-hospital outcomes of cardiac implantable electrical device implantation

Abstract Background Preexisting pulmonary hypertension (PH) is associated with unfavorable in-hospital outcomes in cardiac as well as non-cardiac surgeries and procedures. However, its impact on cardiac implantable electronic device (CIED) implantations is not established. We investigated the extent of preexisting PH among patients undergoing CIED implantations and evaluated its effect on in-hospital outcomes. Methods Using the National Inpatient Sample (NIS) database, we identified patients who were hospitalized in the US between 2016-2019 and underwent CIED implantation with a preexisting diagnosis of PH. Patients with any CIED in-situ were excluded. Sociodemographic, clinical data, in-hospital procedures and outcomes as well as in-hospital mortality were collected. Multivariable logistic regression models were used to identify predictors of in-hospital complications. Results An estimated total of 718,980 patients underwent CIED implantation during the study period. Of them, 74,150 patients (10.3%) had preexisting PH diagnosis. Compared with non-PH patients, PH patients were older, had higher Charlson Comorbidity Index, and more often implanted with implantable cardioverter defibrillators and cardiac resynchronization therapy devices. Higher rate of total complications was observed in PH patients (14.5% versus 9.9%; P<0.001) driven mainly by respiratory complications as well as in-hospital mortality (2.3% versus 1.2%; P<0.001). Multivariable analyses confirmed PH as an independent predictor for respiratory complications, total complications and in-hospital mortality. Conclusion Preexisting PH in patients undergoing CIED implantation was associated with increased risk for respiratory complications as well as in-hospital mortality in a US nationwide, all-comer registry.

Hearing Loss, Incident Parkinson Disease, and Treatment With Hearing Aids

The risk of developing Parkinson disease (PD) after objective hearing loss is unknown. PD studies using self-reported hearing loss are insensitive, and objective data are lacking. To examine the association of hearing loss with incident PD in US veterans and its effect modification by well-established prodromal conditions and hearing aids. This cohort study analyzed electronic health record data from the US Department of Veterans Affairs for veterans who had an audiogram from January 1, 1999, to December 30, 2022. Individuals with data missing or a preexisting PD diagnosis were excluded. Audiogram-confirmed hearing loss. Cumulative incidence of PD was calculated with adjustment for competing risk of death. Among 7 296 051 veterans with an audiogram, 3 596 365 were included. They were mostly male (n = 3 452 898 [96%]) and had a mean (SD) age of 67 (10.3) years. A total of 750 010 individuals (20.8%) had normal hearing at the time of audiometry examination; among those with hearing loss, 1 080 651 (30.0%), 1 039 785 (28.9%), 568 296 (15.8%), and 157 623 (4.3%) individuals had mild (20-<35 dB), moderate (35-<50 dB), moderate to severe (50-<65 dB), and severe to profound (65-120 dB) hearing loss, respectively. Age, gender, and smoking history were balanced between all exposed and unexposed groups with further adjustment for race, ethnicity, and frailty. At 10 years after the baseline audiogram, the numbers of additional cases of PD were 6.1 (95% CI, 4.5-7.79, 15.8 (95% CI, 12.8-18.8), 16.2 (95% CI, 11.9-20.6), and 12.1 (95% CI, 4.5-19.6) among veterans with mild, moderate, moderate to severe, and severe to profound hearing loss, respectively, compared with those with normal hearing. When combined with established prodromal conditions, hearing loss was associated with 5.7 (95% CI, 2.2-9.2) additional cases of PD at 10 years compared with either condition alone. With prompt hearing aid dispensation, incident cases of PD decreased by 21.6 cases (95% CI, 19.5-23.6) at 10 years. Hearing loss appears to be an independent risk factor for later development of PD. Hearing aids attenuate this risk, and therefore widespread screening for hearing loss and appropriate use of hearing aids may reduce the incidence of PD. Additional studies are needed to examine the mechanisms underlying the association between hearing loss and PD.

Parent-reported autism spectrum disorder (ASD) symptomatology of children with ASD during the COVID-19 pandemic: a 1.5-year longitudinal study

Objectives The COVID-19 pandemic and the associative preventive measures have had profound societal impacts. Children and adolescents with a pre-existing diagnosis of autism spectrum disorder (ASD) were considered particularly vulnerable. Methods This longitudinal study examined parent-reported ASD symptomatology of children with pre-existing ASD diagnoses during the COVID-19 pandemic. The study involved 39 children and adolescents with ASD (5-19 years; 66% males) and utilized multiple regression analyses to assess ASD symptomatology (SRS-2) across three time points: pre-COVID-19 pandemic (T0), one year into the pandemic (T1; during the second national lockdown) and one and a half years into the pandemic (T2; during a period of less restrictive measures). Additionally, the study examined the potential moderating effects of Age, Sex, and full-scale intelligence quotient (FSIQ) on ASD symptomatology. Results The findings indicate relative stability of ASD symptomatology over time, irrespective of age, sex, or FSIQ. Contrary to previous research, no significant exacerbation or alleviation of ASD symptomatology during the COVID-19 pandemic was observed. Conclusions This study highlights the robustness of ASD symptomology, even in the face of significant external stressors such as the COVID-19 pandemic. The implications of these findings for further research and clinical practice in the field of ASD are discussed.

Inborn Errors of Immunity in Pediatric Intensive Care: Prevalence, Characteristics, and Prognosis.

Inborn errors of immunity (IEI) are a heterogeneous group of genetic diseases characterized by impaired immune system function. This prospective study aimed to determine the frequency, characteristics, and clinical course of IEI patients admitted to the pediatric intensive care unit (PICU) and identify mortality-related factors. Using a comprehensive immunological evaluation protocol, we screened 753 PICU admissions for potential IEIs during three years. Patients with pre-existing IEI diagnoses, chronic diseases, ongoing chronic medication regimens, other known comorbidities, trauma cases, post-surgical cases, and poisonings were excluded. Thirty-three patients were newly diagnosed with IEIs during or as a result of their PICU stay, representing an incidence of 4.39%. The most common disorders were immunodeficiencies with immune dysregulation (48.5%), followed by combined immunodeficiencies (24.2%). Severe viral infections (61%) and life-threatening infections (51.7%) were the most frequent warning signs. Only 31% of patients exhibited at least two Jeffrey Modell Foundation warning signs. The mortality rate was 58%, highlighting the need for early diagnosis and treatment. Newborn screening and family segregation studies are crucial to improving outcomes for IEI patients in intensive care settings.

Sleep Characteristics of Children and Youth with Cerebral Palsy.

Background: Children with cerebral palsy are considered to be a population at risk for the occurrence of sleep difficulties. However, existing literature has been limited by subjective measures of sleep and has failed to examine contributing factors. Methods: Forty-five youth with cerebral palsy participated. Both youth and caregivers completed sleep-related questionnaires, while youth completed daily actigraphy for objective sleep assessments. Results: Sleep patterns, including sleep duration, wake after sleep onset, and sleep efficiency, are generally aligned with existing sleep recommendations. However, the number of awakenings was significantly higher in youth with cerebral palsy compared to these recommendations. Most youth experienced poor sleep quality, and approximately a quarter experienced insomnia. Being a boy and having a preexisting mental health diagnosis was associated with poor sleep quality and greater insomnia symptoms. Conclusions: Most youth with cerebral palsy experience a range of sleep difficulties. This study provides new information on sleep patterns in youth with cerebral palsy, highlighting the importance of addressing sleep issues in this population to improve their well-being and ultimately limit the negative impacts on overall health and quality of life.

Implementation of a Cardiovascular Implantable Electronic Device Heart Failure Prediction Tool-Guided Management Pathway

Introduction and ObjectivesCardiovascular implantable electronic devices (CIEDs) monitor physiologic variables that could identify subacute heart failure (HF) decompensation and impending HF hospitalization (HFH). One such algorithm uses measurements from the previous 30 days of CIED remote monitoring data to predict low-, medium-, or high-probability of HFH in the next 30 days. We sought to understand how to prospectively implement use of such algorithms in routine HF care. MethodsFrom 1/18/24 to 4/19/24, HF risk categories were predicted from scheduled remote transmissions every 30 days and from unscheduled transmissions for all patients at two distinct cardiology clinics. Clinicians contacted and assessed patients at high-risk regarding symptoms and then provided an empiric 3-day diuretic intervention (initiation or dose augmentation), adjusted guideline-directed medical therapy (GDMT), or performed other clinical action as appropriate. ResultsAmong 358 patients with 1140 remote transmissions, 72 (20%) had ≥1 transmission categorized as high-risk. Mean patient age was 72.8 years, 346 (97%) were male, and 221 (62%) had a pre-existing diagnosis of HF. Of these 72 patients, 67 (93%) were successfully contacted; 34 (51%) had no HF symptoms, 24 (36%) had mild to moderate symptoms, and 2 (3%) had severe symptoms. Forty-six (69%) patients had clinical action taken, including 28 (42%) with a diuretic intervention and 12 (18%) with GDMT augmented. ConclusionsIn this implementation study, clinicians contacted and assessed nearly all patients at high-risk for HF decompensation based on CIED remote monitoring data and intervened on more than two-thirds. A randomized clinical trial is needed to determine whether this algorithm and subsequent intervention improves clinical outcomes.

UNSEEN TUBERCULOSIS: STUDY AMONG INPATIENTS OF A TERTIARY CARE HOSPITAL OF NORTH KARNATAKA

Objective: Tuberculosis (TB) remains a significant global health challenge, particularly in high-burden countries like India. However, high proportion of people never diagnosed or treated. Delayed diagnosis poses a significant threat to hospital inpatients, health-care workers, and medical trainees. Hence, systematic screening of high-risk groups, including hospital inpatients, has been recommended as a strategy to identify TB. Using signs and symptoms as an independent screening tool remains a global challenge for its relatively low accuracy. However, it could still be of value when it was used in a specific target population like inpatients of hospital. Hence, this study is aimed to determine the proportion of presumptive and active TB cases among inpatients. Methods: A hospital-based cross-sectional study was conducted among inpatients above 18 years of age admitted in non-emergency wards admitted during March to April 2023 at ESIC Hospital in Kalaburagi. A pre-existing TB diagnosis and patients admitted to critical care units were excluded. The convenient sampling method was used to recruit participants. Data were collected through using a pre-designed, semi-structured questionnaire. The patients who presented with one of the four symptoms for screening had undergone investigations such as cartridge-based nucleic acid amplification test, chest X-ray, and sputum microscopy to confirm the diagnosis, and the findings were recorded as proportion. Results: Out of 1363 inpatients, 35 (2.5%) patients had classified as presumptive TB case. Out of 35, 3 (8.57%) were found to be actual TB cases. All patients who had positive results for TB were young patients and belonged to low socioeconomic class. Two of three were rifampicin-sensitive TB cases. Conclusion: Timely screening of the patient’s is of utmost importance to avoid further spread of TB infection among inpatients. The higher prevalence of actual TB cases in younger adults needs further exploration.

7672 Ketosis-Prone Diabetes - A Case Series

Abstract Disclosure: T. Ismail: None. A. Farooq: None. G. Acharya: None. J. Snitzer: None. Introduction Ketosis-prone diabetes (KPD) is a syndrome that primarily affects African Americans. It is characterized by ketoacidosis, which is like Type 1 Diabetes Mellitus (T1DM). KPD is unique because it lacks identifiable autoimmunity and has a relative insulin deficiency, resembling Type 2 Diabetes Mellitus (T2DM). Therefore, KPD is informally classified as Type 1.5 Diabetes Mellitus. However, the clinical course and outcomes of KPD are like those of T2DM, and managing blood sugar levels is possible through non-insulin antidiabetic medications and dietary interventions. Case Series: Our study involved six patients who were all of African-American ethnicity. There were an equal number of male and female patients, with ages ranging from 21 to 61 years. One patient had a BMI of 27.2, which is considered overweight, while the rest had a BMI in the obese category ory(BMI&amp;gt;30). Two out of six patients had a pre-existing diagnosis of type 2 diabetes mellitus (T2DM) before the initial diabetic ketoacidosis (DKA) event. One patient had prediabetes. All patients required hospitalization for ketoacidosis and hyperglycemia and were found to have a glycated hemoglobin (HbA1c) level of more than 10% during these DKA events. All patients received intravenous hydration and insulin drip treatment and were discharged with a combination of long and rapid-acting insulin regimens. Following the resolution of the first episode of diabetic ketoacidosis (DKA), all six patients experienced a decrease in their insulin requirements for optimal glycemic control. Currently, four patients have discontinued insulin entirely. Moreover, all six patients tested negative for the presence of GAD-65, insulin, and islet antigen-2 antibodies. Among the patients, only one had a previously established autoimmune disease, i.e., inflammatory bowel disease. None of the patients experienced a repeat episode of diabetic ketoacidosis. Conclusion: It is important to note that not all patients who present with Diabetic ketoacidosis have Type 1 Diabetes Mellitus (T1DM). Hence, checking auto-antibodies for T1DM before making a final diagnosis is crucial. C-peptide levels may not accurately reflect the degree of relative permanent insulin deficiency in this population if measured during or immediately after an episode of diabetic ketoacidosis due to glucose toxicity and other factors. Given its prevalence in obese individuals, weight loss through dietary modifications and GLP-1 receptor analogs may be beneficial. Presentation: 6/3/2024

Risk of Dementia Diagnosis After Injurious Falls in Older Adults

Emerging evidence suggests that mild cognitive impairment, which is a precursor to Alzheimer disease and related dementias (ADRD), places older adults at increased risk for falls. However, the risk that an older adult develops dementia after experiencing a fall is unknown. To determine the risk of new ADRD diagnosis after a fall in older adults. This retrospective cohort study examined Medicare Fee-for-Service data from 2014 to 2015, with follow-up data available for at least 1 year after the index encounter. Participants included adults aged 66 years and older who experienced a traumatic injury that resulted in an emergency department (ED) or inpatient encounter and did not have a preexisting diagnosis of dementia. Data analysis was performed from August 2023 to July 2024. Experiencing a fall compared with other mechanisms of injury, defined by International Classification of Diseases, Ninth Revision (ICD-9) and ICD-10 external cause of injury codes. The hazard of new ADRD diagnosis within 1 year of a fall, assessed by performing a Cox multivariable competing risk model that controlled for potential confounders while accounting for the competing risk of death. The study included 2 453 655 older adult patients who experienced a traumatic injury; 1 522 656 (62.1%) were female; 124 396 (5.1%) were Black and 2 232 102 (91.0%) were White; and the mean (SD) age was 78.1 (8.1) years. The mechanism of injury was a fall in 1 228 847 incidents (50.1%). ADRD was more frequently diagnosed within 1 year of a fall compared with other injury mechanisms (10.6% [129 910 of 1 228 847] vs 6.1% [74 799 of 1 224 808]; P < .001). The unadjusted hazard ratio (HR) of incident dementia diagnosis after a fall was 1.63 (95% CI, 1.61-1.64; P < .001). On multivariable Cox competing risk analysis, falling was independently associated with an increased risk of dementia diagnosis among older adults (HR, 1.21 [95% CI, 1.20-1.21]; P < .001) after controlling for patient demographics, medical comorbidities, and injury characteristics, while accounting for the competing risk of death. Among the subset of older adults without a recent skilled nursing facility admission, the HR was 1.27 (95% CI, 1.26-1.28; P < .001). In this cohort study, new ADRD diagnoses were more common after falls compared with other mechanisms of injury, with 10.6% of older adults being diagnosed with ADRD in the first year after a fall. To improve the early identification of ADRD, this study's findings suggest support for the implementation of cognitive screening in older adults who experience an injurious fall that results in an ED visit or hospital admission.