Citations

Abstract Background Heart failure (HF) has a high mortality risk in older adults. Individual symptoms as predictors of mortality in HF patients; however, symptoms often manifest in clusters, which may be more predictive of future risks than isolated symptoms. However, research on symptom clusters in older adults who have HF is limited. To explore the extent to which symptom cluster profiles predict all-cause mortality among older adults with HF, while adjusting for demographic and clinical factors. Methods A secondary study was conducted using the data from the Health and Retirement Study. We measured six symptoms (fatigue, shortness of breath, pain, swelling, depressive symptoms, and dizziness), and used latent class analysis to identify baseline symptom cluster profile. We performed survival analysis for time to death with Kaplan Meier survival analyses and Cox Proportional Hazard models. Results The sample included 684 participants (mean age = 74.9 (SD = 10.0) years) who demonstrated three symptom cluster profiles (high-burden, low-burden, and cardiopulmonary-depressive). The estimated median time-to-death was 71 (95% CI= [64, 79]) months. Participants in the high symptom burden and respiratory-depressive distress profiles had adjusted hazard ratios of 1.48 (95% CI = 1.15, 1.94) and 1.44 (95% CI = 1.14, 1.80) for time to death compared to those in the low burden profile. Conclusion Symptom profiles can assist in identifying older adults with HF who are at risk for earlier mortality. Further research is needed to determine whether alleviating these symptom clusters decreases the risk of mortality.

Abstract To address acute vaso-occlusive episodes (VOEs), the leading cause of emergency department (ED) visits among individuals with sickle cell disease (SCD), we conducted the clinical study, ALIGN (An Individualized Pain Plan with Patient and Provider Access for Emergency Department care of SCD), across 8 sites. We hypothesized an improvement of 0.5 standard deviations in perceived quality of ED pain treatment of a VOE after implementing individualized pain plans (IPPs) accessible to both patients and providers. Patients with SCD were aged 18 to 45 years, owned a cell phone, and had an ED VOE visit within 90 days prior. Patients completed the perceived quality of care surveys at baseline and within 96 hours after an ED VOE visit. Providers completed surveys regarding comfort managing VOEs at baseline and after managing an enrolled patient. Most of the 153 patients were African American (95.4%), female (64.7%), and had Hb SS/Sβ0 genotype (71.9%). The perceived quality of ED pain treatment was high at both baseline and after implementation of IPPs; our primary outcome hypothesis was not met, because no statistically significant change in the patient-perceived quality of ED treatment occurred. A total of 135 providers completed baseline and follow-up surveys. On a scale of 1 to 7, with 7 being extremely comfortable managing VOEs, 60.5% reported a score ≥6 after IPP implementation vs 57.8% at baseline. Almost all (97.6%) ordered the recommended medication, and 94.7% intended to use IPPs. In this implementation protocol, all sites successfully implemented IPPs. Patients and ED providers both endorsed the use of IPPs. This trial was registered at www.ClinicalTrials.gov as # NCT04584528.

Purpose of review Large language models (LLMs) are rapidly entering the landscape of medicine in areas from patient interaction to clinical decision-making. This review discusses the evolving role of LLMs in ophthalmology, focusing on their current applications and future potential in enhancing ophthalmic care. Recent findings LLMs in ophthalmology have demonstrated potential in improving patient communication and aiding preliminary diagnostics because of their ability to process complex language and generate human-like domain-specific interactions. However, some studies have shown potential for harm and there have been no prospective real-world studies evaluating the safety and efficacy of LLMs in practice. Summary While current applications are largely theoretical and require rigorous safety testing before implementation, LLMs exhibit promise in augmenting patient care quality and efficiency. Challenges such as data privacy and user acceptance must be overcome before LLMs can be fully integrated into clinical practice.

Abstract Background Use of anti-carbapenem-resistant Enterobacterales (anti-CRE) agents such as ceftazidime/avibactam has been associated with improved clinical outcome in cohorts that primarily include patients infected with CRE that are resistant to meropenem (MCRE). Objectives To clarify whether patients with CRE resistant to ertapenem but susceptible to meropenem (ertapenem-only-resistant Enterobacterales; EORE) benefit from therapy with anti-CRE agents. Methods Patients treated for CRE infection in hospitals in the USA between 2016 and 2019 and enrolled in the CRACKLE-2 study were included. The primary outcome was the desirability of outcome ranking (DOOR) assessed at 30 days after index cultures. Results The EORE group included 213 patients and the MCRE group included 643. The demographics were similar between the groups except for the patients’ race and origin before admission. The MCRE group received anti-CRE agents for definitive therapy significantly more frequently compared with the EORE group (30% versus 5% for ceftazidime/avibactam). We did not observe a significant difference between the groups in the adjusted DOOR probability of a more desirable outcome for a randomly selected patient in the EORE group compared with the MCRE group (52.5%; 95% CI, 48.3%–56.7%). The MCRE group had a similar proportion of patients who died at 30 days (26% versus 21%) and who were discharged to home (29% versus 40%), compared with the EORE group. Conclusions Patients with clinical EORE infection rarely received anti-CRE agents, but attained similar outcomes compared with patients with MCRE infection. The findings support current IDSA treatment guidance for meropenem- or imipenem-based therapy for treatment of EORE infections.

Prostate cancer lung metastasis represents a clinical conundrum due to its implications for advanced disease progression and the complexities it introduces in treatment planning. As the disease progresses to distant sites such as the lung, the clinical management becomes increasingly intricate, requiring tailored therapeutic strategies to address the unique characteristics of metastatic lesions. This review seeks to synthesize the current state of knowledge surrounding prostate cancer metastasis to the lung, shedding light on the diverse array of clinical presentations encountered, ranging from subtle radiological findings to overt symptomatic manifestations. By examining the diagnostic modalities utilized in identifying this metastasis, including advanced imaging techniques and histopathological analyses, this review aims to provide insights into the diagnostic landscape and the challenges associated with accurately characterizing lung metastatic lesions in prostate cancer patients. Moreover, this review delves into the nuances of therapeutic interventions employed in managing prostate cancer lung metastasis, encompassing systemic treatments such as hormonal therapies and chemotherapy, as well as metastasis-directed therapies including surgery and radiotherapy.

Background: In addition to the morbidity and mortality associated with acute infection, COVID-19 has been associated with persistent symptoms (>30 days), often referred to as Long COVID (LC). LC symptoms often cluster into phenotypes, resembling conditions such as fibromyalgia, postural orthostatic tachycardiac syndrome (POTS), and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). LC clinics have been established to best address the needs of LC patients and continuity of care. We developed a cross-sectional survey to assess treatment response through our LC Clinic (LCC). Methods: A 25-question survey (1-10 Likert scale) was expert- and content-validated by LCC clinicians, patients, and patient advocates. The survey assessed LC symptoms and the helpfulness of different interventions, including medications and supplements. A total of 852 LCC patients were asked to complete the survey, with 536 (62.9%) responding. Results: The mean time from associated COVID-19 infection to survey completion was 23.2 ± 6.4 months. The mean age of responders was 52.3 ± 14.1 (63% females). Self-reported symptoms were all significantly improved ( P < .001) from the initial visit to the LCC (baseline) to the time of the follow-up survey. However, only 4.5% (24/536) of patients rated all symptoms low (1-2) at the time of the survey, indicating low levels of full recovery in our cohort. The patients rated numerous interventions as being helpful, including low-dose naltrexone (45/77; 58%), vagal nerve stimulation (18/34; 53%), and fisetin (28/44; 64%). Conclusions: Patients report general improvements in symptoms following the initial LCC visit, but complete recovery rates remain low at 23.2 ± 6.4 months.