"Please Don't Forget Us": A Descriptive Qualitative Study of Caregivers of Older Adults With Alzheimer's Disease and Related Dementias During the COVID-19 Pandemic.

The current descriptive qualitative study explored the perceived impact of the coronavirus disease 2019 pandemic on sleep disturbances and nighttime agitation; the reported use of antipsychotics and other sedating medications; and the overall well-being of older adults with Alzheimer's disease and related dementias (ADRD) and their caregivers. One investigator conducted in-depth, phone interviews with caregivers of nursing home residents with ADRD (four family caregivers [FCs], three nurse practitioners [NPs]) and seven FCs of older adults with ADRD who lived with them at home. Caregivers described multiple sleep disturbances. Nighttime agitation symptoms were perceived to continue or worsen, and sedating medications and nonpharmacological interventions were required. Adverse impacts on reported well-being were significant, and impacts were grouped into emotional, social, and physical themes. Caregivers said, "Please don't forget us," and requested telehealth support for those at home and technology and human resources for nursing homes to reduce adverse impacts. [Research in Gerontological Nursing, 15(5), 217-228.].

Religion, Spirituality, and Coping During the Pandemic: Perspectives of Dementia Caregivers.

Religious and spiritual (R/S) practices support individuals during difficult situations. The COVID-19 social distancing restrictions may have limited access to R/S practices for older adults with Alzheimer's disease related dementia (ADRD) and their caregivers, affecting coping and well-being. This qualitative study explored the impact of social distancing on R/S practices and coping in ADRD-caregiver dyads from the perspective of caregivers. Interviews were conducted with 11 family caregivers of older adults with ADRD residing in nursing homes (n = 4) or private homes (n = 7). Caregivers continued individual and started virtual R/S practices which improved their ability to cope. However, organized R/S practices were unavailable for those with ADRD, but they used prayer and read religious texts which noticeably improved their mood. Healthcare professionals' sharing of individual and community R/S resources available for ADRD-caregiver dyads could decrease anxiety and agitation, while improving their ability to cope with increased isolation.

Harnessing the Electronic Medical Record to Improve the Utilization of Ultrasound Screening for Abdominal Aortic Aneurysms.

PURPOSE: The US Preventive Services Task Force recommends one-time ultrasound screening to detect abdominal aortic aneurysms (AAAs) in male smokers. Despite this recommendation, AAA screening is still underutilized. The aim of this study was to determine the effectiveness of an electronic medical record (EMR) automated ordering program in increasing AAA screening at an integrated health care system. METHODS: This study was a retrospective chart review of patients who underwent ultrasound screening for AAA from January 1, 2016, to December 31, 2021, at a geographically isolated integrated health care system. An automated ordering system was implemented in a stepwise fashion within our EMR beginning in March 2019. The number of ultrasound studies and the incidence of AAA were compared between manual referral and EMR automated ordering periods. RESULTS: A total of 4,176 patients met the inclusion criteria for this study, among whom 148 aneurysms were identified. There was an increase in the average number of monthly screening ultrasound studies performed during the automated ordering period compared with the manual referral period (105 vs 16.3 studies, P < .001). The incidence of AAA was lower in the automated ordering period compared with the manual referral period (3.2% vs 5.3%, P = .013). CONCLUSIONS: An EMR automated ordering program can increase the number of screening ultrasound studies performed for AAA, which may help clinicians identify more high-risk aneurysms requiring urgent repair.

Seasonal COVID-19 surge related hospital volumes and case fatality rates.

BACKGROUND: Seasonal and regional surges in COVID-19 have imposed substantial strain on healthcare systems. Whereas sharp inclines in hospital volume were accompanied by overt increases in case fatality rates during the very early phases of the pandemic, the relative impact during later phases of the pandemic are less clear. We sought to characterize how the 2020 winter surge in COVID-19 volumes impacted case fatality in an adequately-resourced health system. METHODS: We performed a retrospective cohort study of all adult diagnosed with COVID-19 in a large academic healthcare system between August 25, 2020 to May 8, 2021, using multivariable logistic regression to examine case fatality rates across 3 sequential time periods around the 2020 winter surge: pre-surge, surge, and post-surge. Subgroup analyses of patients admitted to the hospital and those receiving ICU-level care were also performed. Additionally, we used multivariable logistic regression to examine risk factors for mortality during the surge period. RESULTS: We studied 7388 patients (aged 52.8 ± 19.6 years, 48% male) who received outpatient or inpatient care for COVID-19 during the study period. Patients treated during surge (N = 6372) compared to the pre-surge (N = 536) period had 2.64 greater odds (95% CI 1.46-5.27) of mortality after adjusting for sociodemographic and clinical factors. Adjusted mortality risk returned to pre-surge levels during the post-surge period. Notably, first-encounter patient-level measures of illness severity appeared higher during surge compared to non-surge periods. CONCLUSIONS: We observed excess mortality risk during a recent winter COVID-19 surge that was not explained by conventional risk factors or easily measurable variables, although recovered rapidly in the setting of targeted facility resources. These findings point to how complex interrelations of population- and patient-level pandemic factors can profoundly augment health system strain and drive dynamic, if short-lived, changes in outcomes.

Experience With Hydroxychloroquine and Azithromycin in the Coronavirus Disease 2019 Pandemic: Implications for QT Interval Monitoring.

Background Despite a lack of clinical evidence, hydroxychloroquine and azithromycin are being administered widely to patients with verified or suspected coronavirus disease 2019 (COVID-19). Both drugs may increase risk of lethal arrhythmias associated with QT interval prolongation. Methods and Results We analyzed a case series of COVID-19-positive/suspected patients admitted between February 1, 2020, and April 4, 2020, who were treated with azithromycin, hydroxychloroquine, or a combination of both drugs. We evaluated baseline and postmedication QT interval (corrected QT interval [QTc]; Bazett) using 12-lead ECGs. Critical QTc prolongation was defined as follows: (1) maximum QTc ≥500 ms (if QRS <120 ms) or QTc ≥550 ms (if QRS ≥120 ms) and (2) QTc increase of ≥60 ms. Tisdale score and Elixhauser comorbidity index were calculated. Of 490 COVID-19-positive/suspected patients, 314 (64%) received either/both drugs and 98 (73 COVID-19 positive and 25 suspected) met study criteria (age, 62±17 years; 61% men). Azithromycin was prescribed in 28%, hydroxychloroquine in 10%, and both in 62%. Baseline mean QTc was 448±29 ms and increased to 459±36 ms (P=0.005) with medications. Significant prolongation was observed only in men (18±43 ms versus -0.2±28 ms in women; P=0.02). A total of 12% of patients reached critical QTc prolongation. Changes in QTc were highest with the combination compared with either drug, with much greater prolongation with combination versus azithromycin (17±39 ms versus 0.5±40 ms; P=0.07). No patients manifested torsades de pointes. Conclusions Overall, 12% of patients manifested critical QTc prolongation, and the combination caused greater prolongation than either drug alone. The balance between uncertain benefit and potential risk when treating COVID-19 patients should be carefully assessed.

Temporal variations in the severity of COVID-19 illness by race and ethnicity.

INTRODUCTION: Early reports highlighted racial/ethnic disparities in the severity of COVID-19 seen across the USA; the extent to which these disparities have persisted over time remains unclear. Our research objective was to understand temporal trends in racial/ethnic variation in severity of COVID-19 illness presenting over time. METHODS: We conducted a retrospective cohort analysis using longitudinal data from Cedars-Sinai Medical Center, a high-volume health system in Southern California. We studied patients admitted to the hospital with COVID-19 illness from 4 March 2020 through 5 December 2020. Our primary outcome was COVID-19 severity of illness among hospitalised patients, assessed by racial/ethnic group status. We defined overall illness severity as an ordinal outcome: hospitalisation but no intensive care unit (ICU) admission; admission to the ICU but no intubation; and intubation or death. RESULTS: A total of 1584 patients with COVID-19 with available demographic and clinical data were included. Hispanic/Latinx compared with non-Hispanic white patients had higher odds of experiencing more severe illness among hospitalised patients (OR 2.28, 95% CI 1.62 to 3.22) and this disparity persisted over time. During the initial 2 months of the pandemic, non-Hispanic blacks were more likely to suffer severe illness than non-Hispanic whites (OR 2.02, 95% CI 1.07 to 3.78); this disparity improved by May, only to return later in the pandemic. CONCLUSION: In our patient sample, the severity of observed COVID-19 illness declined steadily over time, but these clinical improvements were not seen evenly across racial/ethnic groups; greater illness severity continues to be experienced among Hispanic/Latinx patients.

Identification of Functional Limitations and Discharge Destination in Patients With COVID-19.

OBJECTIVES: The objectives of this study were to identify functional limitations in patients with coronavirus 2019 (COVID-19) admitted to acute care hospitals; to evaluate functional limitations by demographic, medical, and encounter characteristics; and to examine functional limitations in relation to discharge destination. DESIGN: and Setting:This is a cross-sectional, retrospective study of adult patients with COVID-19 who were discharged from 2 different types of hospitals (academic medical center and a community hospital) within 1 health care system from January 1 to April 30, 2020. PARTICIPANTS: Patients were identified from the Cedars-Sinai COVID-19 data registry who had a new-onset positive test for severe acute respiratory syndrome coronavirus 2. A total of 273 patients were identified, which included 230 patients who were discharged alive and 43 patients who died and were excluded from the study sample. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Functional limitations in patients with COVID-19 in acute care hospitals and the predictors for discharge disposition. RESULTS: A total of 230 records were analyzed including demographic, encounter, medical, and functional variables. In a propensity score-matched cohort based on age and comorbidity, 88.2% had functional physical health deficits, 72.5% had functional mental health deficits, and 17.6% experienced sensory deficits. In the matched cohort, individuals discharged to an institution experienced greater physical (62.7% vs 25.5%, P<.001) and mental health (49.0% vs 23.5%, P=.006) deficits than patients discharged home. Marital status (odds ratio, 3.17; P=.011) and physical function deficits (odds ratio, 3.63; P=.025) were associated with an increase odds ratio of discharge to an institution. CONCLUSIONS: This research highlights that functional status is a strong predictor for discharge destination to an institution for patients with COVID-19. Patients who were older, in the acute care hospital longer, and with comorbidities were more likely to be discharged to an institution. Rehabilitation is a significant aspect of the health care system for these vulnerable patients. The challenges of adjusting the role of rehabilitation providers and systems during the pandemic needs further exploration. Moreover, additional research is needed to look more closely at the many facets and timing of functional status needs, to shed light in use of interdisciplinary rehabilitation services, and to guide providers and health care systems in facilitating optimal recovery and patient outcomes.

Pre-existing traits associated with Covid-19 illness severity.

IMPORTANCE: Certain individuals, when infected by SARS-CoV-2, tend to develop the more severe forms of Covid-19 illness for reasons that remain unclear. OBJECTIVE: To determine the demographic and clinical characteristics associated with increased severity of Covid-19 infection. DESIGN: Retrospective observational study. We curated data from the electronic health record, and used multivariable logistic regression to examine the association of pre-existing traits with a Covid-19 illness severity defined by level of required care: need for hospital admission, need for intensive care, and need for intubation. SETTING: A large, multihospital healthcare system in Southern California. PARTICIPANTS: All patients with confirmed Covid-19 infection (N = 442). RESULTS: Of all patients studied, 48% required hospitalization, 17% required intensive care, and 12% required intubation. In multivariable-adjusted analyses, patients requiring a higher levels of care were more likely to be older (OR 1.5 per 10 years, P<0.001), male (OR 2.0, P = 0.001), African American (OR 2.1, P = 0.011), obese (OR 2.0, P = 0.021), with diabetes mellitus (OR 1.8, P = 0.037), and with a higher comorbidity index (OR 1.8 per SD, P<0.001). Several clinical associations were more pronounced in younger compared to older patients (Pinteraction<0.05). Of all hospitalized patients, males required higher levels of care (OR 2.5, P = 0.003) irrespective of age, race, or morbidity profile. CONCLUSIONS AND RELEVANCE: In our healthcare system, greater Covid-19 illness severity is seen in patients who are older, male, African American, obese, with diabetes, and with greater overall comorbidity burden. Certain comorbidities paradoxically augment risk to a greater extent in younger patients. In hospitalized patients, male sex is the main determinant of needing more intensive care. Further investigation is needed to understand the mechanisms underlying these findings.