Racial Disparities in Cancer Stage at Diagnosis and Survival for Adolescents and Young Adults.

Importance: There are limited studies assessing stage at diagnosis and risk of death among all 5 federally defined races in the US among adolescent and young adult (AYA) patients with cancer. Objective: To identify racial disparities in stage at diagnosis and survival among AYA patients with cancer. Design, Setting, and Participants: This retrospective cohort study used data from a US national hospital-based oncology database on AYA patients, aged 15 to 39 years, with the 10 deadliest cancers among AYA patients who received a diagnosis from January 1, 2004, to December 31, 2017, with 6 months or more of follow-up. Analyses by race were categorized by the 5 federally defined races in the US: American Indian or Alaska Native, Asian, Black, Native Hawaiian or Other Pacific Islander, and non-Hispanic White (hereafter, White). White patients served as the majority reference group. Statistical analysis was performed from November 2022 to September 2023. Main Outcomes and Measures: The primary end points were late stage at diagnosis (logistic regression with adjusted odds ratios [AORs] and 95% CIs) and overall survival (log-rank tests and Cox proportional hazards regression with adjusted hazard ratios [AHRs] and 95% CIs). Results: A total of 291 899 AYA patients (median age, 33 years [IQR, 28-37 years]; 186 549 female patients [64%]; 189 812 [65%] with stage I or II cancers) were evaluated. The cohort included 1457 American Indian or Alaska Native patients (1%), 8412 Asian patients (3%), 40 851 Black patients (14%), 987 Native Hawaiian or Other Pacific Islander patients (0.3%), and 240 192 White patients (82%). Cancers included breast (n = 79 195 [27%]), lymphoma (n = 45 500 [16%]), melanoma (n = 36 724 [13%]), testis (n = 31 413 [11%]), central nervous system (n = 26 070 [9%]), colon or rectum (n = 22 545 [8%]), cervix (n = 20 923 [7%]), sarcoma (n = 14 951 [5%]), ovary (n = 8982 [3%]), and lung (n = 5596 [2%]). Risk of late-stage diagnosis was higher for Asian (AOR, 1.20; 95% CI, 1.14-1.26), Black (AOR, 1.40; 95% CI, 1.36-1.43), and Native Hawaiian or Other Pacific Islander (AOR, 1.34; 95% CI, 1.16-1.55) patients compared with White patients. Overall survival differed by race for all cancer sites, except cancers of the central nervous system and ovary. Risk of death was higher for American Indian or Alaska Native (AHR, 1.15; 95% CI, 1.02-1.30), Black (AHR, 1.22; 95% CI, 1.19-1.26), and Native Hawaiian or Other Pacific Islander (AHR, 1.25; 95% CI, 1.09-1.44) patients but lower for Asian patients (AHR, 0.90; 95% CI, 0.85-0.95) compared with White patients. Conclusions and Relevance: This cohort study of AYA patients suggests that stage at diagnosis and survival varied across races for the 10 deadliest AYA cancers. These results support the need for tailored interventions and informed public policy to achieve cancer care equity for all races.

Discharge Disposition and Loss of Independence Among Survivors of COVID-19 Admitted to Intensive Care: Results From the SCCM Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS).

OBJECTIVES: To describe incidence and risk factors of loss of previous independent living through nonhome discharge or discharge home with health assistance in survivors of intensive care unit (ICU) admission for coronavirus disease 2019 (COVID-19). DESIGN: Multicenter observational study including patients admitted to the ICU from January 2020 till June 30, 2021. HYPOTHESIS: We hypothesized that there is a high risk of nonhome discharge in patients surviving ICU admission due to COVID-19. SETTING: Data were included from 306 hospitals in 28 countries participating in the SCCM Discovery Viral Infection and Respiratory Illness Universal Study COVID-19 registry. PATIENTS: Previously independently living adult ICU survivors of COVID-19. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The primary outcome was nonhome discharge. Secondary outcome was the requirement of health assistance among patients who were discharged home. Out of 10 820 patients, 7101 (66%) were discharged alive; 3791 (53%) of these survivors lost their previous independent living status, out of those 2071 (29%) through nonhome discharge, and 1720 (24%) through discharge home requiring health assistance. In adjusted analyses, loss of independence on discharge among survivors was predicted by patient age ≥ 65 years (adjusted odds ratio [aOR] 2.78, 95% confidence interval [CI] 2.47-3.14, P < .0001), former and current smoking status (aOR 1.25, 95% CI 1.08-1.46, P = .003 and 1.60 (95% CI 1.18-2.16), P = .003, respectively), substance use disorder (aOR 1.52, 95% CI 1.12-2.06, P = .007), requirement for mechanical ventilation (aOR 4.17, 95% CI 3.69-4.71, P < .0001), prone positioning (aOR 1.19, 95% CI 1.03-1.38, P = .02), and requirement for extracorporeal membrane oxygenation (aOR 2.28, 95% CI 1.55-3.34, P < .0001). CONCLUSIONS: More than half of ICU survivors hospitalized for COVID-19 are unable to return to independent living status, thereby imposing a significant secondary strain on health care systems worldwide.

Cutaneous Adverse Reactions Following Influenza Vaccination in Adults.

OBJECTIVE: To review the literature on cutaneous reactions to the influenza vaccine in adults. DATA SOURCES: Authors systematically searched three databases: PubMed, MEDLINE, and EMBASE. STUDY SELECTION: Case reports published between January 1, 1995 and December 31, 2020 that described a cutaneous reaction to any brand of the influenza vaccine in adults were included. Exclusion criteria included having the wrong study design, pediatric cases, publication prior to 1995, and lack of cutaneous reaction to the vaccine. DATA EXTRACTION: A total of 232 articles were identified. After duplicate removal, title and abstract screening, and full-text screening, 29 studies were included in the final review. Data extracted included patient sex, age, type of influenza vaccine received, time from vaccine administration to cutaneous reaction, duration of cutaneous reaction, description of cutaneous reactions, treatments used, and the outcome (eg, resolution, reoccurrence, complications). DATA SYNTHESIS: The mean age of participants was 43.7 years (range, 19-82 years), and 60% were women (n = 18). The most frequent cutaneous reaction that occurred following influenza vaccination included erythematous macules/papules/plaques (n = 17 [56.7%]), vasculitic and purpuric rashes (n = 5 [16.7%]), and maculopapular (morbilliform) rashes (n = 3 [10.0%]). All patients received treatment, and 96.7% (n = 29) of the cutaneous manifestations were resolved. Most studies did not report any further complications upon follow-up. CONCLUSIONS: Understanding and identifying the relationship between the influenza vaccine and possible cutaneous manifestations can help providers predict and anticipate these adverse effects.

Iatrogenic Demodex folliculitis: A case report.

Demodex folliculorum is a commensal mite that inhabits the orifices of cutaneous pilosebaceous follicles. Overgrowth of these organisms can lead to Demodex folliculitis, which typically presents as papules and pustules predominantly involving the temples, cheeks, and occasionally the chest. We present a 51-year-old woman with iatrogenic Demodex folliculitis secondary to immunosuppressive treatment for an autoimmune connective tissue disease. Histopathological exam of a skin biopsy, which revealed follicular Demodex mites, confirmed the diagnosis. The eruption was treated with oral ivermectin and topical metronidazole gel, and the patient's immunosuppressive regimen was decreased, resulting in marked improvement in the eruption within 6 weeks and no worsening of her underlying autoimmune disorder. This case emphasizes the importance of considering Demodex folliculitis in the differential diagnosis of a new onset rash in the context of immunosuppressive treatment.

Development and Validation of an Acute Respiratory Distress Syndrome Prediction Model in Coronavirus Disease 2019: Updated Lung Injury Prediction Score.

OBJECTIVE: To develop and validate an updated lung injury prediction score for coronavirus disease 2019 (COVID-19) (c-LIPS) tailored for predicting acute respiratory distress syndrome (ARDS) in COVID-19. PATIENTS AND METHODS: This was a registry-based cohort study using the Viral Infection and Respiratory Illness Universal Study. Hospitalized adult patients between January 2020 and January 2022 were screened. Patients who qualified for ARDS within the first day of admission were excluded. Development cohort consisted of patients enrolled from participating Mayo Clinic sites. The validation analyses were performed on remaining patients enrolled from more than 120 hospitals in 15 countries. The original lung injury prediction score (LIPS) was calculated and enhanced using reported COVID-19-specific laboratory risk factors, constituting c-LIPS. The main outcome was ARDS development and secondary outcomes included hospital mortality, invasive mechanical ventilation, and progression in WHO ordinal scale. RESULTS: The derivation cohort consisted of 3710 patients, of whom 1041 (28.1%) developed ARDS. The c-LIPS discriminated COVID-19 patients who developed ARDS with an area under the curve (AUC) of 0.79 compared with original LIPS (AUC, 0.74; P<.001) with good calibration accuracy (Hosmer-Lemeshow P=.50). Despite different characteristics of the two cohorts, the c-LIPS's performance was comparable in the validation cohort of 5426 patients (15.9% ARDS), with an AUC of 0.74; and its discriminatory performance was significantly higher than the LIPS (AUC, 0.68; P<.001). The c-LIPS's performance in predicting the requirement for invasive mechanical ventilation in derivation and validation cohorts had an AUC of 0.74 and 0.72, respectively. CONCLUSION: In this large patient sample c-LIPS was successfully tailored to predict ARDS in COVID-19 patients.

Survey and Evaluation of Hypertension Machine Learning Research.

Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to complex decision-making. However, applications in different specialities are variable and generally limited. Like other conditions, the number of studies employing ML in hypertension research is growing rapidly. In this study, we aimed to survey hypertension research using ML, evaluate the reporting quality, and identify barriers to ML's potential to transform hypertension care. Methods and Results The Harmonious Understanding of Machine Learning Analytics Network survey questionnaire was applied to 63 hypertension-related ML research articles published between January 2019 and September 2021. The most common research topics were blood pressure prediction (38%), hypertension (22%), cardiovascular outcomes (6%), blood pressure variability (5%), treatment response (5%), and real-time blood pressure estimation (5%). The reporting quality of the articles was variable. Only 46% of articles described the study population or derivation cohort. Most articles (81%) reported at least 1 performance measure, but only 40% presented any measures of calibration. Compliance with ethics, patient privacy, and data security regulations were mentioned in 30 (48%) of the articles. Only 14% used geographically or temporally distinct validation data sets. Algorithmic bias was not addressed in any of the articles, with only 6 of them acknowledging risk of bias. Conclusions Recent ML research on hypertension is limited to exploratory research and has significant shortcomings in reporting quality, model validation, and algorithmic bias. Our analysis identifies areas for improvement that will help pave the way for the realization of the potential of ML in hypertension and facilitate its adoption.

Coronavirus Disease 2019 in Pediatric Oncology Patients: A Matched-Cohort Analysis of the SCCM Discovery Viral Infection and Respiratory Illness Universal Study COVID-19 Registry.

BACKGROUND: There is a paucity of multicenter data describing the impact of coronavirus disease 2019 (COVID-19) on hospitalized pediatric oncology patients. Using a large, multicenter, Society of Critical Care Medicine (SCCM) Discovery Viral Infection and Respiratory Illness University Study (VIRUS) database, we aimed at assessing outcomes of COVID-19 infection in this population. METHOD: This is a matched-cohort study involving children below 18 years of age hospitalized with COVID-19 between March 2020 and January 2021. Using the VIRUS; COVID-19 Registry database, children with oncologic diseases were compared with propensity score matched (age groups, sex, race, and ethnicity) cohort of children without oncologic diseases for the prevalence of Multisystem Inflammatory Syndrome in Children (MIS-C), intensive care unit (ICU) admission, interventions, hospital, and ICU length of stay. RESULTS: The number of children in the case and control groups was 45 and 180, respectively. ICU admission rate was similar in both groups ([47.7 vs 51.7%], P =0.63). The proportion of children requiring noninvasive and invasive mechanical ventilation, and its duration were similar between groups, same as hospital mortality. Interestingly, MIS-C was significantly lower in the oncology group compared with the control (2.4 vs 24.6%; P =0.0002). CONCLUSIONS: In this study using a multicenter VIRUS database, ICU admission rate, interventions, and outcomes of COVID-19 were similar in children with the oncologic disease compared with control patients. The incidence of MIS-C is lower in oncologic patients.

Variations in Administrative Approvals During the COVID-19 Pandemic at Participating Sites in the Society of Critical Care Medicine Discovery Network Viral Infection and Respiratory Illness Universal Study: COVID-19 Registry: A Cross-Sectional Study.

There is a paucity of literature regarding administrative approvals required for clinical studies during a pandemic. We aimed to evaluate variation in duration of administrative approvals within the Viral Infection and Respiratory illness Universal Study (VIRUS): A Global COVID-19 Registry. DESIGN SETTING AND SUBJECTS: Survey analysis of 188 investigators who participated in the VIRUS: COVID-19 registry, a prospective, observational global registry database of 287 sites. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: For each study site approved through December 8, 2020, we assessed the duration in days: 1) from institutional review board (IRB) submission to IRB approval, 2) from IRB approval to Research Electronic Data Capture (REDCap) access, 3) from REDCap access to first patient data entry in REDCap, and 4) total duration from IRB submission to first patient data entry in REDCap. Analysis of variance and Wilcoxon rank-sum test were used to compare time durations. Of 287 sites, 188 sites (United States = 155, non-United States = 33) provided complete administrative data. There was considerable variability in duration from IRB submission to first patient data entry with median (interquartile range) of 28 days (16-50 d), with differences not significantly different by country (United States: 30 [17-50] vs non-United States: 23 d [8-46 d]; p = 0.08) or previous "multisite trial experience" (experienced: 27 [15-51] vs not experienced: 29 d [13-47 d]; p = 0.67). The U.S. sites had a higher proportion of female principal investigators (n = 77; 50%), compared with non-U.S. sites (n = 7; 21%; p = 0.002). Non-U.S. sites had a significantly shorter time to first patient data entry after REDCap access: 7 (1-28) versus 3 days (1-6 d) (p = 0.02). CONCLUSIONS: In this Society of Critical Care Medicine global VIRUS: COVID-19 Registry, we identified considerable variability in time from IRB submission to first patient data entry with no significant differences by country or prior multicenter trial experience. However, there was a significant difference between US and non-U.S. sites in the time from REDCap access to first data entry.

Critical care practices in the world: Results of the global intensive care unit need assessment survey 2020.

BACKGROUND: There is variability in intensive care unit (ICU) resources and staffing worldwide. This may reflect variation in practice and outcomes across all health systems. AIM: To improve research and quality improvement measures administrative leaders can create long-term strategies by understanding the nature of ICU practices on a global scale. METHODS: The Global ICU Needs Assessment Research Group was formed on the basis of diversified skill sets. We aimed to survey sites regarding ICU type, availability of staffing, and adherence to critical care protocols. An international survey 'Global ICU Needs Assessment' was created using Google Forms, and this was distributed from February 17th, 2020 till September 23rd, 2020. The survey was shared with ICU providers in 34 countries. Various approaches to motivating healthcare providers were implemented in securing submissions, including use of emails, phone calls, social media applications, and WhatsApp™. By completing this survey, providers gave their consent for research purposes. This study was deemed eligible for category-2 Institutional Review Board exempt status. RESULTS: There were a total 121 adult/adult-pediatrics ICU responses from 34 countries in 76 cities. A majority of the ICUs were mixed medical-surgical [92 (76%)]. 108 (89%) were adult-only ICUs. Total 36 respondents (29.8%) were 31-40 years of age, with 79 (65%) male and 41 (35%) female participants. 89 were consultants (74%). A total of 71 (59%) respondents reported having a 24-h in-house intensivist. A total of 87 (72%) ICUs were reported to have either a 2:1 or ≥ 2:1 patient/nurse ratio. About 44% of the ICUs were open and 76% were mixed type (medical-surgical). Protocols followed regularly by the ICUs included sepsis care (82%), ventilator-associated pneumonia (79%); nutrition (76%), deep vein thrombosis prophylaxis (84%), stress ulcer prophylaxis (84%), and glycemic control (89%). CONCLUSION: Based on the findings of this international, multi-dimensional, needs-assessment survey, there is a need for increased recruitment and staffing in critical care facilities, along with improved patient-to-nurse ratios. Future research is warranted in this field with focus on implementing appropriate health standards, protocols and resources for optimal efficiency in critical care worldwide.

Association of Early Steroid Administration With Outcomes of Children Hospitalized for COVID-19 Without Multisystem Inflammatory Syndrome in Children.

Importance: There is limited evidence for therapeutic options for pediatric COVID-19 outside of multisystem inflammatory syndrome in children (MIS-C). Objective: To determine whether the use of steroids within 2 days of admission for non-MIS-C COVID-19 in children is associated with hospital length of stay (LOS). The secondary objective was to determine their association with intensive care unit (ICU) LOS, inflammation, and fever defervescence. Design, Setting, and Participants: This cohort study analyzed data retrospectively for children (<18 years) who required hospitalization for non-MIS-C COVID-19. Data from March 2020 through September 2021 were provided by 58 hospitals in 7 countries who participate in the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) COVID-19 registry. Exposure: Administration of steroids within 2 days of admission. Main Outcomes and Measures: Length of stay in the hospital and ICU. Adjustment for confounders was done by mixed linear regression and propensity score matching. Results: A total of 1163 patients met inclusion criteria and had a median (IQR) age of 7 years (0.9-14.3). Almost half of all patients (601/1163, 51.7%) were male, 33.8% (392/1163) were non-Hispanic White, and 27.9% (324/1163) were Hispanic. Of the study population, 184 patients (15.8%) received steroids within 2 days of admission, and 979 (84.2%) did not receive steroids within the first 2 days. Among 1163 patients, 658 (56.5%) required respiratory support during hospitalization. Overall, patients in the steroids group were older and had greater severity of illness, and a larger proportion required respiratory and vasoactive support. On multivariable linear regression, after controlling for treatment with remdesivir within 2 days, country, race and ethnicity, obesity and comorbidity, number of abnormal inflammatory mediators, age, bacterial or viral coinfection, and disease severity according to ICU admission within first 2 days or World Health Organization ordinal scale of 4 or higher on admission, with a random intercept for the site, early steroid treatment was not significantly associated with hospital LOS (exponentiated coefficient, 0.94; 95% CI, 0.81-1.09; P = .42). Separate analyses for patients with an LOS of 2 days or longer (n = 729), those receiving respiratory support at admission (n = 286), and propensity score-matched patients also showed no significant association between steroids and LOS. Early steroid treatment was not associated with ICU LOS, fever defervescence by day 3, or normalization of inflammatory mediators. Conclusions and Relevance: Steroid treatment within 2 days of hospital admission in a heterogeneous cohort of pediatric patients hospitalized for COVID-19 without MIS-C did not have a statistically significant association with hospital LOS.

Autopsy of a telephone-based peer support intervention: Exploring participants' perspectives of and experiences with a self-management support model for adults with type 2 diabetes from speciality care settings.

AIMS: To explore participants' experiences with and perspective of a telephone-based, peer-led diabetes self-management intervention targeting adults with type 2 diabetes (T2D) from speciality care settings. We also sought to identify areas for improvement for future iterations of the intervention. METHODS: This study recruited 25 adults with T2D from the intervention arm of a randomized controlled trial of a peer support intervention for diabetes. Individuals took part in semi-structured interviews that explored the following topics: perceived impact of the intervention, relationship with peer leader, desirable characteristics in a peer leader, and suggestions for improving the intervention. Focus groups were recorded, transcribed, quality checked, coded, and analysed to develop themes and subthemes. RESULTS: Four core themes emerged: (1) importance of the 'participant-peer leader' match, (2) peer leader roles and responsibilities, (3) need for flexible support models, and (4) factors affecting intervention implementation and engagement. The quality of the participant-peer leader relationship appeared to be linked to intervention satisfaction. Beyond demographic features such as age and sex, key characteristics for forming a strong match included stage of life, lifestyle, diabetes-related factors, and communication style. CONCLUSIONS: Participants have unique ideas about what support should look like and preferences for how support is best delivered. Future models of peer support need to be customizable to individuals' needs and responsive to changes in life circumstances. If participants are the decision makers in the matching process, they may experience greater satisfaction and derive maximal benefits.

Pre-hospital Aspirin Use and Patient Outcomes in COVID-19: Results from the International Viral Infection and Respiratory Illness Universal Study (VIRUS).

INTRODUCTION: The goal of this investigation is to assess the association between prehospital use of aspirin (ASA) and patient-centered outcomes in a large global cohort of hospitalized COVID-19 patients. METHODS: This study utilizes data from the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) Registry. Adult patients hospitalized from February 15th, 2020, to September 30th, 2021, were included. Multivariable regression analyses were utilized to assess the association between pre-hospital use of ASA and the primary outcome of overall hospital mortality. RESULTS: 21,579 patients were included from 185 hospitals (predominantly US-based, 71.3%), with 4691 (21.7%) receiving pre-hospital ASA. Patients receiving ASA, compared to those without pre-admission ASA use, were generally older (median 70 vs. 59 years), more likely to be male (58.7 vs. 56.0%), caucasian (57.4 vs. 51.6%), and more commonly had higher rates of medical comorbidities. In multivariable analyses, patients receiving pre-hospital ASA had lower mortality (HR: 0.89, 95% CI 0.82-0.97, p=0.01) and reduced hazard for progression to severe disease or death (HR: 0.91, 95% CI 0.84-0.99, p=0.02) and more hospital free days (1.00 days, 95% CI 0.66-1.35, p=0.01) compared to those without pre-hospital ASA use. The overall direction and significance of the results remained the same in sensitivity analysis, after adjusting the multivariable model for time since pandemic. CONCLUSIONS: In this large international cohort, pre-hospital use of ASA was associated with a lower hazard for death in hospitalized patients with COVID-19. Randomized controlled trials may be warranted to assess the utility of pre-hospital use of ASA.

How do frontline healthcare workers learn from COVID-19 webinars during a pandemic? An online survey study.

OBJECTIVES: The COVID-19 pandemic severely restricted in-person learning. As a result, many educational institutions switched to online platforms to continue teaching. COVID-19 webinars have been useful for rapidly disseminating information to frontline healthcare workers. While conducting COVID-19 webinars through online platforms is a popular method to train medical professionals, their effectiveness has never been investigated. Our aim was to ascertain the usefulness of COVID-19 webinars during the pandemic. METHODS: We conducted an online survey of about 400 frontline healthcare workers. 112 people responded to the survey (response rate = 28%). In it, we asked several questions to determine whether webinars had been a useful resource to help deal with COVID-19 patients. RESULTS: We found that a majority of healthcare worker respondents had favorable opinions of online education during the pandemic as around 78% of respondents either agreed or highly agreed that webinars are a useful source of knowledge. A significant proportion (34%) did not participate in webinars and gave time constraints as their main reason for not participating. CONCLUSION: Our results indicated that while online education is a great way to disseminate information quickly to a large amount of people, it also comes with its disadvantages. As we transition into a post-pandemic world, we need to make sure that online teaching is designed with the best interests of the healthcare workers in mind to ensure that we get the most out of it.

'We just don't have this in us ': Understanding factors behind low levels of physical activity in South Asian immigrants in Metro-Vancouver, Canada.

BACKGROUND: South Asian immigrants in western countries are at a high risk for metabolic syndrome and associated chronic disease. While a physically active lifestyle is crucial in decreasing this risk, physical activity (PA) levels among this group remain low. The objectives of this study were to explore social and cultural factors that influence PA behavior, investigate how immigration process intersects with PA behaviors to influence PA levels and to engage community in a discussion about what can be done to increase PA in the South Asian community. METHODS: For this qualitative study, we conducted four Focus Group Discussions (FGDs) among a subset of participants who were part of a larger study. FGD data was coded and analysed using directed content analysis to identify key categories. RESULTS: Participants expressed a range of opinions, attitudes and beliefs about PA. Most believed they were sufficiently active. Women talked about restrictive social and cultural norms that discouraged uptake of exercise. Post-immigration levels of PA were low due to change in type of work and added responsibilities. CONCLUSION: Health promoters need to consider social, cultural, and structural contexts when exploring possible behavior change interventions for South Asian immigrants.

Neurologic Manifestations of Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Hospitalized Patients During the First Year of the COVID-19 Pandemic.

To describe the prevalence, associated risk factors, and outcomes of serious neurologic manifestations (encephalopathy, stroke, seizure, and meningitis/encephalitis) among patients hospitalized with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. DESIGN: Prospective observational study. SETTING: One hundred seventy-nine hospitals in 24 countries within the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study COVID-19 Registry. PATIENTS: Hospitalized adults with laboratory-confirmed SARS-CoV-2 infection. INTERVENTIONS: None. RESULTS: Of 16,225 patients enrolled in the registry with hospital discharge status available, 2,092 (12.9%) developed serious neurologic manifestations including 1,656 (10.2%) with encephalopathy at admission, 331 (2.0%) with stroke, 243 (1.5%) with seizure, and 73 (0.5%) with meningitis/encephalitis at admission or during hospitalization. Patients with serious neurologic manifestations of COVID-19 were older with median (interquartile range) age 72 years (61.0-81.0 yr) versus 61 years (48.0-72.0 yr) and had higher prevalence of chronic medical conditions, including vascular risk factors. Adjusting for age, sex, and time since the onset of the pandemic, serious neurologic manifestations were associated with more severe disease (odds ratio [OR], 1.49; p < 0.001) as defined by the World Health Organization ordinal disease severity scale for COVID-19 infection. Patients with neurologic manifestations were more likely to be admitted to the ICU (OR, 1.45; p < 0.001) and require critical care interventions (extracorporeal membrane oxygenation: OR, 1.78; p = 0.009 and renal replacement therapy: OR, 1.99; p < 0.001). Hospital, ICU, and 28-day mortality for patients with neurologic manifestations was higher (OR, 1.51, 1.37, and 1.58; p < 0.001), and patients had fewer ICU-free, hospital-free, and ventilator-free days (estimated difference in days, -0.84, -1.34, and -0.84; p < 0.001). CONCLUSIONS: Encephalopathy at admission is common in hospitalized patients with SARS-CoV-2 infection and is associated with worse outcomes. While serious neurologic manifestations including stroke, seizure, and meningitis/encephalitis were less common, all were associated with increased ICU support utilization, more severe disease, and worse outcomes.

Association of latitude and altitude with adverse outcomes in patients with COVID-19: The VIRUS registry.

BACKGROUND: The coronavirus disease 2019 (COVID-19) course may be affected by environmental factors. Ecological studies previously suggested a link between climatological factors and COVID-19 fatality rates. However, individual-level impact of these factors has not been thoroughly evaluated yet. AIM: To study the association of climatological factors related to patient location with unfavorable outcomes in patients. METHODS: In this observational analysis of the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study: COVID-19 Registry cohort, the latitudes and altitudes of hospitals were examined as a covariate for mortality within 28 d of admission and the length of hospital stay. Adjusting for baseline parameters and admission date, multivariable regression modeling was utilized. Generalized estimating equations were used to fit the models. RESULTS: Twenty-two thousand one hundred eight patients from over 20 countries were evaluated. The median age was 62 (interquartile range: 49-74) years, and 54% of the included patients were males. The median age increased with increasing latitude as well as the frequency of comorbidities. Contrarily, the percentage of comorbidities was lower in elevated altitudes. Mortality within 28 d of hospital admission was found to be 25%. The median hospital-free days among all included patients was 20 d. Despite the significant linear relationship between mortality and hospital-free days (adjusted odds ratio (aOR) = 1.39 (1.04, 1.86), P = 0.025 for mortality within 28 d of admission; aOR = -1.47 (-2.60, -0.33), P = 0.011 for hospital-free days), suggesting that adverse patient outcomes were more common in locations further away from the Equator; the results were no longer significant when adjusted for baseline differences (aOR = 1.32 (1.00, 1.74), P = 0.051 for 28-day mortality; aOR = -1.07 (-2.13, -0.01), P = 0.050 for hospital-free days). When we looked at the altitude's effect, we discovered that it demonstrated a non-linear association with mortality within 28 d of hospital admission (aOR = 0.96 (0.62, 1.47), 1.04 (0.92, 1.19), 0.49 (0.22, 0.90), and 0.51 (0.27, 0.98), for the altitude points of 75 MASL, 125 MASL, 400 MASL, and 600 MASL, in comparison to the reference altitude of 148 m.a.s.l, respectively. P = 0.001). We detected an association between latitude and 28-day mortality as well as hospital-free days in this worldwide study. When the baseline features were taken into account, however, this did not stay significant. CONCLUSION: Our findings suggest that differences observed in previous epidemiological studies may be due to ecological fallacy rather than implying a causal relationship at the patient level.