Altered mental status is an independent predictor of mortality in hospitalized COVID-19 patients.

BACKGROUND/AIMS: Limited data exists on the outcomes of COVID-19 patients presenting with altered mental status (AMS). Hence, we studied the characteristics and outcomes of hospitalized COVID-19 patients who presented with AMS at our hospital in rural southwest Georgia. METHODS: Data from electronic medical records of all hospitalized COVID-19 patients from March 2, 2020, to June 17, 2020, were analyzed. Patients were divided in 2 groups, those presenting with and without AMS. Primary outcome of interest was in-hospital mortality. Secondary outcomes were needed for mechanical ventilation, need for intensive care unit (ICU) care, need for dialysis, and length of stay. All analyses were performed using SAS 9.4 and R 3.6.0. RESULTS: Out of 710 patients, 73 (10.3%) presented with AMS. Majority of the population was African American (83.4%). Patients with AMS were older and more likely to have hypertension, chronic kidney disease (CKD), cerebrovascular disease, and dementia. Patients with AMS were less likely to present with typical COVID-19 symptoms, including dyspnea, cough, fever, and gastrointestinal symptoms. Predictors of AMS included age ≥ 70 years, CKD, cerebrovascular disease, and dementia. After multivariable adjustment, patients with AMS had higher rates of in-hospital mortality (30.1% vs 14.8%, odds ratio (OR) 2.139, p = 0.019), ICU admission (43.8% vs 40.2%, OR 2.59, p < 0.001), and need for mechanical ventilation (27.4% vs 18.5%, OR 2.06, p = 0.023). Patients presenting with AMS had increased length of stay. CONCLUSIONS: Patients with COVID-19 presenting with AMS are less likely to have typical COVID-19 symptoms, and AMS is an independent predictor of in-hospital mortality, need for ICU admission, and need for mechanical ventilation.

Profound racial disparities in COVID-19 associated hospitalizations in rural Southwest Georgia.

BACKGROUND: The coronavirus disease 2019 (COVID-19) is responsible for one of the largest public health crises the United States has seen to date. This study explores the outcomes of African American and non-African American COVID-19-positive patients hospitalized in rural Southwest Georgia to identify differences in morbidity and mortality between the groups. METHODS: We performed a retrospective cohort analysis among adults aged ≥18 years admitted with COVID-19 between March 2, 2020 and June 17, 2020 at Phoebe Putney Health System. Data on demographics, comorbidities, presenting symptoms, and hospital course were obtained. Patients were divided into two groups: African Americans and non-African Americans. We examined differences in patient characteristics between groups using chi-square tests for categorical variables, t-test for parametric continuous variables, and Wilcoxon rank-sum tests for non-parametric continuous variables. Statistical Analysis Software (SAS) version 9.4 was used for statistical analysis. RESULTS: Among 710 patients, median age was 63 years, 43.8% were males, and 83.3% were African Americans. African Americans had higher prevalence of obesity and hypertension, were more likely to present with fever, and present with longer duration of symptoms prior to presentation. In-hospital mortality was similar between the groups, as was need for mechanical ventilation, ICU care, and new dialysis. African Americans were more likely to be discharged home compared to non-African Americans. CONCLUSIONS: There was no difference in in-hospital mortality; however, African Americans had disproportionately higher hospitalizations, likely to significantly increase the morbidity burden in this population. Urgent measures are needed to address this profound racial disparity.

COVID-19 Clinical Phenotypes: Presentation and Temporal Progression of Disease in a Cohort of Hospitalized Adults in Georgia, United States.

BACKGROUND: The epidemiological features and outcomes of hospitalized adults with coronavirus disease 2019 (COVID-19) have been described; however, the temporal progression and medical complications of disease among hospitalized patients require further study. Detailed descriptions of the natural history of COVID-19 among hospitalized patients are paramount to optimize health care resource utilization, and the detection of different clinical phenotypes may allow tailored clinical management strategies. METHODS: This was a retrospective cohort study of 305 adult patients hospitalized with COVID-19 in 8 academic and community hospitals. Patient characteristics included demographics, comorbidities, medication use, medical complications, intensive care utilization, and longitudinal vital sign and laboratory test values. We examined laboratory and vital sign trends by mortality status and length of stay. To identify clinical phenotypes, we calculated Gower's dissimilarity matrix between each patient's clinical characteristics and clustered similar patients using the partitioning around medoids algorithm. RESULTS: One phenotype of 6 identified was characterized by high mortality (49%), older age, male sex, elevated inflammatory markers, high prevalence of cardiovascular disease, and shock. Patients with this severe phenotype had significantly elevated peak C-reactive protein creatinine, D-dimer, and white blood cell count and lower minimum lymphocyte count compared with other phenotypes (P < .01, all comparisons). CONCLUSIONS: Among a cohort of hospitalized adults, we identified a severe phenotype of COVID-19 based on the characteristics of its clinical course and poor prognosis. These findings need to be validated in other cohorts, as improved understanding of clinical phenotypes and risk factors for their development could help inform prognosis and tailored clinical management for COVID-19.

Is Cardiopulmonary Resuscitation Futile in Coronavirus Disease 2019 Patients Experiencing In-Hospital Cardiac Arrest?

OBJECTIVES: There is limited data regarding outcomes after in-hospital cardiac arrest among coronavirus disease 2019 patients. None of the studies have reported the outcomes of in-hospital cardiac arrest in coronavirus disease 2019 patients in the United States. We describe the characteristics and outcomes of in-hospital cardiac arrest in coronavirus disease 2019 patients in rural Southwest Georgia. DESIGN: Retrospective cohort study. SETTING: Single-center, multihospital. PATIENTS: Consecutive coronavirus disease 2019 patients who experienced in-hospital cardiac arrest with attempted resuscitation. INTERVENTIONS: Attempted resuscitation with advanced cardiac life support. MEASUREMENT AND MAIN RESULTS: Out of 1,094 patients hospitalized for coronavirus disease 2019 during the study period, 63 patients suffered from in-hospital cardiac arrest with attempted resuscitation and were included in this study. The median age was 66 years, and 49.2% were males. The majority of patients were African Americans (90.5%). The most common comorbidities were hypertension (88.9%), obesity (69.8%), diabetes (60.3%), and chronic kidney disease (33.3%). Eighteen patients (28.9%) had a Charlson Comorbidity Index of 0-2. The most common presenting symptoms were shortness of breath (63.5%), fever (52.4%), and cough (46%). The median duration of symptoms prior to admission was 14 days. During hospital course, 66.7% patients developed septic shock, and 84.1% had acute respiratory distress syndrome. Prior to in-hospital cardiac arrest, 81% were on ventilator, 60.3% were on vasopressors, and 39.7% were on dialysis. The majority of in-hospital cardiac arrest (84.1%) occurred in the ICU. Time to initiation of advanced cardiac life support protocol was less than 1 minute for all in-hospital cardiac arrest in the ICU and less than 2 minutes for the remaining patients. The most common initial rhythms were pulseless electrical activity (58.7%) and asystole (33.3%). Although return of spontaneous circulation was achieved in 29% patients, it was brief in all of them. The in-hospital mortality was 100%. CONCLUSIONS: In our study, coronavirus disease 2019 patients suffering from in-hospital cardiac arrest had 100% in-hospital mortality regardless of the baseline comorbidities, presenting illness severity, and location of arrest.

Predictors at Admission of Mechanical Ventilation and Death in an Observational Cohort of Adults Hospitalized With Coronavirus Disease 2019.

BACKGROUND: Coronavirus disease (COVID-19) can cause severe illness and death. Predictors of poor outcome collected on hospital admission may inform clinical and public health decisions. METHODS: We conducted a retrospective observational cohort investigation of 297 adults admitted to 8 academic and community hospitals in Georgia, United States, during March 2020. Using standardized medical record abstraction, we collected data on predictors including admission demographics, underlying medical conditions, outpatient antihypertensive medications, recorded symptoms, vital signs, radiographic findings, and laboratory values. We used random forest models to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for predictors of invasive mechanical ventilation (IMV) and death. RESULTS: Compared with age <45 years, ages 65-74 years and ≥75 years were predictors of IMV (aORs, 3.12 [95% CI, 1.47-6.60] and 2.79 [95% CI, 1.23-6.33], respectively) and the strongest predictors for death (aORs, 12.92 [95% CI, 3.26-51.25] and 18.06 [95% CI, 4.43-73.63], respectively). Comorbidities associated with death (aORs, 2.4-3.8; P < .05) included end-stage renal disease, coronary artery disease, and neurologic disorders, but not pulmonary disease, immunocompromise, or hypertension. Prehospital use vs nonuse of angiotensin receptor blockers (aOR, 2.02 [95% CI, 1.03-3.96]) and dihydropyridine calcium channel blockers (aOR, 1.91 [95% CI, 1.03-3.55]) were associated with death. CONCLUSIONS: After adjustment for patient and clinical characteristics, older age was the strongest predictor of death, exceeding comorbidities, abnormal vital signs, and laboratory test abnormalities. That coronary artery disease, but not chronic lung disease, was associated with death among hospitalized patients warrants further investigation, as do associations between certain antihypertensive medications and death.

Baseline use of angiotensin-converting enzyme inhibitor/AT1 blocker and outcomes in hospitalized coronavirus disease 2019 African-American patients.

OBJECTIVES: The primary objective of this study is to determine the effect of baseline use of angiotensin-converting enzyme inhibitor (ACE-i)/AT1 blocker (ARB) on mortality in hospitalized coronavirus disease 2019 (Covid-19) African-American patients. The secondary objectives are, to determine the effect of baseline use of ACE-i/ARB on the need for mechanical ventilation, new dialysis, ICU care, and on composite of above-mentioned outcomes in the same cohort. METHODS: In this retrospective study, we analyzed data using electronic medical records from all hospitalized Covid-19 African-American patients, who either died in the hospital or survived to discharge between 2 March and 22 May 2020. Patients were divided into two groups, those on ACE-i/ARB at baseline and those not on them. We used Pearson chi-square test for categorical variables, and Student's t test for continuous variables. We performed multiple logistic regression to test the primary and secondary objectives using SAS 9.4. RESULTS: Out of 531 patients included in the analysis, 207 (39%) were on ACE-i/ARB at baseline. Patients in ACE-i/ARB group were older (64 vs. 57 years, P < 0.001), and had higher prevalence of hypertension (96.6 vs. 69.4%, P < 0.001) and diabetes mellitus (55.6 vs. 34.9%, P < 0.001). There was no difference in sex, BMI, other comorbidities, and presenting illness severity among the groups. After adjustment of multiple covariates, there was no difference in outcomes between the two groups including mortality, need for mechanical ventilation, new dialysis, ICU care, as well as composite outcomes. CONCLUSION: Baseline use of ACE-i/ARB does not worsen outcomes in hospitalized Covid-19 African-American patients.

Demographics, comorbidities and outcomes in hospitalized Covid-19 patients in rural southwest Georgia.

BACKGROUND: There is limited data on outcomes in patients with coronavirus disease 2019 (Covid-19) in rural United States (US). This study aimed to describe the demographics, and outcomes of hospitalized Covid-19 patients in rural Southwest Georgia. METHODS: Using electronic medical records, we analyzed data from all hospitalized Covid-19 patients who either died or survived to discharge between 2 March 2020 and 6 May 2020. RESULTS: Of the 522 patients, 92 died in hospital (17.6%). Median age was 63 years, 58% were females, and 87% African-Americans. Hypertension (79.7%), obesity (66.5%) and diabetes mellitus (42.3%) were the most common comorbidities. Males had higher overall mortality compared to females (23 v 13.8%). Immunosuppression [odds ratio (OR) 3.6; (confidence interval (CI): 1.52-8.47, p=.003)], hypertension (OR 3.36; CI:1.3-8.6, p=.01), age ≥65 years (OR 3.1; CI:1.7-5.6, p<.001) and morbid obesity (OR 2.29; CI:1.11-4.69, p=.02), were independent predictors of in-hospital mortality. Female gender was an independent predictor of decreased in-hospital mortality. Mortality in intubated patients was 67%. Mortality was 8.9% in <50 years, compared to 20% in ≥50 years. CONCLUSIONS: Immunosuppression, hypertension, age ≥ 65 years and morbid obesity were independent predictors of mortality, whereas female gender was protective for mortality in hospitalized Covid-19 patients in rural Southwest Georgia. KEY MESSAGES Patients hospitalized with Covid-19 in rural US have higher comorbidity burden. Immunosuppression, hypertension, age ≥ 65 years and morbid obesity are independent predictors of increased mortality. Female gender is an independent predictor of reduced mortality.

Characteristics and Clinical Outcomes of Adult Patients Hospitalized with COVID-19 - Georgia, March 2020.

SARS-CoV-2, the novel coronavirus that causes coronavirus disease 2019 (COVID-19), was first detected in the United States during January 2020 (1). Since then, >980,000 cases have been reported in the United States, including >55,000 associated deaths as of April 28, 2020 (2). Detailed data on demographic characteristics, underlying medical conditions, and clinical outcomes for persons hospitalized with COVID-19 are needed to inform prevention strategies and community-specific intervention messages. For this report, CDC, the Georgia Department of Public Health, and eight Georgia hospitals (seven in metropolitan Atlanta and one in southern Georgia) summarized medical record-abstracted data for hospitalized adult patients with laboratory-confirmed* COVID-19 who were admitted during March 2020. Among 305 hospitalized patients with COVID-19, 61.6% were aged <65 years, 50.5% were female, and 83.2% with known race/ethnicity were non-Hispanic black (black). Over a quarter of patients (26.2%) did not have conditions thought to put them at higher risk for severe disease, including being aged ≥65 years. The proportion of hospitalized patients who were black was higher than expected based on overall hospital admissions. In an adjusted time-to-event analysis, black patients were not more likely than were nonblack patients to receive invasive mechanical ventilation† (IMV) or to die during hospitalization (hazard ratio [HR] = 0.63; 95% confidence interval [CI] = 0.35-1.13). Given the overrepresentation of black patients within this hospitalized cohort, it is important for public health officials to ensure that prevention activities prioritize communities and racial/ethnic groups most affected by COVID-19. Clinicians and public officials should be aware that all adults, regardless of underlying conditions or age, are at risk for serious illness from COVID-19.

Obstructive sleep apnea co-morbidity in patients with fibromyalgia: a single-center retrospective analysis and literature review.

Background: Fibromyalgia (FM) is a chronic medical condition characterized by widespread pain, sleep disturbance, and cognitive dysfunction. Sleep disorders are thought to play a prominent role in the etiology and symptomatic management of FM, specifically obstructive sleep apnea (OSA). In order to provide collaborative care, we need a better understanding of any overlapping presentation of FM and OSA. We conducted a site-wide review of patients from 2012-2016 to identify FM patients diagnosed with OSA. Methods: Charts were reviewed in patients aged 18 and above from 2012-2016 using ICD codes from a clinical data repository. Intersection of patients with a diagnosis of FM and OSA in clinics of psychiatry, sleep, rheumatology, and other outpatient clinics was compared. Polysomnography order patterns for FM patients were investigated. Results: Co-morbidity was highest in the sleep clinic (85.8%) compared to psychiatry (42.0%), rheumatology (18.7%), and other outpatient clinics (3.6%) (p<0.001). In the rheumatology and other outpatient clinics, 93.5% and 96% of patients respectively, had no polysomnography ordered. Pairwise comparison of co-morbidity in clinics: sleep vs psychiatry, sleep vs rheumatology, sleep vs other clinics, psychiatry vs rheumatology, psychiatry vs other clinics, and rheumatology vs other clinics were statistically significant after applying a Sidak adjustment to the p-values (all p<0.001). Conclusion: Our analysis suggests that there could be a correlation between FM and OSA, and referral to sleep studies is recommended in the management of patients with FM. The varying prevalence of FM patients with co-morbid OSA in sleep clinics when compared to other outpatient clinics suggests a discrepancy in the identification of FM patients with OSA. When properly screened, OSA co-morbidity has the potential to be higher in other outpatient clinics.

Multi-hospital Community NICU Quality Improvement Improves Survival of ELBW Infants.

Quality improvement or high reliability in medicine is an evolving science where we seek to integrate evidence-based medicine, structural resources, process management, leadership models, culture, and education. Newborn Associates is a community-based neonatology practice that staffs and manages neonatal intensive care units (NICU's) at Central Mississippi Medical Center, Mississippi Baptist Medical Center, River Oaks Hospital, St Dominic's Hospital and Woman's Hospital within the Jackson, Mississippi, metropolitan area. These hospitals participate in the Vermont-Oxford Neonatal Network (VON), which is a voluntary national network of about 1000 NICU groups that submit data allowing them to benchmark their patient outcome. This network currently holds data on 1.5 million infants. Participation may also include the Newborn Improvement Quality Collaborative (NICQ) which is an intensive quality improvement program where 40-60 of the almost 1000 VON centers participate each year or the iNICQ, which is an internet-based collaborative involving about 150 centers per year. From 2008-2009, our group concentrated efforts on quality improvement which included consolidating resources of three corporately managed hospitals to allow focused care of babies under 800-1000 grams at a single center, expanding participation in the VON NICQ to include all physicians and centers, and establishing a group QI focused committee aimed at sharing practice bundles and adopting quality improvement methodology. The goal of this article is to report the impact of these QI activities on survival of the smallest preterm infants who weigh less than 1500 grams at birth. Two epochs were compared: 2006-2009, and 2010-2013. 551 VLBW (< 1 500 grams) infants from epoch I were compared to 583 VLBW infants from epoch 2. Mortality in this group decreased from 18% to 11.1% (OR 0.62,95% CI 0.44-0.88). Mortality in the 501-750 grams birth weight category decreased from 45.7% to 18% (OR 0.39,95% CI 0.21-0.74). Improved survival was noted in all centers over the time period. These findings suggest that a physician-driven, multidisciplinary, individualized and multifactorial quality improvement effort can positively impact the care of extremely preterm infants in the community NICU setting.