Altered mental status predicts length of stay but not death in a community-based cohort of hospitalized COVID-19 patients.

INTRODUCTION: Altered Mental Status (AMS) is a common neurological complication in patients hospitalized with the diagnosis of COVID-19 (Umapathi et al., 2020; Liotta et al., 2020). Studies show that AMS is associated with death and prolonged hospital stay. In addition to respiratory insufficiency, COVID-19 causes multi-organ failure and multiple metabolic derangements, which can cause AMS, and the multi-system involvement could account for the prolonged hospital stay and increased mortality. In this study, we built on our previous publication (Chachkhiani et al., 2020) using a new, larger cohort to investigate whether we could reproduce our previous findings while addressing some of the prior study's limitations. Most notably, we sought to determine whether AMS still predicted prolonged hospital stay and increased mortality after controlling for systemic complications such as sepsis, liver failure, kidney failure, and electrolyte abnormalities. OBJECTIVES: The primary purpose was to document the frequency of AMS in patients with COVID-19 at the time of presentation to the emergency room. Secondary aims were to determine: 1) if AMS at presentation was associated with worse outcomes as measured by prolonged hospitalization and death; and 2) if AMS remained a predictor of worse outcome after adjusting for concomitant organ failure and metabolic derangements. RESULTS: Out of 367 patients, 95 (26%) had AMS as a main or one of the presenting symptoms. Our sample has a higher representation of African Americans (53%) than the US average and a high frequency of comorbidities, such as obesity (average BMI 29.1), hypertension (53%), and diabetes (30%). Similar to our previous report, AMS was the most frequent neurological chief complaint. At their admission, out of 95 patients with AMS, 83 (88%) had organ failure or one of the systemic problems that could have caused AMS. However, a similar proportion (86%) of patients without AMS had one or more of these same problems. Age, race, and ethnicity were the main demographic predictors. African Americans had shorter hospital stay [HR1.3(1.0,1.7),p = 0.02] than Caucasians. Hispanics also had shorter hospital stay than non-Hispanics [HR1.6(1.2,2.1), p = 0.001]. Hypoxia, liver failure, hypernatremia, and kidney failure were also predictors of prolonged hospital stay. In the multivariate model, hypoxia, liver failure, and acute kidney injury were the remaining predictors of longer hospital stay, as well as people with AMS at baseline [HR0.7(0.6,0.9), p < 0.02] after adjusting for the demographic characteristics and clinical predictors. AMS at baseline predicted death, but not after adjusting for demographics and clinical variables in the multivariate model. Hypoxia and hyperglycemia at baseline were the strongest predictors of death. CONCLUSION: Altered mental status is an independent predictor of prolonged hospital stay, but not death. Further studies are needed to evaluate the causes of AMS in patients with COVID-19.

Neurological complications of COVID19 during March 2020 at LCMC health university medical center: Dataset.

We reviewed the electronic medical records (EMR) of patients hospitalized during the peak of the pandemic, March 1st through March 31st, to document the type and frequency of neurological problems seen in patients with COVID-19 at presentation to the emergency room. Secondary aims were to determine: 1) the frequency of neurological complaints during the hospital stay; 2) whether the presence of any neurological complaint at presentation or any of the individual types of neurological complaints at admission predicted three separate outcomes: death, length of hospital stay, or the need for intubation; and 3) if the presence of any neurological complaint or any of the individual types of neurological complaints developed during hospital stay predicted the previous three outcomes. SETTING: The Louisiana Health Sciences Center - New Orleans Institutional Review Board and the University Medical Center Clinical Research Review Committee approved the study protocol. DATA ACQUISITION: We reviewed the electronic medical records (EMR) of patients hospitalized during March (March 1st through March 31st) 2020 at the University Medical Center New Orleans (UMCNO), who tested positive for SARS-CoV-2 during the same hospitalization. The EMR team generated a list of 257 patients admitted for COVID-19. We excluded seven patients because of a negative COVID-19 test result or incomplete medical record documentation. Three neurology residents (DC, MS, DB) reviewed the EMR in detail to capture the relevant medical history, clinical course, and laboratory test results and abstracted data into an electronic data collection spreadsheet.We recorded the presentation or development of the following neurological complaints: headache, syncope, altered mental status, seizure, status epilepticus, and ischemic or hemorrhagic stroke. STATISTICAL ANALYSIS: We used "R" (statistics software) and Microsoft Excel to generate summary tables. To analyze hospital length of stay or death, we fitted a competing risks proportional hazards model for time to discharge or death using the crr() function in R version 4.0.0. The competing risks model allowed the analysis of hospital stay, taking into account that the censoring of cases due to death was not random. To predict the likelihood of intubation, we used the glm() function in R to fit a logistic regression model. For each model, we determined baseline demographic variables predictive of the outcomes and generated adjusted models. For variables with less than five cases per cell, we reported the p-values for Fisher's Exact Test.The analyses and results are published in:Chachkhiani, David et al. "Neurological complications in a predominantly African American population of COVID-19 predict worse outcomes during hospitalization." Clinical Neurology and Neurosurgery (in press).These data will be useful for researchers trying to build larger datasets regarding COVID19 neurological complications for metanalysis or to answer other questions requiring larger sample sizes.

Neurological complications in a predominantly African American sample of COVID-19 predict worse outcomes during hospitalization.

People with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, COVID-19, can have neurological problems including headache, anosmia, dysgeusia, altered mental status (AMS), ischemic stroke with or without large vessel occlusion, and Guillen-Barre Syndrome. Louisiana was one of the states hit hardest by the pandemic with just over 57,000 laboratory-confirmed cases of COVID-19 by the end of June 2020. We reviewed the electronic medical records (EMR) of patients hospitalized during the peak of the pandemic, March 1st through March 31st, to document the type and frequency of neurological problems seen in patients with COVID-19 at presentation to the emergency room. Secondary aims were to determine: 1) the frequency of neurological complaints during the hospital stay; 2) whether the presence of any neurological complaint at presentation or any of the individual types of neurological complaints at admission predicted three separate outcomes: death, length of hospital stay, or the need for intubation; and 3) if the presence of any neurological complaint or any of the individual types of neurological complaints developed during hospital stay predicted the previous three outcomes. A large proportion of our sample (80 %) was African American and had hypertension (79 %). Out of 250 patients, 56 (22 %) patients died, and 72 (29 %) patients required intubation. Thirty-four (14 %) had a neurological chief complaint at presentation; the most common neurological chief complaints in the entire sample were altered mental status (AMS) (8 %), headache (2 %), and syncope (2 %). We used a competing risk model to determine whether neurological symptoms at presentation or during hospital stay were predictors of prolonged hospital stay and death. To establish whether neurological symptoms were associated with higher odds of intubation, we used logistic regression. Age was the only significant demographic predictor of death and hospital stay. The HR (95 %CI) for remaining in the hospital for a ten-year increase in age was 1.2, (1.1, 1.3, p < 0.0001), and for death was 1.3, (1.1, 1.5, p < 0.01). There were no demographic characteristics, including age or comorbidities predictive of intubation. Adjusting for age, patients who at presentation had neurological issues as their chief complaint were at significantly increased risk for remaining in the hospital, HR = 1.7, (1.1,2.5, p = 0.0001), and dying, HR = 2.1(1.1,3.8, p = 0.02), compared to patients without any neurological complaint. Of the individual admission complaints, AMS was associated with a significantly prolonged hospital stay, HR = 1.8, (1.0-3.3, p = 0.05). Patients that required dialysis or intubation or had AMS during hospitalization had more extended hospital stays. After adjusting for age, dialysis, and intubation, patients with AMS during hospital stay had a HR of 1.6, (1.1, 2.5, p = 0.01) for remaining in the hospital. Patients who had statistically significant higher odds of requiring intubation were those who presented with any neurological chief complaint, OR = 2.8 (1.3,5.8, p = 0.01), or with headaches OR = 13.3 (2.1,257.0, p = 0.008). Patients with AMS during the hospital stay, as well as those who had seizures, were more likely to need intubation. In the multivariate model, dialysis, OR = 4.9 (2.6,9.4, p < 0.0001), and AMS, OR = 8.8 (3.9,21.2, p < 0.0001), were the only independent predictors of intubation. Neurological complaints at presentation and during the hospital stay are associated with a higher risk of death, prolonged hospital stay, and intubation. More work is needed to determine whether the cause of the neurological complaints was direct CNS involvement by the virus or the other systemic complications of the virus.

Predictive utility of type and duration of symptoms at initial presentation in patients with mild cognitive impairment.

BACKGROUND/AIMS: To assess (1) the duration and symptoms present in participants with mild cognitive impairment (MCI) and (2) the impact of these variables on predicting conversion to Alzheimer's disease (AD). METHODS: Participants with MCI (n = 148) were assessed and followed systematically. RESULTS: Decline in memory was reported as the first symptom in 118 of the cases. Converters had more symptoms (e.g. language decline, depression), and the combination of decline in memory and in performance of high-order social/cognitive activities as well as disorientation more often than nonconverters (p = 0.036). In an age-stratified Cox model, predictors of conversion to AD were shorter time since onset of memory decline and lower baseline MMSE score. CONCLUSIONS: Recent onset of memory decline with older age, decreased MMSE score, change in performance and disorientation indicate a greater likelihood of short-term conversion to AD.

The impact of anxiety on conversion from mild cognitive impairment to Alzheimer's disease.

OBJECTIVE: To compare state and trait anxiety in mild cognitive impairment (MCI) patients and matched control subjects, and to assess the impact of these variables in predicting conversion to Alzheimer's disease. METHODS: One hundred and forty-eight patients with MCI, broadly defined, were assessed and followed systematically. Baseline predictors for follow-up conversion to AD (entire sample: 39/148 converted to Alzheimer's disease (AD)) included the Spielberger State-Trait Anxiety Inventory (STAI). RESULTS: At baseline evaluation, MCI patients had higher levels of state and trait anxiety than controls, with no differences between future AD converters (n = 39) and non-converters. In age-stratified Cox proportional hazards model analyses, STAI State was not a significant predictor of conversion to AD (STAI State < or =30 vs. > 30 risk ratio, 1.68; 95% CI, 0.75, 3.77; p = 0.21), but higher Trait scores indicated a lower risk of conversion when STAI State, education, the Folstein Mini-Mental State Examination and HAM-D (depression score) were also included in the model (STAI Trait < or =30 vs. > 30 risk ratio, 0.36; 95% CI, 0.16, 0.82; p = 0.015). CONCLUSIONS: In contrast to two other recent studies that showed anxiety predicted cognitive decline or conversion to AD, in this clinic-based sample, state anxiety was not a significant predictor. However, higher Trait anxiety predicted a lower risk of future conversion to AD. Further research with systematic long-term follow-up in larger samples is needed to clarify the role of state and trait anxiety in predicting MCI conversion to AD.

Rehabilitation pharmacology: bridging laboratory work to clinical application.

BACKGROUND: Converging lines of evidence indicate the utility of medications for enhancing functional recovery after brain injury. METHODS: Laboratory studies using rats and cats suggest that drugs augmenting noradrenergic function may facilitate recovery after cortical injury, when combined with appropriate environmental experience. This short-term noradrenergic strategy can be initiated months after injury and enhance recovery to a higher ultimate outcome level. Additional support for a central role of noradrenaline on recovery of function is that administration of drugs reducing noradrenergic function has the opposite effect, slowing functional recovery. Importantly these include several commonly prescribed medications such as alpha 2-adrenergic agonists, alpha 1-adrenergic blockers, and GABAergic agents that can retard recovery. The role for other medication such as those that affect acetylcholine requires further investigation. CONCLUSIONS: There is a need for controlled clinical trials investigating effects on functional recovery after brain injury addressing basic pharmacological issues of efficacy, safety, and interaction with the rehabilitation environment. Rehabilitation research centers capable of integrating laboratory and clinical research efforts need to be established. This will be a slow and costly endeavor, but certainly less expensive than not developing a scientific basis for rehabilitation medicine.