COVID-19 Cohort Research Articles

SARS-CoV-2 Infection during Delivery Causes Histopathological Changes in the Placenta.

SARS-CoV-2 can damage human placentas, leading to pregnancy complications, such as preeclampsia and premature birth. This study investigates the histopathological changes found in COVID-19-affected placentas. This study included 23 placentas from patients with active COVID-19 during delivery and 22 samples from patients without COVID-19 infection in their medical history. The samples underwent histopathological examination for pathology, such as trophoblast necrosis, signs of vessel damage, or fetal vascular malperfusion. Newborns from the research group have lower weights and Apgar scores than healthy newborns. In the COVID-19 group, calcifications and collapsed intervillous space were more frequent, and inflammation was more severe than in the healthy group. At the same time, the placenta of SARS-CoV-2-positive patients showed signs of accelerated vascular maturation. Trophoblast necrosis was found only in the placentas of the research group. The expression of CD68+ was elevated in the COVID-19 cohort, suggesting that macrophages constituted a significant part of the inflammatory infiltrate. The increase in lymphocyte B markers was associated with placental infarctions, while high levels of CD3+, specific for cytotoxic T lymphocytes, correlated with vascular injury. SARS-CoV-2 is associated with pathological changes in the placenta, including trophoblast necrosis, calcification, and accelerated villous maturation. Those changes appear to be driven by T cells and macrophages, whose increased expression reflects ongoing histiocytic intervillositis in the placenta.

Associations between COVID-19 therapies and outcomes in rural and urban America: A multisite, temporal analysis from the Alpha to Omicron SARS-CoV-2 variants.

To investigate the enduring disparities in adverse COVID-19 events between urban and rural communities in the United States, focusing on the effects of SARS-CoV-2 vaccination and therapeutic advances on patient outcomes. Using National COVID Cohort Collaborative (N3C) data from 2021 to 2023, this retrospective cohort study examined COVID-19 hospitalization, inpatient death, and other adverse events. Populations were categorized into urban, urban-adjacent rural (UAR), and nonurban-adjacent rural (NAR). Adjustments included demographics, variant-dominant waves, comorbidities, region, and SARS-CoV-2 treatment and vaccination. Statistical methods included Kaplan-Meier survival estimates, multivariable logistic, and Cox regression. The study included 3,018,646 patients, with rural residents constituting 506,204. These rural dwellers were older, had more comorbidities, and were less vaccinated than their urban counterparts. Adjusted analyses revealed higher hospitalization odds in UAR and NAR (aOR 1.07 [1.05-1.08] and 1.06 [1.03-1.08]), greater inpatient death hazard (aHR 1.30 [1.26-1.35] UAR and 1.37 [1.30-1.45] NAR), and greater risk of other adverse events compared to urban dwellers. Delta increased, while Omicron decreased, inpatient adverse events relative to pre-Delta, with rural disparities persisting throughout. Treatment effectiveness and vaccination were similarly protective across all cohorts, but dexamethasone post-ventilation was effective only in urban areas. Nirmatrelvir/ritonavir and molnupiravir better protected rural residents against hospitalization. Despite advancements in treatment and vaccinations, disparities in adverse COVID-19 outcomes persist between urban and rural communities. The effectiveness of some therapeutic agents appears to vary based on rurality, suggesting a nuanced relationship between treatment and geographic location while highlighting the need for targeted rural health care strategies.

Clinical characteristics of a COVID-19 cohort treated at UCLA Ronald Reagan Medical Center during the breaking phase of the pandemic: A retrospective study

To this date, COVID-19 remains an unresolved pandemic, and the impairment of redox homeostasis dictates the severity of clinical outcomes. Here we examined initial UCLA cohort of 440 COVID-19 patients hospitalized between March 1st and April 1st, 2020, representing the first wave of the pandemic. The mean age was 58.88 ± 21.12, among which males were significantly more than females (55.5 % vs. 44.5 %), most distinctively in age group of 50–69. The age groups of 50–69 (33.6 %) and ≥70 (34.8 %) dominated. The racial composition was in general agreement with Census data with slight under-representation of Hispanics and Asians, and over-representation of Caucasians. Smoking was a significant factor (28.8 % vs. 11.0 % in LA population), likewise for obesity (BMI ≥30) (37.4 % vs. 27.7 % in LA population). Patients suffering from obesity or BMI<18.5 checked into ICU at a significantly higher rate. A 74.5 % of the patients had comorbidities including diabetes, chronic kidney disease, chronic pulmonary disease, congestive heart failure and peripheral vascular disease. The levels of d-dimer were drastically upregulated (1159.5 ng/mL), indicating hypercoagulative state. Upregulated LDH (328 IU/L) indicated significant tissue damages. A distorted redox hemeostasis is a common trait associated with these risk factors and clinical markers. A quarter of the patients received antivirals, among which Remdesivir most prescribed (23.6 %). Majority received antithrombotics (75 %), and antibiotics. Upon admission, 67 patients were intubated or received CPR; 177 patients eventually received intensive care (40.2 %). While 290 were discharged alive, 10 remained hospitalized, 73 were transferred, and 36 died with 3 palliatively discharged. In summary, our data fully characterized a Californian cohort of COVID-19 at the breaking phase of the pandemic, indicating that population demographics, biophysical characters, comorbidities and molecular pathological parameters have significant impacts on the evolvement of a pandemic. These provide critical insights into effective management of COVID-19, and future break from another pathogen.

Reduced IFNL1 and/or IFNL2, but not IFNL3 is associated with worse outcome in patients with COVID-19.

The recent pandemic was caused by the emergence of a new human pathogen, SARS-CoV-2. While the rapid development of many vaccines provided an end to the immediate crisis, there remains an urgent need to understand more about this new virus and what constitutes a beneficial immune response in terms of successful resolution of infection. Indeed, this is key for development of vaccines that provide long lasting protective immunity. The interferon lambda (IFNL) family of cytokines are produced early in response to infection and are generally considered anti-viral and beneficial. However, data regarding production of IFNL cytokines in COVID-19 patients is highly variable, and generally from underpowered studies. In this study, we measured all three IFNL1, IFNL2 and IFNL3 cytokines in plasma from a well characterised, large COVID-19 cohort (n=399) that included good representation from patients with a more indolent disease progression, and hence a beneficial immune response. While all three cytokines were produced, they differed in both the frequency of expression in patients, and the levels produced. IFNL3 was produced in almost all patients but neither protein level nor IFNL3/IFNL4 SNPs were associated with clinical outcome. In contrast, both IFNL1 and IFNL2 levels were significantly lower, or absent, in plasma of patients that had a more severe disease outcome. These data are consistent with the concept that early IFNL1 and IFNL2 cytokine production is protective against SARS-CoV-2 infection.

The Pathognomonic ultrasonographic findings in fetus with COVID-19 infection

Aim: The main goal is to identify the pathognomonic sonographic signs for foetal SARS-CoV-2 infection and to determine whether or not transplacental SARS-CoV-2 transmission is possible. Patients and Methods: In total, 105 pregnant women with positive SARS-CoV-2 PCR swabs during the first trimester with mild or moderate infection without hospitalisation and/or oxygen support were included in this prospective comparative study, which was carried out at the ultrasound and foetal medicine unit of Ain Shams University Maternity Hospital from January 2021 to June 2023. The SARS-CoV-2 positive group was compared to the control group with inclusion and exclusion criteria. Results: In the COVID-19 group, pathognomonic ultrasonographic results were considerably more common. The COVID-19 group had a considerably higher frequency of placental calcifications and oligohydramnios. In the COVID-19 cohort, patients with positive pathognomonic ultrasonographic results had considerably higher BMIs. In the COVID-19 cohort, gestational age at infection, and BMI ≥30.0 kg/m2 were significant independent risk factors for the development of pathognomonic ultrasonographic abnormalities. Those in the control group who had positive pathognomonic ultrasonographic results were older and had higher rates of hypertension. Significant independent risk variables for the incidence of pathognomonic ultrasonographic findings in the control group included age ≥34.0 years and hypertension. Conclusion: There is no evidence of a teratogenic effect linked to maternal SARS-CoV-2 infection during the first few months of pregnancy. However, early pregnancy infection with COVID-19 is linked to pathognomonic ultrasonography findings of placental calcifications and oligohydramnios.

Clostridioides difficile infection following COVID-19: A nationwide analysis using routine surveillance data in Wales

CDI incidence has increased in Wales from summer 2020 and has remained elevated. There is evidence of poorer outcomes from concurrent CDI and COVID-19 infections, but it is not clear if infection with COVID-19 directly impacts likelihood of CDI infection. We investigated the relationship between CDI and COVID-19 and the impact of secondary infections. We conducted two analytical studies using routine surveillance data: i) population level ecological case control study comparing CDI cases in the Welsh population by SARS-COV-2 exposure in the previous 90 days, ii) cohort study of COVID-19 cases by secondary infection presence, investigating CDI development within 90 days. Case control: 12% (196/1645) of CDI cases had prior COVID-19 and were twice as likely to have had COVID-19 compared to general population controls, when controlling for other infection history (OR 2.1, CI 1.8-2.5, p<0.0001). CDI cases were 8 times more likely to have had other infections, independent of COVID-19 history (OR 8.0, CI 7.0-9.0, p<0.001). 2% (2,255/137,620)) of the COVID-19 cohort developed >1 secondary infection, and <1% (185/137620) developed CDI within 90 days. CDI risk was four times higher in those with secondary infections, after age and sex adjustment (RR 4.6, CI 3.1 - 6.1, p<0.001). CDI risk increased with age and did not differ by sex. Findings suggest a relationship between COVID-19 and CDI. However, incidence of CDI following COVID-19 was a rare outcome generally, suggesting other factors are likely contributing to the increased rates of CDI observed since 2020.

Association between malnutrition and post-acute COVID-19 sequelae: A retrospective cohort study.

Long coronavirus disease consists of health problems people experience after being infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). These can be severe and include respiratory, neurological, and gastrointestinal symptoms, with resulting detrimental impacts on quality of life. Although malnutrition has been shown to increase risk of severe disease and death during acute infection, less is known about its influence on post-acute COVID-19 outcomes. We addressed this critical gap in knowledge by evaluating malnutrition's impact on post-COVID-19 sequelae. This study leveraged the National COVID Cohort Collaborative to identify a cohort of patients who were at least 28 days post-acute COVID-19 infection. Multivariable Cox proportional hazard models evaluated the impact of malnutrition on the following postacute sequelae of SARS-CoV-2: (1) death, (2) long COVID diagnosis, (3) COVID-19 reinfection, and (4) other phenotypic abnormalities. A subgroup analysis evaluated these outcomes in a cohort of hospitalized patients with COVID-19 with hospital-acquired (HAC) malnutrition. The final cohort included 4,372,722 individuals, 78,782 (1.8%) with a history of malnutrition. Individuals with malnutrition had a higher risk of death (adjusted hazard ratio [aHR]: 2.10; 95% CI: 2.04-2.17) and SARS-CoV-2 reinfection (aHR: 1.52; 95% CI: 1.43-1.61) in the postacute period than those without malnutrition. In the subgroup, those with HAC malnutrition had a higher risk of death and long COVID diagnosis. Nutrition screening for individuals with acute SARS-CoV-2 infection may be a crucial step in mitigating life-altering, negative postacute outcomes through early identification and intervention of patients with malnutrition.

A Bayesian Survival Analysis on Long COVID and non Long COVID patients: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data.

Since the outbreak of COVID-19 pandemic in 2020, numerous researches and studies have focused on the long-term effects of COVID infection. The Centers for Disease Control (CDC) implemented an additional code into the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) for reporting 'Post COVID-19 condition, unspecified (U09.9)' effective on October 1st 2021, representing that Long COVID is a real illness with potential chronic conditions. The National COVID Cohort Collaborative (N3C) provides researchers with abundant electronic health records (EHR) data by aggregating and harmonizing EHR data across different clinical organizations in the United States, making it convenient to build up a survival analysis on Long COVID patients and non Long COVID patients among large amounts of COVID positive patients.

Association of COVID-19 vaccination and anxiety symptoms: A Scleroderma Patient-centered Intervention Network (SPIN) Cohort longitudinal study

ObjectiveSymptoms of anxiety increased early in the COVID-19 pandemic among people with systemic sclerosis (SSc) then returned to pre-pandemic levels, but this was an aggregate finding and did not evaluate whether vaccination may have contributed to reduced anxiety symptom levels. We investigated whether being vaccinated for COVID-19 was associated with reduced anxiety symptoms among people with SSc. MethodsThe longitudinal Scleroderma Patient-centered Intervention Network (SPIN) COVID-19 Cohort was launched in April 2020 and included participants from the ongoing SPIN Cohort and external enrollees. Participants completed measures bi-weekly through July 2020, then every 4 weeks afterwards through August 2022 (32 assessments). We used linear mixed models to evaluate longitudinal trends of PROMIS Anxiety 4a v1.0 anxiety domain scores and their association with vaccination. ResultsAmong 517 participants included in analyses, 489 (95%) were vaccinated by September 2021, and no participants were vaccinated subsequently. Except for briefly at the beginning, when few had received a vaccine, and end, when only 28 participants remained unvaccinated, anxiety symptom trajectories were largely overlapping. Participants who were never vaccinated had higher anxiety symptoms by August 2022, but there were no other differences, and receiving a vaccination did not appear to change anxiety symptom trajectories meaningfully. ConclusionVaccination did not appear to influence changes in anxiety symptoms among vulnerable people with SSc during the COVID-19 pandemic. This may be due to people restricting their behavior when they were unvaccinated and returning to more normal social engagement once vaccinated to maintain a steady level of anxiety symptoms.

Inflammatory and Autoimmune Aspects of Multisystem Inflammatory Syndrome in Children (MIS-C): A Prospective Cohort Study.

Multisystem Inflammatory Syndrome in Children (MIS-C) is a potentially life-threatening complication of COVID-19. The pathophysiological mechanisms leading to severe disease are poorly understood. This study leveraged clinical samples from a well-characterized cohort of children hospitalized with COVID-19 or MIS-C to compare immune-mediated biomarkers. Our objective was to identify selected immune molecules that could explain, in part, why certain SARS-CoV-2-infected children developed MIS-C. We hypothesized that type-2 helper T cell-mediated inflammation can elicit autoantibodies, which may account for some of the differences observed between the moderate-severe COVID-19 (COVID+) and MIS-C cohort. We enumerated blood leukocytes and measured levels of selected serum cytokines, chemokines, antibodies to COVID-19 antigens, and autoantibodies in children presenting to an academic medical center in Connecticut, United States. The neutrophil/lymphocyte and eosinophil/lymphocyte ratios were significantly higher in those in the MIS-C versus COVID+ cohort. IgM and IgA, but not IgG antibodies to SARS-CoV-2 receptor binding domain were significantly higher in the MIS-C cohort than the COVID+ cohort. The serum levels of certain type-2 cytokines (interleukin (IL)-4, IL-5, IL-6, IL-8, IL-10, IL-13, and IL-33) were significantly higher in children with MIS-C compared to the COVID+ and SARS-CoV-2-negative cohorts. IgG autoantibodies to brain antigens and pentraxin were higher in children with MIS-C compared to SARS-CoV-19-negative controls, and children with MIS-C had higher levels of IgG anti-contactin-associated protein-like 2 (caspr2) compared to the COVID+ and SARS-CoV-19-negative controls. We speculate that autoimmune responses in certain COVID-19 patients may induce pathophysiological changes that lead to MIS-C. The triggers of autoimmunity and factors accounting for type-2 inflammation require further investigation.

Finding Long-COVID: Temporal Topic Modeling of Electronic Health Records from the N3C and RECOVER Programs.

Post-Acute Sequelae of SARS-CoV-2 infection (PASC), also known as Long-COVID, encompasses a variety of complex and varied outcomes following COVID-19 infection that are still poorly understood. We clustered over 600 million condition diagnoses from 14 million patients available through the National COVID Cohort Collaborative (N3C), generating hundreds of highly detailed clinical phenotypes. Assessing patient clinical trajectories using these clusters allowed us to identify individual conditions and phenotypes strongly increased after acute infection. We found many conditions increased in COVID-19 patients compared to controls, and using a novel method to associate patients with clusters over time, we additionally found phenotypes specific to patient sex, age, wave of infection, and PASC diagnosis status. While many of these results reflect known PASC symptoms, the resolution provided by this unprecedented data scale suggests avenues for improved diagnostics and mechanistic understanding of this multifaceted disease.

Association of post-COVID phenotypic manifestations with new-onset psychiatric disease

Acute COVID-19 infection can be followed by diverse clinical manifestations referred to as Post Acute Sequelae of SARS-CoV2 Infection (PASC). Studies have shown an increased risk of being diagnosed with new-onset psychiatric disease following a diagnosis of acute COVID-19. However, it was unclear whether non-psychiatric PASC-associated manifestations (PASC-AMs) are associated with an increased risk of new-onset psychiatric disease following COVID-19. A retrospective electronic health record (EHR) cohort study of 2,391,006 individuals with acute COVID-19 was performed to evaluate whether non-psychiatric PASC-AMs are associated with new-onset psychiatric disease. Data were obtained from the National COVID Cohort Collaborative (N3C), which has EHR data from 76 clinical organizations. EHR codes were mapped to 151 non-psychiatric PASC-AMs recorded 28–120 days following SARS-CoV-2 diagnosis and before diagnosis of new-onset psychiatric disease. Association of newly diagnosed psychiatric disease with age, sex, race, pre-existing comorbidities, and PASC-AMs in seven categories was assessed by logistic regression. There were significant associations between a diagnosis of any psychiatric disease and five categories of PASC-AMs with odds ratios highest for neurological, cardiovascular, and constitutional PASC-AMs with odds ratios of 1.31, 1.29, and 1.23 respectively. Secondary analysis revealed that the proportions of 50 individual clinical features significantly differed between patients diagnosed with different psychiatric diseases. Our study provides evidence for association between non-psychiatric PASC-AMs and the incidence of newly diagnosed psychiatric disease. Significant associations were found for features related to multiple organ systems. This information could prove useful in understanding risk stratification for new-onset psychiatric disease following COVID-19. Prospective studies are needed to corroborate these findings.

The prevalence of contraceptive use among postpartum women and its associated factors during the early phase of COVID-19 outbreak: a time series study

BackgroundUnintended pregnancies can adversely affect maternal health, preventable through timely postpartum contraception. During the COVID-19 pandemic, family planning services were constrained by policies that curtailed outpatient visits. We investigated the prevalence of postpartum contraceptive initiation at King Chulalongkorn Memorial Hospital (KCMH) during January to June 2020, comparing with the same period in 2019, and identified factors associated with such initiation.MethodsWe reviewed the medical records of 4506 postpartum women who delivered at KCMH during the study period. Logistic regression was conducted to test the association between early COVID-19 phase deliveries and post-partum long acting reversible contraception (LARC) initiation including copper intrauterine devices, levonorgestrel intrauterine systems, contraceptive implants, and progestogen-only injectable contraceptives.ResultsA total of 3765 women (83.6%), of whom 1821 delivered during the pandemic and 1944 during the historical cohort period, were included in this study. The proportion of women who initiated non-permanent modern contraceptives at six weeks postpartum was comparable between the COVID-19 (73.4%) and historical cohort (75.3%) (p = 0.27) periods. The proportion of women who initiated LARC at six weeks postpartumwas comparable between the historical cohort period (22.5%) and the COVID-19 (19.7%) (p = 0.05) period. Accessing a six-week postpartum check-up was independently associated with LARC initiation, of which the adjusted odds ratio (OR) (95% confidence interval) was 3.01 (2.26 to 4.02).ConclusionsOur findings demonstrated that accessing postpartum care significantly associate with the use of LARC. The data suggest the strong influence of postpartum check-ups in facilitating the adoption of effective contraception, emphasizing the need for accessible postpartum care to sustain maternal health during health crises.

Basic host response parameters to classify mortality risk in COVID-19 and community-acquired pneumonia

Improved phenotyping in pneumonia is necessary to strengthen risk assessment. Via a feasible and multidimensional approach with basic parameters, we aimed to evaluate the effect of host response at admission on severity stratification in COVID-19 and community-acquired pneumonia (CAP). Three COVID-19 and one CAP multicenter cohorts including hospitalized patients were recruited. Three easily available variables reflecting different pathophysiologic mechanisms—immune, inflammation, and respiratory—were selected (absolute lymphocyte count [ALC], C-reactive protein [CRP] and, SpO2/FiO2). In-hospital mortality and intensive care unit (ICU) admission were analyzed as outcomes. A multivariable, penalized maximum likelihood logistic regression was performed with ALC (< 724 lymphocytes/mm3), CRP (> 60 mg/L), and, SpO2/FiO2 (< 450). A total of 1452, 1222 and 462 patients were included in the three COVID-19 and 1292 in the CAP cohort for the analysis. Mortality ranged between 4 and 32% (0 to 3 abnormal biomarkers) and 0–9% in SARS-CoV-2 pneumonia and CAP, respectively. In the first COVID-19 cohort, adjusted for age and sex, we observed an increased odds ratio for in-hospital mortality in COVID-19 with elevated biomarkers altered (OR 1.8, 3, and 6.3 with 1, 2, and 3 abnormal biomarkers, respectively). The model had an AUROC of 0.83. Comparable findings were found for ICU admission, with an AUROC of 0.76. These results were confirmed in the other COVID-19 cohorts Similar OR trends were reported in the CAP cohort; however, results were not statistically significant. Assessing the host response via accessible biomarkers is a simple and rapidly applicable approach for pneumonia.

COVID vs. non-COVID oncology patient cohorts: Demographics and cancer variables.

e23046 Background: This study aimed to compare demographics and cancer-specific variables in oncology patients hospitalized with (n = 551) and without COVID-19 (n = 3674) during the first year of the pandemic. Methods: We analyzed prospectively collected data from March 2020 to February 2021 at a major US cancer center, comparing age, sex, cancer category, race, metastasis, treatments within one month prior to admission, and smoking history. Results: The study found no significant difference in mean age between COVID and non-COVID cohorts (60.7% vs. 60.9%; p = 0.830). Significant differences (p = 0.002) in cancer categories were noted between COVID and non-COVID cohorts. Hematological cancers had the highest hospitalization rates in both groups (38.8% vs 29.2%). Statistically significant racial differences were observed between COVID and non-COVID cohorts (p &lt; 0.001). Whites had the highest hospitalization rates in both groups, yet COVID-related admissions were lower for Whites (COVID cohort: 51.2% vs non-COVID cohort: 61.9%) and Asians (COVID cohort: 2.7% vs non-COVID cohort: 5.9%) compared to non-COVID admissions, while higher for Blacks (COVID cohort: 15.4% vs non-COVID cohort: 14%) and Hispanics (COVID cohort: 28.3% vs non-COVID cohort: 15.7). Significant differences (p &lt; 0.001) were noted in metastasis prevalence between COVID and non-COVID hospitalizations, with rates of 81.3% and 86.0%, respectively. Conversely, non-metastatic cancer was more prevalent in COVID hospitalizations (18.1%) than in the non-COVID cohort (8.7%). In the COVID cohort, 30.5% received chemotherapy within one month before admission, compared to 43.8% in the non-COVID cohort, showing a significant difference in admission rates (p &lt; 0.001). Similarly, recent immunotherapy (8.0% vs. 10.9%) and recent surgery (3.6% vs. 6.6%) were associated with higher hospitalization rates in the non-COVID cohort (p = 0.046 and p = 0.010, respectively). We observed significant differences (p &lt; 0.001) in the smoking history of the COVID and. non-COVID cohorts. While 2.5% of COVID patients were current smokers, 5.4% of non-COVID patients were, more than double the COVID rate. In the COVID cohort, 36.3% were former smokers, slightly lower than the 37.6% in the non-COVID cohort. Additionally, 59.3% of COVID patients were never smokers, compared to 56.3% in the non-COVID group. Conclusions: COVID-related admissions were lower for Whites and Asians compared to non-COVID admissions, while higher for Blacks and Hispanics. Lower rates of metastasis were noted in COVID cohort. Lower rates of hospitalizations among patients who received chemotherapy, immunotherapy, and surgery were observed in the COVID cohort. The smoking prevalence was higher in the non-COVID group, former smoking rates were similar across cohorts, and a higher proportion of COVID patients were never smokers.

Discharge outcomes in COVID and non-COVID cohorts of hospitalized patients with cancer: A comparative analysis in the first year of the COVID-19 pandemic.

e23063 Background: This research aimed to assess and compare the discharge outcomes in two cohorts of hospitalized oncology patients – those with COVID-19 and those without COVID-19 in the initial year of COVID pandemic. Methods: This study compared the length of hospital stay, 30-day readmission, in-hospital mortality, death within 30 days of admission, and death within 90 days of admission between the COVID cohort and the non-COVID cohort, based on prospectively collected hospitalization data from March 2020 to February 2021 at a prominent US cancer center. Results: The study included 4,225 oncology patients, with 551 having COVID-19. Aged on average around 61, both cohorts showed similar gender distribution and were predominantly White or Caucasian, with the most common cancers being hematological. Patients in the COVID cohort experienced a significantly extended hospital stay with a mean length of 12.2 days versus 8.27 days for the non-COVID cohort (p &lt; 0.001). The median stay was also longer for the COVID cohort at 8 days [1, 103] compared to 5 days [1, 141] for the non-COVID cohort. The COVID cohort had a lower 30-day readmission rate post-discharge at 66.6% compared to 71.7% in the non-COVID cohort, with the difference being statistically significant (p = 0.015). Within the COVID cohort, a smaller proportion of patients were readmitted within 30 days of discharge (66.6%), as opposed to the non-COVID cohort (71.7%), with a p-value of 0.015. Although the COVID cohort experienced a higher rate of in-hospital mortality at 11.3% compared to 6.9% in the non-COVID cohort (p &lt; 0.001), there were no significant differences in the rates of death within 30 days of admission (COVID cohort: 25.6% vs. non-COVID cohort: 27.6%, p = 0.349) or within 90 days of admission (COVID cohort: 28.9% vs. non-COVID cohort: 31.7%, p = 0.195) between the two cohorts. Conclusions: Oncology patients with COVID-19 faced longer hospital stays and higher in-hospital mortality rates than those without COVID-19. However, the COVID-19 cohort had a lower rate of readmission within 30 days after discharge. Despite the greater severity of hospitalization for COVID-19 patients, the mortality rates 30 and 90 days post-admission did not significantly differ from those without COVID-19. These findings underscore the need for intensified care and monitoring of hospitalized oncology patients with COVID-19, while also acknowledging the comparable longer-term survival between the cohorts.

A Study on the Epidemiology of COVID-19-Related Guillain-Barré Syndrome in the United States.

Several neurological complications have been reported with COVID-19, including Guillain-Barré syndrome (GBS). We looked at incidence, baseline characteristics, and in-hospital outcomes of COVID-19-associated GBS in the United States. We conducted a retrospective analysis using the US National Inpatient Sample database to identify hospitalizations for COVID-19 and GBS, using International Classification of Disease, 10th Revision, codes G610 and G650 for GBS and U071 for COVID-19. The codes used in this study are listed in Supplemental Digital Content 1 (see e Appendix, http://links.lww.com/JCND/A69). In total, 13,705 GBS admissions were recorded nationwide in 2020; of these, 1155 (8.43%) were associated with COVID-19. The frequency of GBS in COVID-19 admissions was 0.07%, compared with 0.08% in non-COVID-19 admissions (P = 0.8166). COVID-19 cohort with GBS had higher utilization of invasive mechanical ventilation (20.8% vs. 11.8%, P < 0.001) in comparison with COVID-19 cohort without GBS. GBS admissions with COVID-19 exhibited significantly higher inpatient mortality (12.2% vs. 3%, P < 0.001) compared with GBS admissions without COVID-19. Our findings underscore GBS as a rare yet severe complication of COVID-19, highlighting a significant difference in mortality when compared with GBS not associated with COVID-19.

Epidemiologic Trends In Children With Toxicologic Exposures Requiring Intensive Care Before and During the COVID-19 Pandemic.

Pediatric poison exposures are a common reason for pediatric intensive care unit (PICU) -admission. The purpose of this study was to examine the exposure trends and patient outcomes in 2018-2019 compared with 2020-2021 amidst the COVID-19 pandemic. This was a retrospective cohort study of patients 18 years of age or younger with a suspected toxicologic exposure from January 2018 to March 2021. The primary endpoint was rate of PICU admissions between the 2 cohorts. Secondary endpoints included medical outcome stratified by severity, PICU length of stay, and need for mechanical ventilation. Our study included a total of 340 patients with median age 14.5 (IQR, 11.9-16.1) years. There was no significant difference in age, sex, or race between the 2 cohorts. The percentage of patients admitted to the PICU for poison exposures was significantly higher in the COVID-19 cohort compared with the pre-COVID-19 cohort (8.4% vs 3.7%, p < 0.01). Severity of medical outcomes differed between the groups; the COVID-19 cohort had more extreme clinical presentations of no effect or death (p < 0.01). No significant difference was found among the remaining secondary outcomes. Classes of substances ingested were comparable with baseline poison center data. Poisoning-related PICU admissions occurred at more than twice the pre-pandemic rate. This may emphasize the effect of the COVID-19 pandemic on pediatric access and exposure to poisons.

Unveiling the impact: Exploring thrombotic outcomes in hospitalized patients with COVID-19—Comparing those with and without a cancer diagnosis.

e23318 Background: There is a shared hypercoagulable association of COVID-19 and cancer, noting an increased risk of thromboembolic events (TEE)in both conditions. The current study focuses on patients with concurrent COVID-19 and underlying cancer and compares incidence of TEE and related outcomes in this complex intersection of acute viral infection and oncological challenges. Methods: In this retrospective cohort study, we examined data from the Charleston Area Medical Center’s (CAMC) COVID-19 Registry, involving 5,479 adult, symptomatic, PCR-positive COVID-19 hospitalized patients (3/1/2020 to 1/20/2024). Demographics, co-morbidities, lab values, treatments, and outcomes were assessed. Propensity score matching (3:1) non-cancer patients vs those with an active cancer diagnosis was undertaken using sex and age. SAS 9.4 was utilized for the analysis. The groups were compared using Chi-square/Fisher’s Exact tests for categorical variables and t-tests for continuous variables and a logistic regression modelling to determine differences in key variables, the incidence of thromboembolic events and other outcomes. Results: After propensity matching, 1,623 non-cancer and 427 active cancer patients were included. The incidence of venous thromboembolism (VTE) was higher in the active cancer group (9.42% vs 4.2%, P &lt; 0.001) with no significant differences in acute stroke. Intensive care unit (ICU) admissions, mechanical or non-invasive ventilation requirement, and mortality were not different although more patients with cancer were discharged to hospice (11.8% vs 3.3%, P &lt; 0.001). However, mean D-dimer results in both groups were &gt; 2.5 mg/L, it was not performed consistently. The active cancer group had greater frequencies of abnormal ferritin levels (59.1% vs 49.1%, P=0.01), and elevated procalcitonin levels &gt; 0.05 ng/mL (72.9% vs 60.6%, p &lt; 0.001). Among key treatments, remdesivir was used more frequently in cancer patients (41.4% vs 35.7%, P &lt; 0.01). In addition to the cancer diagnosis (OR = 1.729 95% CI [1.1-2.8] P =0.02), LOS &gt; / = 7days was also a predictor of TEE (OR= 1.825 95% CI [1.1-2.9] P &lt; 0.01). Conclusions: Symptomatic VTE rates in our COVID-19 and active cancer cohort align with published studies. Diligence in evaluation of D-dimer, early detection of TEE and adherence to published guidelines in prophylaxis and treatment is recommended.

Increased Incidence of Vestibular Disorders in Patients With SARS-CoV-2.

Determine the incidence of vestibular disorders in patients with SARS-CoV-2 compared to the control population. Retrospective. Clinical data in the National COVID Cohort Collaborative database (N3C). Deidentified patient data from the National COVID Cohort Collaborative database (N3C) were queried based on variant peak prevalence (untyped, alpha, delta, omicron 21K, and omicron 23A) from covariants.org to retrospectively analyze the incidence of vestibular disorders in patients with SARS-CoV-2 compared to control population, consisting of patients without documented evidence of COVID infection during the same period. Patients testing positive for COVID-19 were significantly more likely to have a vestibular disorder compared to the control population. Compared to control patients, the odds ratio of vestibular disorders was significantly elevated in patients with untyped (odds ratio [OR], 2.39; confidence intervals [CI], 2.29-2.50; P < 0.001), alpha (OR, 3.63; CI, 3.48-3.78; P < 0.001), delta (OR, 3.03; CI, 2.94-3.12; P < 0.001), omicron 21K variant (OR, 2.97; CI, 2.90-3.04; P < 0.001), and omicron 23A variant (OR, 8.80; CI, 8.35-9.27; P < 0.001). The incidence of vestibular disorders differed between COVID-19 variants and was significantly elevated in COVID-19-positive patients compared to the control population. These findings have implications for patient counseling and further research is needed to discern the long-term effects of these findings.