The Impact of the COVID Pandemic on Diverticulitis Surgery

Introduction: The COVID-19 pandemic disrupted maintenance healthcare and elective surgical volume, particularly for benign diseases, including diverticulitis. The study evaluates if the surgical management of diverticulitis was impacted by the pandemic. Method(s): All colectomies for diverticulitis in ACS-NSQIP between 2017-2020 were identified by CPT and ICD codes. Cases were divided into groups by the operation year and quarter variables. The first quarter of 2020 was excluded. The pre- COVID group included cases before 2020 and the post-COVID group included cases after the first quarter of 2020. Associations between groups and baseline demographics and postoperative outcomes were compared. Result(s): 46,839 colectomies were evaluated with 38,860 pre- COVID and 7,979 post-COVID. The groups were similar except for CHF(p=0.027) and ASA classification (p<0.001), which were higher post-COVID. However, pandemic cases were associated with significant markers of disease severity. Pandemic cases were more likely to have preoperative sepsis (p<0.001), wound class 4 (p<0.001), and emergency status (p<0.001). There was no difference in the rates of minimally invasive surgery (MIS) or conversion to open among MIS cases. There were also a higher percentage of Hartmann's procedures (p<0.001) post-COVID. However, there was no difference in mortality rates, length of stay, reoperation, open abdomen, readmission, reintubation, or prolonged intubation. There was an association between the pandemic and rates of postoperative pneumonia(p<0.001), ileus (p=0.003), and septic shock (p<0.001). Conclusion(s): During the first year of the pandemic diverticulitis surgeries were performed on sicker patients, more commonly emergencies, and Hartmann's procedures. However, these patients maintained comparable postoperative outcomes.

Diarrhea as an Independent Risk Factor for COVID-19 Severity and Inpatient Mortality

Introduction: Multiple meta-analyses have shown that over 15% patients with COVID-19 have at least one gastrointestinal complaint, most commonly diarrhea. The effects on the gastrointestinal system are thought to be mediated by the high expression of angiotensin-converting enzyme 2 (ACE2) and cellular serine proteases (TMPRSS2) in enterocytes, which cause altered intestinal permeability. The purpose of this study was to determine the incidence of diarrhea as it relates to COVID-19 infection and to determine if having concomitant diarrhea had a significant impact on disease course. Method(s): A retrospective chart review of 164,730 patients in a hospital system who were older than 18 years of age and had a positive SARS-CoV-2 test from March 2020 to February 2022 was completed. Diarrhea was determined using ICD code or patient's symptoms. Patients with confounding variables such as IBD, IBS, Celiac, Clostridium difficile, and pancreatic insufficiency were excluded. Demographic clinical characteristics and outcomes, including inpatient admission and mortality, were compared in patients with and without diarrhea. The Mann-Whitney test and Fisher's exact or Chi-square test was used for continuous and categorical variables respectively and multivariate logistic regression was used to evaluate for significant differences in disease outcome between the two groups. (Table) Results: Of the 164,730 patients included, 14,648 (8.89%) had diarrhea at the time of SARS-CoV-2. 6,748/33,464 (20.16%) of inpatient admissions were associated with diarrhea. On multivariate analysis, diarrhea was an independent risk factor for inpatient hospitalization (OR 2.39, CI 95% 2.28-2.51, P, 0.001) and inpatient mortality (OR 1.15, CI 96% 1.06-1.26, P= 0.001) after controlling for age, gender, race, comorbidities that could impact patient outcome, use of immunomodulators and outpatient antibiotics. Conclusion(s): These findings show that, even with controlling for comorbidities with COVID-19, diarrhea was an independent factor for predicting inpatient mortality and inpatient admission in general. Patients who had diarrhea and COVID-19 were sicker, having more comorbid conditions than those without diarrhea in our cohort. Attention should be given to not only respiratory complaints of COVID-19, but also gastrointestinal complaints, as they are an indicator of poor prognosis and mortality.

Insights Regarding Outcomes for Covid-19 Hospitalizations with Adult Congenital Heart Disease (Achd)

Background: As of December 2022, SARS-CoV-2 coronavirus resulted in over 6 million deaths worldwide.[1] It was realized early into the pandemic, that COVID-19 significantly impacts the Cardiovascular system. [2] Patients with pre-existing cardiovascular comorbidities were particularly at higher risk of adverse outcomes during their hospitalizations. [3] Similarly, it can be safe to assume patients with adult congenital heart disease (ACHD) should considered a high-risk population for the development of severe COVID infection with increased rates of significant cardiovascular complications. Objective(s): Based on this reasoning and the paucity of data available on this topic using a large database, we sought to investigate the outcomes of patients with ACHD who were admitted to the hospital with COVID-19. Method(s): The National Inpatient Sample database for 2020 was queried to identify adult hospitalizations with a primary diagnosis of COVID-19 and a secondary diagnosis of ACHD using International Classification of Diseases - 10 Clinical Modification (ICD-10-CM) codes. The primary outcome studied was inpatient mortality, while secondary outcomes included inpatient complications, mean length of stay (LOS), and total hospital charge (THC). Multivariate logistic and linear regression analyses were used to adjust for possible confounders and analyze the variables. Result(s): Out of 1,050,045 COVID-19 hospitalizations registered, 2,425 (0.23%) had ACHD as a secondary diagnosis. Encounters with ACHD who were hospitalized with COVID-19 had significantly higher adjusted odds of inpatient mortality (Adjusted Odds Ratio [aOR]: 1.4, [95% CI: 1.05-1.88], p=0.022), Longer LOS (Mean 2.4 days, [95% CI: 1.35-3.40], p <0.001), and higher Total Hospital Charges (Mean $53,000, [95% CI: 20811-85190], p <0.001). A Forrest plot (Figure 1) demonstrates a graphical representation of the multivariate analysis of the significant in-hospital complications when adjusted for patient demographics, comorbidities, and hospital characteristics. Conclusion(s): Among COVID-19 hospitalizations, those with a history of congenital heart diseases had significantly worse outcomes in terms of in-hospital mortality, sepsis;the need for endotracheal intubation, mechanical ventilation, and vasopressors;developing acute kidney injury and pulmonary embolism, in addition to the longer length of stay, and higher total hospital charges. [Formula presented]Copyright © 2023

Long-Term Hydroxychloroquine and Its Association with Covid-19 Infection, a Cohort Study from a South American Hospital

Objectives: We aimed at examining whether patients with rheumatological conditions receiving chronic hydroxychloroquine therapy are at a lower risk of developing SARS-CoV-2 infection than those not receiving hydroxychloroquine. Method(s): This historical cohort study included information of all patients aged 18 years or older with rheumatoid arthritis, systemic lupus erythematosus, or associated rheumatological conditions (based on International Classification of Diseases, 10th edition, diagnostic codes). A propensity score was calculated for each patient, and each patientwho was receiving hydroxychloroquine was matched to two patients who were not receiving hydroxychloroquine (controls). The primary endpoint was the proportion of patients with PCR-confirmed SARS-CoV-2 infection among those receiving chronic hydroxychloroquine versus the propensity-matched patients not receiving chronic hydroxychloroquine in 2021. Result(s): 322 patients receiving hydroxychloroquine and 645 patients not receiving hydroxychloroquine were included in the primary analysis. The incidence of active SARS-CoV-2 infections during the study period did not differ between patients receiving hydroxychloroquine and patients not receiving hydroxychloroquine ( [0 3%] vs 78 [0 4%] of 21406;odds ratio 0 79, 95% CI 0 52-1 20, p = 0 27). There were no significant differences in secondary outcomes between the two groups of patients who developed active SARS-CoV-2 infection. For all patients in the study, overall mortality was lower in the hydroxychloroquine group than in the group of patients who did not receive hydroxychloroquine (odds ratio hydroxychloroquine was not associated with the development of active SARS-CoV-2 infection (odds ratio 0 79, 95% CI 0 51-1 42) Conclusion(s): Hydroxychloroquine was not associated with a protective effect against SARS-CoV-2 infection in a large group of patients with rheumatological conditions.

Diagnosis of familial hypercholesterolemia: a work in progress

Purpose: An ICD-10 code for Familial Hyperchole sterolemia (FH), E78.01, became effective October 2016 following a proposal in 2013 to the ICD-10 Coordination and Maintenance Committee by the Family Heart Foundation. The code differentiated FH from other forms of elevated cholesterol, signaling the need for differential diagnosis of a condition in which management in the first two decades of life can substantially reduce the burden of aggressive atherosclerosis. This study aims to characterize the % of FH patients diagnosed with E78.01 in an expansive, real-world US dataset. Method(s): The Family Heart DatabaseTM includes diagnostic/ procedural/prescription data from claims and/or laboratory data for >300 million individuals from the US who were screened or treated for any form of cardiovascular risk. This analysis dataset includes 197 million people, including 22 million children, with diagnostic data from October 2016 through June 2020. The number of total (diagnosed + undiagnosed) FH patients within the dataset was estimated assuming an occurrence of 1:250 individuals. Patients with FH (E78.01) were counted if the diagnostic code was applied for a single in-patient claim or at least twice, >7 days apart, for an out-patient claim. Result(s): The number of patients diagnosed with FH using E78.01 has increased substantially since 2016. During 2017 and 2018, use of the code was brisk and likely included previously and newly diagnosed individuals. Diagnosis was reduced dramatically with the onset of the COVID-19 pandemic corresponding with the marked reduction of in-person clinic visits and near halting of preventive care. By June 2020, 246,689 patients were diagnosed with FH representing 31.3% of the estimated total (diagnosed + undiagnosed) FH population of 787,886 within the dataset. Compared with all individuals in the analysis dataset, those diagnosed with FH were substantially more likely to have atherosclerotic cardiovascular disease (40% versus 8%). Conclusion(s): Prior to 2016, an estimated <1% of patients with FH in the US were diagnosed, but without an ICD code it was impossible to track. The number of patients diagnosed with FH (E78.01) has increased substantially since 2016. Within this large, real-world dataset of Americans, 31.3% of the estimated FH population had been diagnosed as of June 2020. However, despite clear screening guidelines, effective therapies, and classification of FH as a public health threat by the World Health Organization, most of the FH population remains undiagnosed, leaving these genetically vulnerable individuals at high risk for premature cardiovascular disease.

Cerebral Venous Sinus Thrombosis Risk Factors, Treatments, and Sequelae: 2011-2019

Introduction: Cerebral venous sinus thrombosis (CVST) is a rare but potentially debilitating thrombosis affecting 3-4 cases per million adults in the United States. Risk factors are thought similar to venous thrombosis, but there is little epidemiologic data corroborating this assertion. Concern about a possible association between the Janssen (Johnson and Johnson) and Oxford-AztraZenaca COVID-19 vaccines and cases of CVST resulted in increased global attention to this condition. Thus, large epidemiological assessment of the risk factors, treatment and outcomes of CVST are needed. Objective(s): Estimate the distributions of risk factors antecedent to CVST diagnosis, report CVST treatments in clinical practice, and potential sequelae of CVST in a large retrospective cohort of adults with CVST in the United States. Method(s): MarketScan Commercial and Medicare Supplemental administrative databases were employed to assess CVST diagnosed between 2011 and 2019 in the U.S. Validated International Classification of Disease (ICD) codes and receipt of an outpatient anticoagulant (either oral or subcutaneous anticoagulant) prescription within 30 days of the ICD code identified incident CVST. Antecedent clinical characteristics, treatments, and sequelae of CVST were identified using inpatient, outpatient, and prescription data. For outcomes, proportions and incidence with 95% confidence intervals (CIs) were calculated, stratified by sex. Result(s): We identified 1,869 CVST patients. Of these 1,314 (70%) were female, with 200 (10%) events identified as a pregnancy-related CVST. The average age was 41 years for females and 48 years for men. Among women, 24.7% were on hormonal therapy (oral contraceptive, estrogen, and progestin) prior to diagnosis. Men had a higher prevalence of comorbidities, such as diabetes (15% men vs. 9% women) and cancer (19% men vs. 10% women). Oral anticoagulant (OAC) use was the most common treatment for CVST in both men (88%) and women (85%) and did not vary by sex. Use of procedures to treat CVST, optic nerve fenestration and catheter directed thrombolysis, were 0.5% and 4.1%, respectively. The most common sequela after CVST was incidence of intracranial hypertension (Incidence: 4.2 per 100 person-years;95% CI: 3.3, 5.1) and palliedema was rare. Conclusion(s): Overall, a majority of CVST patients were women of reproductive age. Our findings suggest a potential association with both endogenous (pregnancy) and exogenous (oral contraceptives, HRT) hormones which needs further study. In our sample, CVST was managed with oral anticoagulants, regardless of sex, and intracranial hypertension was elevated following CVST. This large claims-based analysis is a descriptive insight into the risk factors and management of CVST, a rare and debilitating condition.

Cause-of-death statistics in 2020 in the Republic of Korea.

Background: This study analyzed the causes of death in the Korean population in 2020. Method(s): Cause-of-death data for 2020 from Statistics Korea were examined based on the Korean Standard Classification of Diseases and Causes of Death, 7th revision and the International Statistical Classification of Diseases and Related Health Problems, 10th revision. Result(s): In total, 304,948 deaths occurred, reflecting an increase of 9,838 (3.3%) from 2019. The crude death rate (the number of deaths per 100,000 people) was 593.9, corresponding to an increase of 19.0 (3.3%) from 2019. The 10 leading causes of death, in descending order, were malignant neoplasms, heart diseases, pneumonia, cerebrovascular diseases, intentional self-harm, diabetes mellitus, Alzheimer disease, liver diseases, hypertensive diseases, and sepsis. Cancer accounted for 27.0% of deaths. Within the category of malignant neoplasms, the top 5 leading organs of involvement were the lung, liver, colon, stomach, and pancreas. Sepsis was included in the 10 leading causes of death for the first time. Mortality due to pneumonia decreased to 43.3 (per 100,000 people) from 45.1 in 2019. The number of deaths due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was 950, of which 54.5% were in people aged 80 or older. Conclusion(s): These changes reflect the continuing increase in deaths due to diseases of old age, including sepsis. The decrease in deaths due to pneumonia may have been due to protective measures against SARS-CoV-2. With the concomitant decrease in fertility, 2020 became the first year in which Korea's natural total population decreased.Copyright © Korean Medical Association.

Lymphocyte Trajectories and Outcomes of Covid-19 Infection in People with Hiv

Background: Studies have shown that lymphopenia and a decreased CD4/ CD8 ratio are correlated with the severity of COVID-19 infections. As people with HIV (PWH) can have altered CD4/CD8 ratios at baseline, this study examined the relationship between lymphocyte and T-cell subsets with COVID-19 disease outcomes among PWH. Method(s): This retrospective study included adult PWH (identified by HIV ICD codes, HIV RNA or antibody results, or antiretroviral therapy use excluding preexposure prophylaxis) in the Optum COVID-19 EHR database with positive SARSCoV- 2 PCR or antigen tests from February 2020 to December 2021. Outcomes included 30-day hospitalization, ICU stay, mechanical ventilation, and death from COVID-19. Absolute lymphocyte counts and percent and CD4:CD8 ratios were collected prior to SARS-CoV-2 positivity (baseline) and then weekly for four weeks post-SARS-CoV-2 positivity. We examined lymphocyte trajectories in PWH who had available data at all time points, and we compared changes in counts and percentages at each week post-SARS-CoV-2 to baseline values, using Wilcoxon rank sum test. Result(s): Of a total of 4,525 PWH who tested positive for SARS-CoV-2, 102 PWH had available lymphocyte counts at all study time points. Compared to non-hospitalized PWH (n=38), hospitalized PWH (n=64) and PWH who were in the ICU (n=32) or ventilator dependent (n=27) experienced a larger drop in lymphocyte percentage in the first two weeks post-SARS-CoV-2 diagnosis with only a partial recovery in subsequent weeks. In patients who died (n=19), lymphocyte percentage recovered even more slowly. Hospitalized PWH, as compared to non-hospitalized PWH, had a significant decrease in lymphocyte percentage post-SARS-CoV-2 infection in the first week (-0.19 vs -0.05;< 0.001), second week (-0.23 vs -0.02;< 0.001), third week (-0.20 vs 0.00;< 0.001), and fourth week (-0.10 vs 0.00;0.001), a trend seen in the ICU, mechanically ventilated, and deceased groups as well (Table 1). By the first week, CD4/CD8 ratio in COVID-19 positive patients was lower in the deceased (-0.18 vs 0.00;p=0.4), ventilator dependent (-0.15 vs 0.00;p=0.2), and ICU (-0.15 vs 0.00;p=0.4) groups. Conclusion(s): Our study showed that not only is lymphopenia a marker of COVID-19 disease severity in PWH but also a failure of lymphocyte percentage recovery is associated with worse outcomes. There was also a trend towards worse outcomes associated with a lower CD4/CD8 ratio in the first week after COVID-19 infection. (Figure Presented).

Classification and coding for Coronavirus disease 2019 by international classification ofdiseases: Updates and interpretation.

In the context of coronavirus disease 2019 (COVID-19), the leverage of specific codes of international classification of diseases(ICD) will substantially help standardize the process of data collection, classification and statistics of COVID-19-related conditions, thus facilitating the rapid research and development of diagnosis and treatment, dynamic monitoring of epidemic trend, as well as effectiveness evaluation of preventive and therapeutic measures taken in the fight against COVID-19. This review summarized and interpreted the latest ICD-10 and ICD-11 classification standards of COVID-19 related conditions and aimed to provide reference to improve and enrich the localized application of ICD coding standards for COVID-19 related conditions in China.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.

Hospitalizations for Unspecified Mycoses in a Large Administrative Data Set and Implications for Fungal Disease Burden Estimates, United States, 2019-2021.

Fungal diseases are frequently coded as "unspecified mycoses" in data sets used to estimate disease burden. In a large administrative database, 50.9% of unspecified mycosis hospitalizations during 2019-2021 had positive fungal laboratory testing, most commonly Candida (79.1%), highlighting a potential need for improved coding practices and greater fungal laboratory testing.

Epidemiology of Pemphigus.

Pemphigus is an epidemiologically heterogeneous group of autoimmune bullous diseases comprising pemphigus vulgaris (PV), pemphigus foliaceus, paraneoplastic pemphigus, IgA pemphigus, and pemphigus herpetiformis. Recently, our knowledge about the frequency of pemphigus, which is highly variable between different populations, has considerably expanded, and the first non-HLA genes associated with PV have been identified. In addition, a variety of comorbidities, including other autoimmune diseases, hematological malignancies, and psoriasis, have been described in this variant. Here, initial data about the impact of COVID-19 on this fragile patient population are discussed and perspectives for future epidemiological studies are outlined.

ICD2Vec: Mathematical representation of diseases.

BACKGROUND: The International Classification of Diseases (ICD) codes represent the global standard for reporting disease conditions. The current ICD codes connote direct human-defined relationships among diseases in a hierarchical tree structure. Representing the ICD codes as mathematical vectors helps to capture nonlinear relationships in medical ontologies across diseases. METHODS: We propose a universally applicable framework called "ICD2Vec" designed to provide mathematical representations of diseases by encoding corresponding information. First, we present the arithmetical and semantic relationships between diseases by mapping composite vectors for symptoms or diseases to the most similar ICD codes. Second, we investigated the validity of ICD2Vec by comparing the biological relationships and cosine similarities among the vectorized ICD codes. Third, we propose a new risk score called IRIS, derived from ICD2Vec, and demonstrate its clinical utility with large cohorts from the UK and South Korea. RESULTS: Semantic compositionality was qualitatively confirmed between descriptions of symptoms and ICD2Vec. For example, the diseases most similar to COVID-19 were found to be the common cold (ICD-10: J00), unspecified viral hemorrhagic fever (ICD-10: A99), and smallpox (ICD-10: B03). We show the significant associations between the cosine similarities derived from ICD2Vec and the biological relationships using disease-to-disease pairs. Furthermore, we observed significant adjusted hazard ratios (HR) and area under the receiver operating characteristics (AUROC) between IRIS and risks for eight diseases. For instance, the higher IRIS for coronary artery disease (CAD) can be the higher probability for the incidence of CAD (HR: 2.15 [95% CI 2.02-2.28] and AUROC: 0.587 [95% CI 0.583-0.591]). We identified individuals at substantially increased risk of CAD using IRIS and 10-year atherosclerotic cardiovascular disease risk (adjusted HR: 4.26 [95% CI 3.59-5.05]). CONCLUSIONS: ICD2Vec, a proposed universal framework for converting qualitatively measured ICD codes into quantitative vectors containing semantic relationships between diseases, exhibited a significant correlation with actual biological significance. In addition, the IRIS was a significant predictor of major diseases in a prospective study using two large-scale datasets. Based on this clinical validity and utility evidence, we suggest that publicly available ICD2Vec can be used in diverse research and clinical practices and has important clinical implications.

Trends of Maternal Deaths in a Tertiary Care Hospital of Southern India in the Pre-COVID-19 Era: A 10-Year Retrospective Study

Background: The current United Nations sustainable development goal 3 sets to reduce maternal mortality to less than 70 per 100 000 live births by 2030. To monitor whether India is on track to attaining sustainable development goals, it is essential to routinely assess trends of health indicators. Objective(s): This study was conducted to assess trends of maternal mortality and cause-specific maternal death in tertiary care hospitals in Southern India. Method(s): This is a retrospective study of hospital records and death summaries of all maternal deaths between January 1, 2009, and December 31, 2018, at the tertiary care hospital in Southern India. The demographic, clinical, and delivery details of all the maternal deaths were collected. Causes of maternal deaths were classified as direct, indirect, and nonspecific. To observe trends of maternal death, the maternal mortality ratio was calculated for each year, and Pearson's chi-square test was used. Result(s): Maternal mortality ratio was 555/100000 and had a decreasing trend from its highest in 2010 of 1230/100000 to its lowest of 229/100000 in 2017 (t = 7.71 p = 0.02). The majority of women who died were aged 21-35 years, resided in rural, were primigravidae, and had operative delivery. Most of the maternal deaths had been referred to our facility (90.8%) from other healthcare units. Obstetric hemorrhage (27.8%) and puerperal sepsis (37.7%) among direct causes;H1N1 pneumonia (34.8%) among indirect causes were the major causes of maternal death. The number of maternal deaths due to sepsis increased from the beginning until the end of the study from 10% to 50% (t = 5.9, p = 0.01). On the contrary, there was a decline in maternal deaths due to obstetric hemorrhage from 50% to 25% (t = 4.2, p = 0.03). Conclusion(s): Although the maternal mortality ratio has reduced over the years, sepsis was an important cause of maternal deaths.Copyright © 2023 Bentham Science Publishers.

Temporal Trend in Mortality from Covid-19 Associated with Cardiovascular Disease

Background Coronavirus disease 2019 (COVID-19) mortality remains high in those with cardiovascular disease (CVD). The temporal trend in higher COVID-19 mortality due to CVD has public health implications. We assessed the association between CVD and COVID-19 mortality throughout the COVID-19 pandemic. Methods We retrospectively studied all patients who received care for COVID-19 at Rush University System for Health during the pandemic (divided into 7 waves based on predominant virus variants and vaccine rollouts). CVD was defined as congestive heart failure (CHF), myocardial infarction (MI), cerebrovascular or peripheral vascular disease (ascertained by ICD codes). Using multivariable logistic regression, we assessed independent associations of COVID-19 mortality with age, sex, race, and 17 comorbidities in the Charlson comorbidity index, overall and stratified by pandemic waves. Results Of 43876 patients (mean age 40, 56% female, 14% with CVD), 1032 (2%) died from COVID-19 between March 2020 and August 2022. Adjusted for covariables, mortality was 3.2 times as likely in those with CVD as those without (OR=3.2, 95%CI 2.7-3.9;p<0.001). There was a trend toward increasing mortality associated with co-existing CVD as pandemic progressed to later waves (where Delta and Omicron were predominant), particularly in those with CHF or MI (Figure). Conclusion We found that COVID-19 mortality associated with co-existing CVD (particularly CHF and MI) increased temporally throughout the pandemic. [Formula presented]Copyright © 2023 American College of Cardiology Foundation

A comparative epidemiology model for understanding mental morbidity and planning health system response to the COVID-19 pandemic

Introduction: This particular coronavirus disease is a pandemic giving rise to great global affliction and uncertainty, even among those who have dedicated their lives to health care or the study of disease, or both. Notwithstanding those directly affected, the lives of all people have been turned upside down. Each person has to cope with her or his personal situation and a story is taking shape for everyone on earth. Coronavirus disease (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 virus, the source of the 2020 pandemic. This paper contains brief highlights from a duplicable PubMed search of the COVID-19 literature published from January 1 to March 31, 2020, as well as a duplicable search of past influenza-related publications. Excerpts from select papers are highlighted. The main focus of this paper is a descriptive analysis of influenza and other respiratory viruses based on a 16-year population-based dataset. In addition, the paper includes analyses based on the presence or absence of mental disorder (MD) in relation to influenza and all other respiratory viruses. Methods: The investigation is descriptive and exploratory in nature. Employing a case-comparison design, a 16-year population-based dataset was analyzed to both understand the present and plan for the future. While not all viral infections are equal, this paper focuses on system responses by describing the epidemiology of respiratory viruses, such as influenza. Influenza is established in the global population and has caused epidemics in the past. Where possible direct comparisons are made between COVID-19, influenza, and other respiratory viruses. Results: Those with MD had a higher rate of viral infection per 100,000 capita compared to those with the viral infection and no MD. Further, the postviral infection MD rate was not higher compared to the MD per capita rate before viral infection. The postinfluenza rate of MD among those who were without mental disorder before influenza represents an estimate of postinfection mental health burden. Conclusions: In summary, those with preinfluenza MD are at greater risk for viral infection. Further, while the postviral infection MD rate was not higher compared to the MD per capita rate before viral infection, this independent estimate may inform the degree to which services may need to undergo a sustained increase to address the bio psychosocial needs of each served population were COVID-19 to persist and become established in the global population. © 2023 Journal of Education and Health Promotion.

The Impact of the COVID-19 Pandemic on Breast Cancer Diagnoses in San Antonio, TX

Introduction: Breast cancer is the most frequently diagnosed cancer and the second leading cause of cancer death in women in the United States. The significant advances in care over the last decades are largely attributable to early detection and treatment. The pre-COVID-19 pandemic 5year survival rate of breast cancer was in the range of 90%, however, there has been public concern that the pandemic has led to delayed diagnosis. The objective of this study was to determine if patients diagnosed during the pandemic had more advanced breast cancer at presentation compared to those diagnosed prior. Method(s): This is a retrospective study of patients with an ICD code for Breast Cancer seen within the University of Texas Health San Antonio MD Anderson Cancer Center between 1/1/2018 and 12/31/2021. Data abstractors collected information on gender, age, race, ethnicity, funding, screening mammogram dates, date of cancer diagnosis, stage at diagnosis, and treatment. Those diagnosed before 1/1/2018 or that received initial treatment outside our institution were excluded from the analysis. Pearson's Chi-squared and logistic regression tests were used to determine the relationship between time and stage at diagnosis. The timeline was divided into three periods: from 01/01/2018 to 03/31/2020 as the pre-COVID era, from 04/01/2020 to 12/31/2020 as the lockdown period, and from 01/01/2021 to the present as the post-vaccine era. Result(s): A total of 696 patients with breast cancer were included. There was a significant statistical difference between the cancer stage at diagnosis in the pre-COVID-19 era compared to the lockdown period and the post-vaccine era (p= 0.003, table 1). Therefore, patients diagnosed after the beginning of lockdown were more likely to have more advanced cancer as time progressed. The odds ratio for Tis stage was 0.38 (95% CI: 0.23-0.60;P < 0.001) in the post-vaccine era compared to the pre-COVID era. The OR for Tis stage was not statistically significant (OR, 0.68;95% CI: 0.421.10;P < 0.12) when comparing the lockdown period to the pre-COVID era. Conclusion(s): Patients diagnosed with breast cancer in the COVID-19 pandemic were more likely to present with more advanced disease at diagnosis compared to those diagnosed in the pre-COVID19 era confirming our hypothesis. The OR of presenting with Tis disease when diagnosed during the post-vaccine compared to the pre-COVID-19 era was 0.38, however, this was not seen when comparing the lockdown period to the pre-pandemic era. We believe this difference was not significant because delays in cancer care may take months to years to take full effect. (Table Presented).

Epidemiology and Disease Burden of Alcohol Associated Liver Disease.

Consumption of alcohol in excess leads to substantial medical, economic, and societal burdens. Approximately 5.3% of all global deaths may be attributed to alcohol consumption. Moreover, the burden of alcohol associated liver disease (ALD) accounts for 5.1% of all disease and injury worldwide. Alcohol use disorder (AUD) affects men more than women globally with significant years of life loss to disability in low, middle and well-developed countries. Precise data on global estimates of alcohol related steatosis, alcohol related hepatitis, and alcohol related cirrhosis have been challenging to obtain. In the United States (US), alcohol related steatosis has been estimated at 4.3% based on NHANES data which has remained stable over 14 years. However, alcohol-related fibrotic liver disease has increased over the same period. In those with AUD, the prevalence of alcohol related hepatitis has been estimated at 10-35%. Globally, the prevalence of alcohol-associated cirrhosis has been estimated at 23.6 million individuals for compensated cirrhosis and 2.46 million for those with decompensated cirrhosis. The contribution of ALD to global mortality and disease burden of liver related deaths is substantial. In 2016 liver disease related to AUD contributed to 50% of the estimated liver disease deaths for age groups 15 years and above. Data from the US report high cost burdens associated with those admitted with alcohol-related liver complications. Finally, the recent COVID-19 pandemic has been associated with marked increase in alcohol consumption worldwide and will likely increase the burden of ALD.

Associations Between Gastrointestinal Symptoms and COVID-19 Severity Outcomes Based on a Propensity Score-Weighted Analysis of a Nationwide Cohort.

Background and Aims: Gastrointestinal (GI) symptoms are well-recognized manifestations of coronavirus disease 2019 (COVID-19). Our primary objective was to evaluate the association between GI symptoms and COVID-19 severity. Methods: In this nationwide cohort of US veterans, we evaluated GI symptoms (nausea/vomiting/diarrhea) reported 30 days before and including the date of positive SARS-CoV-2 testing (March 1, 2020, to February 20, 2021). All patients had ≥1 year of prior baseline data and ≥60 days follow-up relative to the test date. We used propensity score (PS)-weighting to balance covariates in patients with vs without GI symptoms. The primary composite outcome was severe COVID-19, defined as hospital admission, intensive care unit admission, mechanical ventilation, or death within 60 days of positive testing. Results: Of 218,045 SARS-CoV-2 positive patients, 29,257 (13.4%) had GI symptoms. After PS weighting, all covariates were balanced. In the PS-weighted cohort, patients with vs without GI symptoms had severe COVID-19 more often (29.0% vs 17.1%; P < .001). When restricted to hospitalized patients (14.9%; n=32,430), patients with GI symptoms had similar frequencies of intensive care unit admission and mechanical ventilation compared with patients without symptoms. There was a significant age interaction; among hospitalized patients aged ≥70 years, lower COVID-19-associated mortality was observed in patients with vs without GI symptoms, even after accounting for COVID-19-specific medical treatments. Conclusion: In the largest integrated US health care system, SARS-CoV-2-positive patients with GI symptoms experienced severe COVID-19 outcomes more often than those without symptoms. Additional research on COVID-19-associated GI symptoms may inform preventive efforts and interventions to reduce severe COVID-19.

IMPACT OF DEMENTIA AS AN EARLY MORTALITY RISK FACTOR AMONG DECEASED PATIENTS WITH COVID-19

SESSION TITLE: COVID-19: Other Considerations in Management SESSION TYPE: Original Investigations PRESENTED ON: 10/18/2022 02:45 pm - 03:45 pm PURPOSE: In the context of COVID-19, dementia is a well-established risk factor for COVID-19 mortality compared to patients without dementia. To the date, however, there is limited understanding on how a preexisting dementia diagnosis may impact time to death following COVID-19 infection. Of note, identification of risk factors for earlier versus later mortality has the potential to influence treatment and hospice care decisions. Therefore, our aim was to investigate if Veterans with preexisting dementia experienced a longer time from COVID-19 diagnosis to death (all-cause mortality) compared to those without dementia who died of COVID-19. METHODS: We conducted a retrospective, cross-sectional chart review study utilizing data collected at the South Texas Veteran Health Care System from April 2020 to December 2021. Participants comprised deceased Veterans from all-cause mortality following COVID-19 infection, both with and without a preexisting dementia diagnosis in the 5 years prior to COVID-19 diagnosis. We conducted a univariate analysis of covariance, controlling for patient age, to investigate if days from COVID-19 diagnosis to death differed between patients with and without a preexisting dementia diagnosis. RESULTS: A total of N= 382 deceased subjects from all-cause mortality infected with COVID-19 were found in our data base, with a mean age of 73.74 years (SD = 12.33). The majority (64.65%;n = 247) did not have dementia, while 35 % (n = 135) had a preexisting dementia diagnosis in their medical record. Results indicated that number of days from COVID-19 diagnosis to death did not differ (F(1, 379) = 0.02, p = ns) between deceased subjects with dementia (M = 74.6 days, SD = 81.0) and without dementia (M = 75.6, SD = 93.6), controlling for patient age. Patient age was nonsignificant in the model (F(1,379) = 0.44, p = ns). CONCLUSIONS: Among patients deceased for all-cause mortality with COVID-19 infection, results did not indicate a significant difference in time to death following COVID-19 diagnosis between patients with preexisting dementia or without, controlling for age. Although dementia is an established risk factor for COVID-19 related death, it is likely one piece of a complex puzzle in terms of predicting earlier versus later mortality. Future research is needed to identify potential moderators of illness trajectory prior to death among patients following a COVID-19 diagnosis. CLINICAL IMPLICATIONS: Further studies are needed on this field. Limitations of our study were abscense of subgroups for different severity dementia classification, the diagnosis of COVD-19 for our data base was made based on the day an ICD code was entered on the subject’s chart, rather than physician diagnosis, patient’s symptoms starting day, or previous outside COVID-19 tests. Moreover, we didn’t account for other comorbidities, and most patients were male. DISCLOSURES: No relevant relationships by Lisa Kilpela No relevant relationships by Michael Mader No relevant relationships by Onachi Ofoma No relevant relationships by Carlos Perez Ruiz No relevant relationships by Marcos Restrepo No relevant relationships by Sandra Sanchez-Reilly