Comorbidity Factors Research Articles

Interplay between Comorbidities and Long COVID: Challenges and Multidisciplinary Approaches.

Long COVID, a name often given to the persistent symptoms following acute SARS-CoV-2 infection, poses a multifaceted challenge for health. This review explores the intrinsic relationship between comorbidities and autoimmune responses in shaping the trajectory of long COVID. Autoantibodies have emerged as significant players in COVID-19 pathophysiology, with implications for disease severity and progression. Studies show immune dysregulation persisting months after infection, marked by activated innate immune cells and high cytokine levels. The presence of autoantibodies against various autoantigens suggests their potential as comorbid factors in long COVID. Additionally, the formation of immune complexes may lead to severe disease progression, highlighting the urgency for early detection and intervention. Furthermore, long COVID is highly linked to cardiovascular complications and neurological symptoms, posing challenges in diagnosis and management. Multidisciplinary approaches, including vaccination, tailored rehabilitation, and pharmacological interventions, are used for mitigating long COVID's burden. However, numerous challenges persist, from evolving diagnostic criteria to addressing the psychosocial impact and predicting disease outcomes. Leveraging AI-based applications holds promise in enhancing patient management and improving our understanding of long COVID. As research continues to unfold, unravelling the complexities of long COVID remains paramount for effective intervention and patient care.

Neurovascular coupling, functional connectivity, and cerebrovascular endothelial extracellular vesicles as biomarkers of mild cognitive impairment.

Mild cognitive impairment (MCI) is a prodromal stage of dementia. Understanding the mechanistic changes from healthy aging to MCI is critical for comprehending disease progression and enabling preventative intervention. Patients with MCI and age-matched controls (CN) were administered cognitive tasks during functional near-infrared spectroscopy (fNIRS) recording, and changes in plasma levels of extracellular vesicles (EVs) were assessed using small-particle flow cytometry. Neurovascular coupling (NVC) and functional connectivity (FC) were decreased in MCI compared to CN, prominently in the left-dorsolateral prefrontal cortex (LDLPFC). We observed an increased ratio of cerebrovascular endothelial EVs (CEEVs) to total endothelial EVs in patients with MCI compared to CN, correlating with structural MRI small vessel ischemic damage in MCI. LDLPFC NVC, CEEV ratio, and LDLPFC FC had the highest feature importance in the random Forest group classification. NVC, CEEVs, and FC predict MCI diagnosis, indicating their potential as markers for MCI cerebrovascular pathology. Neurovascular coupling (NVC) is impaired in mild cognitive impairment (MCI). Functional connectivity (FC) compensation mechanism is lost in MCI. Cerebrovascular endothelial extracellular vesicles (CEEVs) are increased in MCI. CEEV load strongly associates with cerebral small vessel ischemic lesions in MCI. NVC, CEEVs, and FC predict MCI diagnosis over demographic and comorbidity factors.

Seroprevalence of SARS-CoV-2 Antibodies and Associated Factors in Bamako, Mali: A Population-Based Cross-Sectional Study in September 2022.

The sero-epidemiological characteristics of SARS-CoV-2 infections in Mali are not yet well understood. This study assessed SARS-CoV-2 antibody seroprevalence and factors associated with antibody responses in the general population of Bamako, the capital city and epicenter of COVID-19, to assess the magnitude of the pandemic and contribute to control strategy improvements in Mali. A cross-sectional survey was conducted in September 2022 to collect sociodemographic information, clinical characteristics, comorbid factors, and blood samples. ELISA was performed to determine anti-Spike (anti-S) and anti-RBD antibody levels. A total of 3601 participants were enrolled in REDCap. R-Studio was used for the statistical analysis. The chi-squared (χ2) test was used to compare the proportions across different groups. Logistic regression models were used to elucidate factors associated with antibody responses. The sex ratio for female-to-male was 3.6:1. The most representative groups were the 20-29-year-olds (28.9%, n = 1043) and the 30-39-year-olds (26.9%, n = 967). The COVID-19 vaccine coverage among the participants was 35.8%, with vaccines from Covishield AstraZeneca (13.4%), Johnson & Johnson (16.7%), Sinovac (3.9%), and BioNTech Pfizer (1.8%). Overall, S protein and RBD antibody seroprevalences were remarkably high in the study population (98% and 97%, respectively). Factors such as youth (1-9 years old) and male sex were associated with lower SARS-CoV-2 antibody responses, whereas COVID-19 vaccinations were associated with increased antibody responses. This serosurvey demonstrated the high seroprevalence of SARS-CoV-2 antibodies and highlighted the factors influencing antibody responses, while clearly underlining an underestimation of the pandemic in Mali.

The impact of metabolic syndrome on short term radical cystectomy complications

PurposeRadical cystectomy is a highly morbid procedure with short term perioperative complications rates cited to be as high as 60%. Short term perioperative complications have been demonstrated to be more frequent in underweight and overweight patients. We sought to evaluate the impact of metabolic syndrome on surgical outcomes. Materials and methodsWe identified 19,071 eligible patients who underwent radical cystectomy for nonmetastatic bladder cancer using the American College of Surgeons National Surgical Quality Improvement Program database between the years 2014 to 2021. The primary exposure was the presence of metabolic syndrome (body mass index >30, hypertension, diabetes) and included 1,566 patients. Our primary outcome was the development of a post operative surgical complication with secondary outcomes of the impact on length of stay, return to operating room, readmission, and 30 day mortality. ResultsMetabolic syndrome was associated with an increased rate of complications following radical cystectomy (P < 0.001). Complications were demonstrated in 68% of patients with metabolic syndrome in comparison to 60% of those without. Following multivariable adjustment for relevant demographic, comorbidity, and treatment factors, compared to patients without metabolic syndrome, patients with metabolic syndrome were significantly more likely to experience a complication in the 30 days following cystectomy. Among the secondary outcomes, on multivariable analysis significant differences were found in the risk of readmission and extended length of stay. Critically, the risk of 30 day morbidity was associated with a 1.8 fold increase in those with metabolic syndrome. ConclusionsMetabolic syndrome demonstrates significantly worse perioperative outcomes following radical cystectomy for bladder cancer.

Prevalence and pattern of multimorbidity in China: a cross-sectional study of 224,142 adults over 60 years old.

To examine the prevalence and potential risk factors of multimorbidity among older adult in China. In addition, we investigated the pattern of multimorbidity. This study is based on data from the fourth Sample Survey of the Aged Population in Urban and Rural China (SSAPUR) in 2015, a comprehensive survey of individuals aged 60 years or older in China. We calculated baseline data and prevalence rates for comorbidities, stratified by household registration, age, sex, education, exercise, and health insurance. Univariate and multivariate logistic regression analyses were conducted to identify potential risk factors for comorbidities. Furthermore, we determined the prevalence rates for the three most frequent disease combinations. A total of 215,040 participants were included in our analysis. The prevalence of multimorbidity was 50.5% among the older adult in China. The prevalence rate was slightly higher in rural areas than in urban areas, with rates of 51.5 and 49.6%, respectively (p < 0.001). Moreover, the prevalence rate was higher in females than in males, with rates of 55.2 and 45.3%, respectively (p < 0.001). Multivariate logistic regression analysis revealed that individuals aged 70-79 years (OR:1.40, 95% CI: 1.38-1.43, p < 0.001) and over 80 years (OR:1.41, 95% CI: 1.38-1.45, p < 0.001) had a higher prevalence of multimorbidity than those aged 60-69 years. The most prevalent pair of comorbidities was hypertension and osteoarthropathy, with 19.6% of the participants having these two conditions, accounting for 5.4% of the total participants. Our findings indicate a high prevalence of multimorbidity among the older adult in China. Increased expenditure on preventive health care, popularization of general medicine and popular medical education may be adopted by the Government to cope with the high prevalence of multimorbidity.

BIDIRECTIONAL INTERACTION OF BLOOD GLUCOSE AND MENTAL STATUS AND ITS ROLE IN DEVELOPING DIABETES MELLITUS AND PSYCHIATRIC DISORDERS – SYSTEMATIC REVIEW

Blood glucose concentration in certain situations affects current mental status. Anxiety occurring during hunger or lack of concentration associated with hypoglycemia are well-known phenomenon. Variations of glucose levels may also present a long-term impact on mental status and mental health. Moreover, impaired mental status leads to neglecting health-promoting life choices in some individuals, while psychiatric disorders may contribute much more to the development of metabolic diseases. Aims: The aim of this review is to assess the current state of knowledge about the bidirectional interaction of blood glucose levels, including its fluctuations and management, and mental status. Methods: In our publication we used scientific sources such as publications and textbooks. Results: Studies show the most significant correlation between diabetes and psychiatric disorders, mostly depression, but also indicate that healthy individuals may present a correlation of metabolic and mental disorders. Diabetic patients are more prone to develop psychiatric disorders, but also psychiatric patients are more commonly affected by diabetes mellitus. Moreover, those suffering from both diseases show the highest risk of overall mortality. Inflammatory pathology of both diabetes and depression, which is the most common psychiatric disorder in diabetic patients, suggests that chronic inflammation may play the main role in this relationship. Conclusion: Analyzing different risk factors of comorbidity, the significance of reversible ones is indisputable. Taking that into account, some lifestyle changes may be beneficial for metabolic and mental disorders prevention. Further studies could indicate certain pathological relationships and help understand the correlation between blood glucose and mental state in healthy individuals.

Profile of patients died as a result of covid-19 with comorbid diabetes mellitus who was treated in the ICU with mechanical ventilation at Airlangga university hospital for the period of January - December 2021

COVID-19 is an acute respiratory infection caused by the SARS- Cov-2 type coronavirus. The severity of death in COVID-19 patients can also be influenced by the morbidity of diabetes mellitus. However, currently there is still controversy regarding the results of research regarding comorbid factors of diabetes mellitus (DM) with COVID-19. In my research, the aim is to find out whether there is an influence between Diabetes Mellitus (DM) on the level of severity and mortality in COVID-19 patients at Airlangga University Hospital in 2021. This research uses a data collection method in the form of total sampling. The sample used in this study was medical record data on all COVID-19 patients treated at Airlangga University Hospital for the period 1 January – 31 December 2021 who met the inclusion criteria. It was found that male gender, old age (56-65 years), high school education, private sector employment, and complaints of shortness of breath had a major contribution to the mortality of COVID-19 patients with diabetes. Based on the Chi Square test, the relationship between blood sugar levels and mortality in COVID-19 patients showed an outcome p of 0.208.

An analysis of exogenous harmful substance exposure as risk factors for COPD and hypertension co-morbidity using PSM.

Some occupational and environmental exposures could increase the risk of chronic obstructive pulmonary disease (COPD) and hypertension in various work and living environments. However, the effect of exposure to multiple exogenous harmful substances on COPD and hypertension co-morbidities remains unclear. Participants were selected from eight hospitals in five provinces in China using a multistage cluster sampling procedure. Participants' demographic, exposure, and disease information were collected through questionnaires, spirometry, and blood pressure examinations. Demographic data were used as matching factors, and 1:1 matching between the exposed and non-exposed groups was performed by employing propensity score matching (PSM) to minimize the influence on the results. A one-way chi-squared analysis and multifactorial logistic regression were used to analyze the association between the exposure to exogenous harmful substances (metals and their compound dust, inorganic mineral dust, organic chemicals, and livestock by-products) and the co-morbidity of COPD and hypertension. There were 6,610 eligible participants in the final analysis, of whom 2,045 (30.9%) were exposed to exogenous harmful substances. The prevalence of co-morbidities of COPD and hypertension (6.0%) in the exposure group was higher than their prevalence in the total population (4.6%). After PSM, exogenous harmful substance exposure was found to be a risk factor for the co-morbidity of COPD and hypertension [odds ratio (OR) = 1.347, 95% confidence interval (CI): 1.011-1.794], which was not statistically significant before PSM (OR = 1.094, 95% CI: 0.852-1.405). Meanwhile, the results of different outcomes showed that the association between hypertension and exogenous harmful substance exposure was not statistically significant (OR = 0.965, 95% CI: 0.846-1.101). Smoking (OR = 4.702, 95% CI: 3.321-6.656), history of a respiratory disease during childhood (OR = 2.830, 95% CI: 1.600-5.006), and history of respiratory symptoms (OR = 1.897, 95% CI: 1.331-2.704) were also identified as risk factors for the co-morbidity of COPD and hypertension. The distribution of exogenous harmful substance exposure varies in the population, and the prevalence of co-morbidities is generally higher in susceptible populations. Exposure to exogenous harmful substances was found to be a key risk factor after adjusting for demographic confounders.

Predictors of Mortality in COVID-19 Patients at dr. Soediran Mangun Sumarso Regional General Hospital, Wonogiri Regency, Indonesia

Background: COVID-19 was declared a pandemic by WHO in early 2020. Infection by the SARS-Cov-2 virus causes varying mortality in various regions. This research aimed to determine the predictors of mortality in COVID-19 patients treated at dr. Soediran Mangun Sumarso Regional General Hospital. Methods: This was an analytical observational study with a cross-sectional design. The study subjects were COVID-19 patients from polymerase chain reaction (PCR) examination results who were treated at dr. Soediran Mangun Sumarso Regional General Hospital. Clinical and laboratory data along with outcome status during treatment were obtained from medical records. Bivariate analysis was carried out for variables, such as age, gender, and comorbid factors, and determining predictors of mortality from the results of examinations of O2 saturation, leukocyte numbers, D-dimer, and CRP. Bivariate analysis of prognostic variables used the chi-square test. Results: A total of 81 (25.20%) patients died, out of a total of 258 patients. Factors and predictors of death in patients positive with COVID-19 were elderly over 60 (p=0.031), an increase in leukocyte (AL) count (p=0.010), and D-dimer (p=0.030) above the normal limit (p=0.850). Conclusion: Predictor factors for mortality in COVID-19 patients treated at Dr. Soediran Mangun Sumarso Regional General Hospital was aged over &gt; 60 and increased leukocyte numbers, D-dimer, and CRP rate above the normal limits

Cannabis, Tobacco Use, and COVID-19 Outcomes

It is unclear whether cannabis use is associated with adverse health outcomes in patients with COVID-19 when accounting for known risk factors, including tobacco use. To examine whether cannabis and tobacco use are associated with adverse health outcomes from COVID-19 in the context of other known risk factors. This retrospective cohort study used electronic health record data from February 1, 2020, to January 31, 2022. This study included patients who were identified as having COVID-19 during at least 1 medical visit at a large academic medical center in the Midwest US. Current cannabis use and tobacco smoking, as documented in the medical encounter. Health outcomes of hospitalization, intensive care unit (ICU) admission, and all-cause mortality following COVID-19 infection. The association between substance use (cannabis and tobacco) and these COVID-19 outcomes was assessed using multivariable modeling. A total of 72 501 patients with COVID-19 were included (mean [SD] age, 48.9 [19.3] years; 43 315 [59.7%] female; 9710 [13.4%] had current smoking; 17 654 [24.4%] had former smoking; and 7060 [9.7%] had current use of cannabis). Current tobacco smoking was significantly associated with increased risk of hospitalization (odds ratio [OR], 1.72; 95% CI, 1.62-1.82; P < .001), ICU admission (OR, 1.22; 95% CI, 1.10-1.34; P < .001), and all-cause mortality (OR, 1.37, 95% CI, 1.20-1.57; P < .001) after adjusting for other factors. Cannabis use was significantly associated with increased risk of hospitalization (OR, 1.80; 95% CI, 1.68-1.93; P < .001) and ICU admission (OR, 1.27; 95% CI, 1.14-1.41; P < .001) but not with all-cause mortality (OR, 0.97; 95% CI, 0.82-1.14, P = .69) after adjusting for tobacco smoking, vaccination, comorbidity, diagnosis date, and demographic factors. The findings of this cohort study suggest that cannabis use may be an independent risk factor for COVID-19-related complications, even after considering cigarette smoking, vaccination status, comorbidities, and other risk factors.

Elixhauser comorbidity method in predicting death of Spanish inpatients with asplenia and pneumococcal pneumonia

BackgroundPneumococcal pneumonia (PP) is a serious infection caused by Streptococcus pneumoniae (pneumococcus), with a wide spectrum of clinical manifestations. The aim of this study was to analyze the comorbidity factors that influenced the mortality in patients with asplenia according to PP.MethodsDischarge reports from the Spanish Minimum Basic Data Set (MBDS) was used to retrospectively analyze patients with asplenia and PP, from 1997 to 2021. Elixhauser Comorbidity Index (ECI) was calculated to predict in-hospital mortality (IHM).Results97,922 patients with asplenia were included and 381 cases of PP were identified. The average age for men was 63.87 years and for women 65.99 years. In all years, ECI was larger for splenectomized than for non-splenectomized patients, with men having a higher mean ECI than women. An association was found between risk factors ECI, splenectomy, age group, sex, pneumococcal pneumonia, and increased mortality (OR = 0.98; 95% CI: 0.97–0.99; p < 0.001). The IHM increased steadily with the number of comorbidities and index scores in 1997–2021.ConclusionsAsplenia remain a relevant cause of hospitalization in Spain. Comorbidities reflected a great impact in patients with asplenia and PP, which would mean higher risk of mortality.

A Multi-Omics Approach to Defining Target Organ Injury in Youth with Primary Hypertension.

Primary hypertension in childhood tracks into adulthood and may be associated with increased cardiovascular risk. Studies conducted in children and adolescents provide an opportunity to explore the early cardiovascular target organ injury (CV-TOI) in a population free from many of the comorbid cardiovascular disease risk factors that confound studies in adults. Youths (n=132, mean age 15.8 years) were stratified by blood pressure (BP) as low, elevated, and high-BP and by left ventricular mass index (LVMI) as low- and high-LVMI. Systemic circulating RNA, miRNA, and methylation profiles in peripheral blood mononuclear cells and deep proteome profiles in serum were determined using high-throughput sequencing techniques. VASH1 gene expression was elevated in youths with high-BP with and without high-LVMI. VASH1 expression levels positively correlated with systolic BP (r=0.3143, p=0.0034). The expression of hsa-miR-335-5p, one of the VASH1-predicted miRNAs, was downregulated in high-BP with high-LVMI youths and was inversely correlated with systolic BP (r=-0.1891, p=0.0489). GSE1 hypermethylation, circulating PROZ upregulation (log2FC=0.61, p=0.0049 and log2FC=0.62, p=0.0064), and SOD3 downregulation (log2FC=-0.70, p=0.0042 and log2FC=-0.64, p=0.010) were observed in youths with elevated BP and high-BP with high-LVMI. Comparing the transcriptomic and proteomic profiles revealed elevated HYAL1 levels in youths displaying high-BP and high-LVMI. The findings are compatible with a novel blood pressure-associated mechanism that may occur through impaired angiogenesis and extracellular matrix degradation through dysregulation of Vasohibin-1 and Hyaluronidase1 was identified as a possible mediator of CV-TOI in youth with high-BP and suggests strategies for ameliorating TOI in adult-onset primary hypertension.

Addressing multicollinearity in spatial modelling: A district level spatial analysis of pandemic COVID-19 in India.

This study focuses on conducting spatial analysis of COVID-19 at the district level in India. Leveraging data from www.covidindia.org for confirmed cases and deaths, and integrating population characteristics from the National Family Health Survey 5 (2019-2021) and supplementary sources. The objective is to identify risk factors using spatial modelling techniques while addressing multicollinearity through principal component analysis (PCA). This study utilizes spatial analysis to identify COVID-19 hotspots and coldspots at the district level in India. It highlights highly affected districts such as Mumbai, Pune, Chennai, Kolkata, and Bengaluru, as well as low affected districts in central and north-eastern regions. The study utilized the spatial lag model (SLM), spatial error model (SEM), geographical weighted regression (GWR), and multiscale geographical weighted regression (MGWR) models to analyse the impact of demographic, socioeconomic, climatic, and comorbidity factors on COVID-19, accounting for spatial proximity. Among these models, MGWR exhibited superior performance. Key risk factors associated with the COVID-19 phenomenon identified, providing insights into the impact of household conditions, educational level of women, tobacco and alcohol consumption rates, number of health centres, and climatic factors. Moreover, the local coefficients estimated by MGWR model furnish detailed information regarding the strength and direction of the relationships between predictors and COVID-19 cases and deaths within each spatial unit. The findings emphasize the significance of addressing multicollinearity in spatial modelling. It is beneficial for accurate parameter estimation, proper interpretation of coefficients, improved spatial analysis, and providing reliable insights to support decision-making in spatial contexts.

Hyperglycemia and cognitive impairments anticipate the onset of an overt type 2 diabetes-like phenotype in TALLYHO/JngJ mice

Type 2 Diabetes mellitus (T2DM) is a metabolic disorder characterized by chronic hyperglycemia, resulting from deficits in insulin secretion, insulin action, or both. Whilst the role of insulin in the peripheral nervous system has been ascertained in countless studies, its role in the central nervous system (CNS) is emerging only recently. Brain insulin has been lately associated with brain disorders like Alzheimer’s disease, obsessive compulsive disorder, and attention deficit hyperactivity disorder. Thus, understanding the role of insulin as a common risk factor for mental and somatic comorbidities may disclose novel preventative and therapeutic approaches. We evaluated general metabolism (glucose tolerance, insulin sensitivity, energy expenditure, lipid metabolism, and polydipsia) and cognitive capabilities (attention, cognitive flexibility, and memory), in adolescent, young adult, and adult male and female TALLYHO/JngJ mice (TH, previously reported to constitute a valid experimental model of T2DM due to impaired insulin signaling). Adult TH mice have also been studied for alterations in gut microbiota diversity and composition. While TH mice exhibited profound deficits in cognitive flexibility and altered glucose metabolism, we observed that these alterations emerged either much earlier (males) or independent of (females) a comprehensive constellation of symptoms, isomorphic to an overt T2DM-like phenotype (insulin resistance, polydipsia, higher energy expenditure, and altered lipid metabolism). We also observed significant sex-dependent alterations in gut microbiota alpha diversity and taxonomy in adult TH mice. Deficits in insulin signaling may represent a common risk factor for both T2DM and CNS-related deficits, which may stem from (partly) independent mechanisms.

Supplemental Material for Cannabis Use Among Correctional Workers in Ontario, Canada: Prevalence, Mental Health Comorbidities, and Risk and Protective Factors Associated With Cannabis Use

Supplemental Material for Cannabis Use Among Correctional Workers in Ontario, Canada: Prevalence, Mental Health Comorbidities, and Risk and Protective Factors Associated With Cannabis Use

The Liver Frailty Index: a model for establishing organ-specific frailty metrics across all solid organ transplantation.

In this review, we discuss the development of the Liver Frailty Index (LFI) and how it may serve as a model for developing other organ-specific frailty indices. As the demand for solid organ transplants continues to increase, the transplantation community is enhancing its strategies for organ allocation to gain deeper insights into patient risk profiles and anticipated outcomes. Frailty has emerged as a critical concept in transplant care, offering valuable insights into adverse health outcomes. Standardizing frailty assessment across transplant programs could enhance prognostic accuracy and inform pretransplant interventions.The LFI comprises of three performance-based tests that each represents essential components of the multidimensional frailty construct. This composite metric provides insights beyond liver function and considers nonhepatic comorbid factors. Identifying common frailty principles among all transplant candidates and adopting the LFI methodology, which assesses fundamental frailty principles using liver-specific tools, could establish a foundational pool of shared core frailty principles. From this pool, organ-specific frailty indices could be derived, each equipped with the clinically relevant organ-specific tools to evaluate common core principles. Creating a standardized framework across all solid-organ transplants, with common principles and organ-specific measurements, would facilitate consistent frailty assessment, standardize the integration of the frailty construct into transplant decision-making, and enable center-level interventions to improve outcomes for patients with end-stage organ disease.

Effect of Obesity on Short- and Long-Term Complications After Ankle Fracture Fixation.

This study evaluated the relationship between obesity and postoperative complications in patients undergoing ankle open reduction internal fixation (ORIF). Retrospective cohort study. PearlDiver-Mariner All-Payor Database. Patients who underwent ankle ORIF from 2010 to 2021 and had a minimum of 2 years of follow-up were identified using Current Procedural Terminology, ICD-9, and ICD-10 codes. Patients were stratified by body mass index into nonobese, obese, morbidly obese, and super-obese groups. Complication rates, including 90-day readmissions, infection, and post-traumatic osteoarthritis, were compared between obesity groups. Patients were additionally compared with a 1:1 matched analysis that controlled for demographics and comorbidities. A total of 160,415 patients undergoing ankle ORIF from 2010 to 2021 were identified. The cohort consisted mostly of females (64.8%) and the average age was 52.5 (SD 18.4) years. There were higher rates of 90-day readmissions, UTIs, DVT/PE, pneumonia, superficial infections, and acute kidney injuries in patients with increasing levels of obesity (P < 0.001). There were increased odds of nonunion and post-traumatic arthritis in the matched analysis at 2 years in the obesity group [OR: 2.36, 95% confidence interval (CI): 1.68-3.31, P < 0.001; OR: 2.18, 95% CI: 1.77-2.68, P < 0.001, respectively]. Postoperative medical complication rates in patients undergoing ankle ORIF, including infection, are higher in obese patients, even in the 1:1 matched analysis that controlled for demographic and comorbidity factors. Rates of nonunion and post-traumatic arthritis were higher in obese patients, as well. As such, it is important for surgeons to provide appropriate education regarding the risks after ankle ORIF in patients with obesity. Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Impact of metabolic phenotype and alcohol consumption on mortality risk in metabolic dysfunction-associated fatty liver disease: a population-based cohort study

Patients with metabolic dysfunction-associated fatty liver disease (MAFLD) often present with concomitant metabolic dysregulation and alcohol consumption, potentially leading to distinct clinical outcomes. We analyzed data from 8043 participants with MAFLD in the Thai National Health Examination Survey with linked mortality records. According to the MAFLD criteria, 1432 individuals (17.2%) were categorized as having the diabetes phenotype, 5894 (71.0%) as the overweight/obesity phenotype, and 978 (11.8%) as the lean metabolic phenotype. Over 71,145 person-years, 916 participants died. Using Cox proportional hazard models adjusting for physiological, lifestyle, and comorbid factors, both diabetes (adjusted hazards ratio [aHR] 1.59, 95% CI 1.18–2.13) and lean metabolic phenotypes (aHR 1.28, 95% CI 1.01–1.64) exhibited significantly higher mortality risk compared to the overweight/obesity phenotype. A J-shaped relationship was observed between daily alcohol consumption and the risk of all-cause mortality. Daily alcohol intake exceeding 50 g for women and 60 g for men increased the all-cause mortality risk among MAFLD individuals with the lean metabolic phenotype (aHR 3.39, 95% CI 1.02–11.29). Our study found that metabolic phenotype and alcohol consumption have interactive effects on the risk of all-cause mortality in patients with MAFLD, indicating that evaluating both factors is crucial for determining prognostic outcomes and management strategies.

Neurocognitive testing to predict ICANS post-CAR T.

e19003 Background: Since the approvals of chimeric antigen receptor T-cell (CAR T) therapy in acute lymphoblastic leukemia (ALL), non-Hodgkin lymphoma (NHL), and multiple myeloma (MM), it has been increasingly offered in centers nationwide. Immune effector cell-associated neurotoxicity syndrome (ICANS) poses a potentially fatal risk with CAR-T. Identifying patients at risk of having high grade ICANS is a thus a priority. Scoring systems such as the EASIX scores have accounted for disease and comorbidity factors but haven’t addressed neurocognitive function. The St. Louis University Mental Status (SLUMS) Exam and the Montreal Cognitive Assessment (MoCA) have not been examined for validity and reliability in this population, so we performed a retrospective review of CAR T patients at the University of Kansas Medical Center to identify if incidence or severity of ICANS could be correlated with neurocognitive testing performed in the pre-infusion period. Methods: Patients receiving CAR T targeting CD19 or BCMA between December 2017 and December 2023 were included. Neurocognitive testing was performed by trained onco-psychology, neurology, or hematology-oncology staff. The SLUMS exam is an 11 question exam scored on a 30 point scale to predict normal neurocognitive function (27-30 points), mild neurocognitive disorders (21-26 points), and dementia (0-20 points). The MoCA is an 11 question exam scored on a 30 point scale to predict normal cognition (26-30 points), mild cognitive impairment (18-25 points), moderate cognitive impairment (10-17 points), and severe cognitive impairment (&lt;10 points). Incidence of ICANS and severity of ICANS were compared between patients who had any detected cognitive dysfunction and those who had none, as well as between the tiered result system unique to each test. Results: We included 360 patients in this analysis, (257 NHL, 84 MM and 19 ALL) leading to comparisons of 276 CD19-directed CAR T patients and 84 BCMA-directed CAR T patients. In CD19-directed patients, there were no differences in ICANS incidence according to the SLUMS scores. There was a significant increase in ICANS incidence for patients who had a positive MoCA exam, p=0.006. Additionally, ICANS incidence was correlated with more severe MoCA results, p=0.01. No differences in ICANS severity were observed using any neurocognitive test. In BCMA-directed patients, no differences in ICANS were observed using the SLUMS or MoCA. Conclusions: Our results suggest that while the SLUMS exam does not predict ICANS, the MoCA may independently predict incidence of ICANS. Patients with a higher score correlating with normal cognition are less likely to develop ICANS and may be appropriate for outpatient therapy. For those with lower scores correlating with more severe neurocognitive disorders, inpatient monitoring and early intervention will continue to be important.

Evaluation of body mass index, ponderal index, visceral cross-sectional area, subcutaneous fat cross-sectional area, and liver volume as predictive factors for obesity-related comorbidities: a retrospective cohort study

BackgroundThe body mass index is an imperfect clinical measure of obesity that should be used in conjunction with other valid measures of weight-related risk. We studied whether there is a superior measure of obesity-related comorbidities. MethodsRecords of bariatric clinic patients who had an abdominal computed tomography (CT) within one year of visit were reviewed. The presence of obesity-related comorbidities was determined at the time of the scan. Body mass index (BMI) and ponderal index (PI) were calculated, and CT scans were reviewed to determine the visceral cross-sectional area (VCSA), subcutaneous fat cross-sectional area (SFCSA), and liver volume (LV). Data was analyzed using the Kruskal-Wallis test and Mann-Whitney U test. ResultsA higher number of comorbidities were found to be associated with a larger BMI (p=0.011), VCSA (p=0.014), SFCSA (p=0.007), and LV (p=0.014), but not a larger PI (p=0.11). Of the 16 comorbidities assessed, VCSA and LV were associated with more than BMI and SFCSA. However, each measure could be associated with different comorbidities. A higher BMI was associated with increased insulin use (p=0.034), HTN (p=0.007), and history of OSA (p=0.015), none of which were associated with PI. BMI and PI were the only measures associated with a history of DVT/PE (both p<0.01). Only SFCSA was found to be associated with GERD (p=0.029). VCSA (p=0.038) and LV (p=0.001) were associated with NAFLD. ConclusionNo measure could account for all obesity-related comorbidities, implying the need for targeted measurements. However, the ponderal index was the least effective measure.