Clinical outcomes and inflammatory marker levels in patients with Covid-19 and obesity at an inner-city safety net hospital.
Ontology highlight
ABSTRACT: Objectives
Patients with Covid-19 and obesity have worse clinical outcomes which may be driven by increased inflammation. This study aimed to characterize the association between clinical outcomes in patients with obesity and inflammatory markers.Methods
We analyzed data for patients aged ?18 years admitted with a positive SARS-CoV-2 PCR test. We used multivariate logistic regression to determine the association between BMI and intensive care unit (ICU) transfer and all-cause mortality. Inflammatory markers (C-reactive protein [CRP], lactate dehydrogenase [LDH], ferritin, and D-dimer) were compared between patients with and without obesity (body mass index [BMI] ?30 kg/m2).Results
Of 791 patients with Covid-19, 361 (45.6%) had obesity. In multivariate analyses, BMI ?35 was associated with a higher odds of ICU transfer (adjusted odds ratio [aOR] 2.388 (95% confidence interval [CI]: 1.074-5.310) and hospital mortality (aOR = 4.3, 95% CI: 1.69-10.82). Compared to those with BMI<30, patients with obesity had lower ferritin (444 vs 637 ng/mL; p<0.001) and lower D-dimer (293 vs 350 mcg/mL; p = 0.009), non-significant differences in CRP (72.8 vs 84.1 mg/L, p = 0.099), and higher LDH (375 vs 340, p = 0.009) on the first hospital day.Conclusions
Patients with obesity were more likely to have poor outcomes even without increased inflammation.
SUBMITTER: Mostaghim A
PROVIDER: S-EPMC7744045 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Clinical outcomes and inflammatory marker levels in patients with Covid-19 and obesity at an inner-city safety net hospital.
Mostaghim Anahita A Sinha Pranay P Bielick Catherine C Knudsen Selby S Beeram Indeevar I White Laura F LF Apovian Caroline C Sagar Manish M Hochberg Natasha S NS
PloS one 20201216 12
<h4>Objectives</h4>Patients with Covid-19 and obesity have worse clinical outcomes which may be driven by increased inflammation. This study aimed to characterize the association between clinical outcomes in patients with obesity and inflammatory markers.<h4>Methods</h4>We analyzed data for patients aged ≥18 years admitted with a positive SARS-CoV-2 PCR test. We used multivariate logistic regression to determine the association between BMI and intensive care unit (ICU) transfer and all-cause mor ...[more]
Similar Datasets
Project description:In the United States, obesity has increased in prevalence over time and is strongly associated with subsequent outcomes such as diabetes mellitus (DM) and nonalcoholic fatty liver disease (NAFLD). It is unclear, however, as to how the magnitude of NAFLD risk from obesity and DM is increased in safety-net health system settings. Among the San Francisco Health Network (SFHN) patients (N = 47,211), we examined the association between Body Mass Index (BMI) and elevated liver enzyme levels, including interaction by DM status. Our findings revealed that 32.2 percent of SFHN patients were obese, and Pacific Islanders in the safety-net had the highest rates of obesity compared to other racial groups, even after using higher race-specific BMI cutoffs. In SFHN, obesity was associated with elevated liver enzymes, with the relationship stronger among those without DM. Our findings highlight how obesity is a stronger factor of NAFLD in the absence of DM, suggesting that practitioners consider screening for NAFLD among safety-net patients with obesity even if DM has not developed. These results highlight the importance of directing efforts to reduce obesity in safety-net health systems and encourage researchers to further examine effect modification between health outcomes in such populations.
| S-EPMC7398271 | biostudies-literature
Project description:BackgroundThere has been a rise in the incidence of injection drug use and associated infective endocarditis.MethodsThe clinical outcomes of 39 patients admitted with injection drug use-associated infective endocarditis were collected with a mean follow-up of 14 months. The outcomes were compared for patients treated medically with those undergoing surgical intervention. Re sults: The mean age was 39 ± 11 years; 54% were female. Thirty-two patients (82%) had native and 7 (18%) prosthetic infective endocarditis. The tricuspid valve was affected in 17 patients (43%), the mitral in 10 (26%), the aortic in 4 (10%), and multiple valves in 8 (20%). Sixteen (41%) patients underwent surgery, and 23 (59%) were treated with medical therapy. The indications for surgery included heart failure, systemic emboli, recurrent infection, and vegetation size ≥10 mm. Patients undergoing surgery had a higher rate of paravalvular abscess (25% vs 0%, P = 0.02), valve perforation (37% vs 11%, P = 0.04), and mitral valve involvement (44% vs 13%, P = 0.06), whereas medically treated patients had higher tricuspid valve involvement (61% vs 19%, P = 0.02). During follow-up, 26% of medical and 31% of surgical cohort patients died (P = 0.7). Mortality was highest (54%) among those who continued medical management despite an indication for surgery. Univariate predictors of mortality were age (odds ratio [OR] 1.09, 95% confidence interval [CI]: 1.01-1.17; P = 0.02), heart failure (OR 6.9; 95% CI: 1.24-37.49; P = 0.02), septicemia (OR 4.40; 95% CI:0.99-19.54; P = 0.05), and shock (OR 10.8; 95% CI: 1.68-69.92; P = 0.01).ConclusionsDespite contemporary therapy, patients with injection drug use-associated infective endocarditis remain at high risk of complications and poor clinical outcomes. These findings highlight the need for developing new care pathways and a team approach for effective management.
| S-EPMC8347875 | biostudies-literature
Project description:AIMS:There is limited information characterizing young adults (18-35 years) (YA) with diabetes, especially those admitted for hyperglycemic emergencies. The study aims were to examine associations of patient-level characteristics with hyperglycemic emergency hospitalization and to identify variations based on diabetes type and glycemic control. METHODS:We conducted retrospective analysis of 273 YA admitted to an inner-city hospital with diabetic ketoacidosis (DKA) or hyperosmolar hyperglycemic nonketotic syndrome (HHS). T-tests, Chi-Square tests, and ANOVA identified differences in demographics, diabetes history, clinical indicators, complications/comorbidities, and hospital admission stratified separately by diabetes type (1 vs 2) and admission HbA1c < 9% (75 mmol/mol), ≥9% to 12% (108 mmol/mol), ≥12%). RESULTS:Mean admission HbA1c was 12.4% (112 mmol/ml). HbA1c was ≥9.0% for 90.5%. The main DKA/HHS trigger was medication nonadherence (57.9%), with 35.6% presenting with new-onset type 2 diabetes. Only 3.7% utilized outpatient diabetes clinics, 38.8% were re-hospitalized within the year, and 69% lacked insurance. Diabetes complications (44.7%) and psychiatric co-morbidities (35.5%) were common. Significantly more YA with type 1 diabetes had insurance, whereas YA with type 2 diabetes had higher admission HbA1c. YA with HbA1c ≥12% were more likely to be Black and lack insurance. CONCLUSIONS:YA hospitalized for DKA/HHS in an inner-city hospital tended to have severely uncontrolled diabetes. Many already had comorbidities and diabetes complications, high use of acute care services and low use of diabetes specialty services. YA characteristics varied by diabetes type and HbA1c. Overall, a substantial percentage lacked insurance, potentially impacting healthcare utilization patterns and medication adherence, and leading to DKA/HHS admissions.
| S-EPMC6914263 | biostudies-literature
Project description:Patients with inflammatory bowel disease (IBD) and underrepresented minorities (URMs) historically have below average vaccination rates. URMs have increased morbidity and mortality from COVID-19. We surveyed IBD patients to assess COVID vaccination attitudes, particularly among URMs. In May and June 2021, all 822 adult patients with IBD, medically homed at a tertiary IBD referral center and safety net hospital, and with access to the electronic patient portal, were sent an electronic survey assessing their attitudes regarding COVID-19 vaccination. An additional 115 without access to the patient portal were contacted by phone. Demographic and clinical data were recorded. The primary outcome was vaccination hesitancy, defined as: likely will become vaccinated later this year, but not immediately; unsure if they will get the vaccine; or do not want the vaccine. Multivariable logistic regression was used to calculate adjusted odds ratios (aOR) of factors associated with vaccination intent. The mean age was 46.6 years (SD 15.1). 210/1029 patients responded to the survey: 150/822 (18.2%) electronically and 60/115 (52.2%) by phone. Overall vaccine hesitancy rate was 11.9%, significantly higher in younger (aOR for 10-year increments, 0.64; 95% confidence interval [CI], 0.46-0.90, p = 0.011), Hispanic (aOR, 7.67; 95% CI, 2.99-21.3, p < 0.0002), and Black patients (aOR, 3.52; 95% CI 1.11-11.1, p = 0.050). Safety concerns were the most cited reasons for vaccine hesitancy. URM patients were more vaccine hesitant. Future studies should further explore factors leading to lower vaccination rates among these groups and strategies to improve COVID-19 vaccination rates.
| S-EPMC8853212 | biostudies-literature
Project description:ImportanceNo consensus exists on how to define safety-net hospitals (SNHs) for research or policy decision-making. Identifying which types of hospitals are classified as SNHs under different definitions is key to assessing policies that affect SNH funding.ObjectiveTo examine characteristics of SNHs as classified under 3 common definitions.Design, setting, and participantsThis cross-sectional analysis includes noncritical-access hospitals in the Healthcare Cost and Utilization Project State Inpatient Databases from 47 US states for fiscal year 2015, linked to the Centers for Medicare & Medicaid Services Hospital Cost Reports and to the American Hospital Association Annual Survey. Data were analyzed from March 1 through September 30, 2018.ExposuresHospital characteristics including organizational characteristics, scope of services provided, and financial attributes.Main outcomes and measuresDefinitions of SNH based on Medicaid and Medicare Supplemental Security Income inpatient days historically used to determine Medicare Disproportionate Share Hospital (DSH) payments; Medicaid and uninsured caseload; and uncompensated care costs. For each measure, SNHs were defined as those within the top quartile for each state.ResultsThe 2066 hospitals in this study were distributed across the Northeast (340 [16.5%]), Midwest (587 [28.4%]), South (790 [38.2%]), and West (349 [16.9%]). Concordance between definitions was low; 269 hospitals (13.0%) or fewer were identified as SNHs under any 2 definitions. Uncompensated care captured smaller (200 of 523 [38.2%]) and more rural (65 of 523 [12.4%]) SNHs, whereas DSH index and Medicaid and uncompensated caseload identified SNHs that were larger (264 of 518 [51.0%] and 158 of 487 [32.4%], respectively) and teaching facilities (337 of 518 [65.1%] and 229 of 487 [47.0%], respectively) that provided more essential services than non-SNHs. Uncompensated care also distinguished remarkable financial differences between SNHs and non-SNHs. Under the uncompensated care definition, median (interquartile range [IQR]) bad debt ($27.1 [$15.5-$44.3] vs $12.8 [$6.7-$21.6] per $1000 of operating expenses; P < .001) and charity care ($19.9 [$9.3-$34.1] vs $9.1 [$4.0-$18.7] per $1000 of operating expenses) were twice as high and median (IQR) unreimbursed costs ($32.6 [$12.4-$55.4] vs $23.6 [$9.0-$42.7] per $1000 of operating expenses; P < .001) were 38% higher for SNHs than for non-SNHs. Safety-net hospitals defined by uncompensated care burden had lower median (IQR) total (4.7% [0%-9.9%] vs 5.8% [1.2%-11.2%]; P = .003) and operating (0.3% [-8.0% to 7.2%] vs 2.3% [-3.9% to 8.9%]; P < .001) margins than their non-SNH counterparts, whereas differences between SNH and non-SNH profit margins generally were not statistically significant under the other 2 definitions.Conclusions and relevanceDifferent SNH definitions identify hospitals with different characteristics and financial conditions. The new DSH formula, which accounts for uncompensated care, may lead to redistributed payments across hospitals. Our results may inform which types of hospitals will experience funding changes as DSH payment policies evolve.
| S-EPMC6686776 | biostudies-literature
Project description:Prior studies have shown an association between fast-food restaurants and adolescent body size. Less is known about the influence of neighborhood food stores on a child's body size. We hypothesized that in the inner-city, minority community of East Harlem, New York, the presence of convenience stores and fast-food restaurants near a child's home is associated with increased risk for childhood obesity as measured by body mass index (BMI).Baseline data of 6- to 8-year-old East Harlem boys and girls (N=323) were used. Anthropometry (height and weight) was conducted with a standardized protocol. Food-store data were collected via a walking survey. Stores located within the same census block as the child's home address were identified by using ArcGIS 8.3. We computed age- and sex-specific BMI percentiles by using national norms of the Centers for Disease Control and Prevention. Using odds ratios, we estimated risk of a child's BMI percentile being in the top tertile based on number and types of food stores on their census blocks.Convenience stores were present in 55% of the surveyed blocks in which a study particpant lived and fast-food restaurants were present in 41%. Children (n=177) living on a block with 1 or more convenience stores (range, 1-6) were more likely to have a BMI percentile in the top tertile (odds ratio 1.90, 95% confidence interval, 1.15-3.15) compared with children having no convenience stores (n=146).The presence of convenience stores near a child's residence was associated with a higher BMI percentile. This has potential implications for both child- and neighborhood-level childhood obesity interventions.
| S-EPMC2770899 | biostudies-literature
Project description:Coronavirus disease 2019 (COVID-19) due to infection with severe acute respiratory syndrome coronavirus 2 causes substantial morbidity. Tocilizumab, an interleukin-6 receptor antagonist, might improve outcomes by mitigating inflammation. We conducted a retrospective study of patients admitted to the University of Washington Hospital system with COVID-19 and requiring supplemental oxygen. Outcomes included clinical improvement, defined as a two-point reduction in severity on a six-point ordinal scale or discharge, and mortality within 28 days. We used Cox proportional-hazards models with propensity score inverse probability weighting to compare outcomes in patients who did and did not receive tocilizumab. We evaluated 43 patients who received tocilizumab and 45 who did not. Patients receiving tocilizumab were younger with fewer comorbidities but higher baseline oxygen requirements. Tocilizumab treatment was associated with reduced C-reactive protein, fibrinogen, and temperature, but there were no meaningful differences in time to clinical improvement (adjusted hazard ratio [aHR], 0.92; 95% confidence interval [CI], 0.38-2.22) or mortality (aHR, 0.57; 95% CI, 0.21-1.52). A numerically higher proportion of tocilizumab-treated patients had subsequent infections, transaminitis, and cytopenias. Tocilizumab did not improve outcomes in hospitalized patients with COVID-19. However, this study was not powered to detect small differences, and there remains the possibility for a survival benefit.
| S-EPMC7753799 | biostudies-literature
Project description:BackgroundOutcome disparities have been documented at safety-net hospitals (SNHs), which disproportionately serve vulnerable patient populations. Using a nationwide retrospective cohort, we assessed inpatient outcomes following brain tumor craniotomy at SNHs in the United States.MethodsWe identified all craniotomy procedures in the National Inpatient Sample from 2002-2011 for brain tumors: glioma, metastasis, meningioma, and vestibular schwannoma. Safety-net burden was calculated as the number of Medicaid plus uninsured admissions divided by total admissions. Hospitals in the top quartile of burden were defined as SNHs. The association between SNH status and in-hospital mortality, discharge disposition, complications, hospital-acquired conditions (HACs), length of stay (LOS), and costs were assessed. Multivariate regression adjusted for patient, hospital, and severity characteristics.Results304,719 admissions were analyzed. The most common subtype was glioma (43.8%). Of 1,206 unique hospitals, 242 were SNHs. SNH admissions were more likely to be non-white (P < .001), low income (P < .001), and have higher severity scores (P = .034). Mortality rates were higher at SNHs for metastasis admissions (odds ratio [OR] = 1.48, P = .025), and SNHs had higher complication rates for meningioma (OR = 1.34, P = .003) and all tumor types combined (OR = 1.17, P = .034). However, there were no differences at SNHs for discharge disposition or HACs. LOS and hospital costs were elevated at SNHs for all subtypes, culminating in a 10% and 9% increase in LOS and costs for the overall population, respectively (all P < .001).ConclusionsSNHs demonstrated poorer inpatient outcomes for brain tumor craniotomy. Further analyses of the differences observed and potential interventions to ameliorate interhospital disparities are warranted.
| S-EPMC7813162 | biostudies-literature
Project description:ImportanceAlthough readmission rates are declining under Medicare's Hospital Readmissions Reduction Program (HRRP), concerns remain that the HRRP will harm quality at safety-net hospitals because they are penalized more often. Disparities between white and black patients might widen because more black patients receive care at safety-net hospitals. Disparities may be particularly worse for clinical conditions not targeted by the HRRP because hospitals might reallocate resources toward targeted conditions (acute myocardial infarction, pneumonia, and heart failure) at the expense of nontargeted conditions.ObjectiveTo examine disparities in readmission rates between white and black patients discharged from safety-net or non-safety-net hospitals after the HRRP began, evaluating discharges for any clinical condition and the subsets of targeted and nontargeted conditions.Design, setting, and participantsCohort study conducting quasi-experimental analyses of patient hospital discharges for any clinical condition among fee-for-service Medicare beneficiaries from 2007 to 2015 after controlling for patient and hospital characteristics. Changes in disparities were measured within safety-net and non-safety-net hospitals after the HRRP penalties were enforced and compared with prior trends. These analyses were then stratified by targeted and nontargeted conditions. Analyses were conducted from October 1, 2017, through August 31, 2018.Main outcomes and measuresTrends in 30-day readmission rates among white and black patients by quarter and differences in trends across periods.ResultsThe study sample included 58 237 056 patient discharges (black patients, 9.8%; female, 57.7%; mean age [SD] age, 78.8 [7.9] years; nontargeted conditions, 50 372 806 [86.5%]). Within safety-net hospitals, disparities in readmission rates for all clinical conditions widened between black and white patients by 0.04 percentage point per quarter in the HRRP penalty period (95% CI, 0.01 to 0.07; P = .01). This widening was driven by nontargeted conditions (0.05 percentage point per quarter [95% CI, 0.01 to 0.08]; P = .006), whereas disparities for the HRRP-targeted conditions did not change (with an increase of 0.01 percentage point per quarter [95% CI, -0.07 to 0.10]; P = .74). Within non-safety-net hospitals, racial disparities remained stable in the HRRP penalty period across all conditions, whether the conditions were HRRP-targeted or nontargeted.Conclusions and relevanceFindings from this study suggest that disparities are widening within safety-net hospitals, specifically for non-HRRP-targeted conditions. Although increases in racial disparities for nontargeted conditions were modest, they represent 6 times more discharges in our cohort than targeted conditions.
| S-EPMC6324411 | biostudies-literature
Project description:The aim of this study was to investigate whether neighborhood safety as perceived by primary caregivers is associated with asthma morbidity outcomes among inner-city school children with asthma.School children with asthma were recruited from 25 inner-city schools between 2009 and 2012 for the School Inner-City Asthma Study (N?=?219). Primary caregivers completed a baseline questionnaire detailing their perception of neighborhood safety and their children's asthma symptoms, and the children performed baseline pulmonary function tests. In this cross-sectional analysis, asthma control was compared between children whose caregivers perceived their neighborhood to be unsafe versus safe.After adjusting for potential confounders, those children whose primary caregivers perceived the neighborhood to be unsafe had twice the odds of having poorly controlled asthma (odds ratio [OR] adjusted?=?2.2, 95% confidence interval [CI]?=?1.2-3.9, P?=?0.009), four times the odds of dyspnea and rescue medication use (OR adjusted?=?4.7; 95% CI?=?1.7-13.0, P?=?0.003, OR adjusted?=?4.0; 95% CI?=?1.8-8.8, P?<?0.001, respectively), three times as much limitation in activity (OR adjusted?=?3.2; 95% CI?=?1.4-7.7, P?=?0.008), and more than twice the odds of night-time symptoms (OR adjusted?=?2.2; 95% CI?=?1.3-4.0, P?=?0.007) compared to participants living in safe neighborhoods. There was no difference in pulmonary function test results between the two groups.Primary caregivers' perception of neighborhood safety is associated with childhood asthma morbidity among inner-city school children with asthma. Further study is needed to elucidate mechanisms behind this association, and future intervention studies to address social disadvantage may be important.
| S-EPMC4096619 | biostudies-literature