scholarly journals Candida infective endocarditis: A retrospective study of patient characteristics and risk factors for death in 703 U.S. cases, 2015-2019

2020 ◽  
Author(s):  
Jonathan P Huggins ◽  
Samuel Hohmann ◽  
Michael Z David
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Liver Failure ◽  
Patient Characteristics ◽  
Medication Administration ◽  
Small Sample ◽  
Risk Of Death ◽  
Opiate Abuse ◽  
Small Sample Sizes ◽  
Valve Pathology

Abstract Background Candida endocarditis is a rare, sometimes fatal complication of candidemia. Past investigations of this condition are limited by small sample sizes. We used the Vizient clinical database to report on characteristics of patients with Candida endocarditis and to examine risk factors for in-hospital mortality. Methods This was a multicenter, retrospective cohort study of 703 inpatients admitted to 179 United States hospitals between October 2015 and April 2019. We reviewed demographic, diagnostic, medication administration, and procedural data from each patient’s initial encounter. Univariate and multivariate logistic regression analyses were used to identify predictors of in-hospital mortality. Results Of 703 patients, 114 (16.2%) died during the index encounter. One hundred and fifty-eight (22.5%) underwent an intervention on a cardiac valve. On multivariate analysis, acute and subacute liver failure was the strongest predictor of death (OR 9.2, 95% CI 4.8 –17.7). Female sex (OR 1.9, 95% CI 1.2 – 3.0), transfer from an outside medical facility (OR 1.8, 95% CI 1.1 – 2.8), aortic valve pathology (OR 2.7, 95% CI 1.5 – 4.9), hemodialysis (OR 2.1, 95% CI 1.1 – 4.0), cerebrovascular disease (OR 2.2, 95% CI 1.2 – 3.8), neutropenia (OR 2.5, 95% CI 1.3 – 4.8), and alcohol abuse (OR 2.9, 95% CI 1.3 – 6.7) were also associated with death on adjusted analysis, whereas opiate abuse was associated with a lower odds of death (OR 0.5, 95% CI 0.2 – 0.9). Conclusions We found that the inpatient mortality rate was 16.2% among patients with Candida endocarditis. Acute and subacute liver failure was associated with a high risk of death while opiate abuse was associated with a lower risk of death.

scholarly journals 1178. Risk factors for death among patients with Candida endocarditis: An observational study in US academic medical centers

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S614-S614
Author(s):  
Jonathan Huggins ◽  
Michael Z David ◽  
Samuel F Hohmann
Keyword(s):  
Risk Factors ◽  
Liver Failure ◽  
Case Series ◽  
Academic Medical Centers ◽  
Hospital Death ◽  
Hepatitis C Infection ◽  
Risk Of Death ◽  
Medical Centers ◽  
Opiate Abuse ◽  
Academic Medical

Abstract Background Candida endocarditis is a rare, sometimes fatal complication candidemia. Our understanding of this condition is limited to findings from case series and small observational studies. Using the Vizient clinical database, a repository for clinical and administrative data from 117 academic medical centers and more than 300 affiliated hospitals, we assembled the largest cohort of Candida endocarditis patients to date, reporting patient characteristics and risk factors for death. Methods Using ICD-10 code B37.6 (Candidal Endocarditis) we identified 703 inpatients at 179 United States hospitals from October 2015 through April 2019. We examined demographic, diagnostic, and procedural data from each patient’s initial encounter. With univariate and multivariate logistic regression analyses we identified predictors of in-hospital mortality. Results Of 703 patients, 402 (57.2%) were male, 421 (59.9%) used tobacco, 213 (30.3%) had documented opiate abuse, 128 (18.2%) had other illicit drug abuse documented, and 190 (27.0%) had documented hepatitis C infection. Among the 703 patients, 114 (16.2%) died during the index encounter. On multivariate analysis, liver failure was the strongest predictor of death (OR 8.4, 95% CI 4.4 – 15.9), and female sex (OR 1.8, 95% CI 1.1 – 2.9), transfer from an outside facility (OR 1.7, 95% CI 1.1 – 2.7), underlying aortic valve pathology (OR 2.8, 95% CI 1.5 – 4.9), hemodialysis (OR 2.0, 95% CI 1.0 – 3.8), cerebrovascular disease (OR 2.2, 95% CI 1.2 – 3.8), neutropenia (OR 2.5, 95% CI 1.3 – 4.7) and alcohol abuse (OR 2.9, 95% CI 1.3 – 6.7) were also associated with higher odds of in-hospital death. In the same analysis, opiate abuse was associated with a lower odds of in-hospital death (OR 0.4, 95% CI 0.2 – 0.8). Table 1. Characteristics of 703 patients with Candida endocarditis Table 2. Factors associated with in-hospital death in multivariate regression analysis Conclusion We found that for patients Candida endocarditis inpatient mortality was 16.2% and liver failure was associated with a high risk of death while opiate abuse was protective. Further investigation is necessary to better understand these associations. Disclosures Michael Z. David, MD PhD, GSK (Consultant)

scholarly journals Impact of Sex and Metabolic Comorbidities on COVID-19 Mortality Risk Across Age Groups: 66,646 Inpatients Across 613 U.S. Hospitals

2020 ◽  
Author(s):  
Katherine E Goodman ◽  
Laurence S Magder ◽  
Jonathan D Baghdadi ◽  
Lisa Pineles ◽  
Andrea R Levine ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Mortality Risk ◽  
Age Groups ◽  
Patient Characteristics ◽  
Chronic Complications ◽  
Risk Of Death ◽  
Relative Risks ◽  
Increased Risk ◽  
Metabolic Comorbidities

Abstract Background The relationship between common patient characteristics, such as sex and metabolic comorbidities, and mortality from COVID-19 remains incompletely understood. Emerging evidence suggests that metabolic risk factors may also vary by age. This study aimed to determine the association between common patient characteristics and mortality across age-groups among COVID-19 inpatients. Methods We performed a retrospective cohort study of patients discharged from hospitals in the Premier Healthcare Database between April – June 2020. Inpatients were identified using COVID-19 ICD-10-CM diagnosis codes. A priori-defined exposures were sex and present-on-admission hypertension, diabetes, obesity, and interactions between age and these comorbidities. Controlling for additional confounders, we evaluated relationships between these variables and in-hospital mortality in a log-binomial model. Results Among 66,646 (6.5%) admissions with a COVID-19 diagnosis, across 613 U.S. hospitals, 12,388 (18.6%) died in-hospital. In multivariable analysis, male sex was independently associated with 30% higher mortality risk (aRR, 1.30, 95% CI: 1.26 – 1.34). Diabetes without chronic complications was not a risk factor at any age (aRR 1.01, 95% CI: 0.96 – 1.06), and hypertension without chronic complications was only a risk factor in 20-39 year-olds (aRR, 1.68, 95% CI: 1.17 – 2.40). Diabetes with chronic complications, hypertension with chronic complications, and obesity were risk factors in most age-groups, with highest relative risks among 20-39 year-olds (respective aRRs 1.79, 2.33, 1.92; p-values ≤ 0.002). Conclusions Hospitalized men with COVID-19 are at increased risk of death across all ages. Hypertension, diabetes with chronic complications, and obesity demonstrated age-dependent effects, with the highest relative risks among adults aged 20-39.

scholarly journals A framework for measurement and harmonization of pediatric multiple sclerosis etiologic research studies: The Pediatric MS Tool-Kit

2018 ◽  
Vol 25 (8) ◽  
pp. 1170-1177 ◽  
Author(s):  
Sandra Magalhaes ◽  
Brenda Banwell ◽  
Amit Bar-Or ◽  
Isabel Fortier ◽  
Heather E Hanwell ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multiple Sclerosis ◽  
Vitamin D ◽  
Delphi Study ◽  
Sun Exposure ◽  
Small Sample ◽  
Sample Sizes ◽  
Vitamin D Intake ◽  
Measurement Framework ◽  
Small Sample Sizes

Background: While studying the etiology of multiple sclerosis (MS) in children has several methodological advantages over studying etiology in adults, studies are limited by small sample sizes. Objective: Using a rigorous methodological process, we developed the Pediatric MS Tool-Kit, a measurement framework that includes a minimal set of core variables to assess etiological risk factors. Methods: We solicited input from the International Pediatric MS Study Group to select three risk factors: environmental tobacco smoke (ETS) exposure, sun exposure, and vitamin D intake. To develop the Tool-Kit, we used a Delphi study involving a working group of epidemiologists, neurologists, and content experts from North America and Europe. Results: The Tool-Kit includes six core variables to measure ETS, six to measure sun exposure, and six to measure vitamin D intake. The Tool-Kit can be accessed online ( www.maelstrom-research.org/mica/network/tool-kit ). Conclusion: The goals of the Tool-Kit are to enhance exposure measurement in newly designed pediatric MS studies and comparability of results across studies, and in the longer term to facilitate harmonization of studies, a methodological approach that can be used to circumvent issues of small sample sizes. We believe the Tool-Kit will prove to be a valuable resource to guide pediatric MS researchers in developing study-specific questionnaire

scholarly journals Genetic Mutations in Young Nonsmoking Patients With Oral Cavity Cancer: A Systematic Review

OTO Open ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 2473974X2097018
Author(s):  
Rohini R. Bahethi ◽  
Katelyn O. Stepan ◽  
Rachel Pinotti ◽  
Ryan Li ◽  
Nishant Agrawal ◽  
...  
Keyword(s):  
Risk Factors ◽  
Oral Cavity ◽  
Similar Rate ◽  
Genetic Alterations ◽  
Small Sample ◽  
Genetic Mutations ◽  
Case Control Studies ◽  
Level Of Evidence ◽  
Tp53 Mutations ◽  
Small Sample Sizes

Objective This investigation aims to review the known genetic mutations associated with oral cavity squamous cell carcinoma (OCSCC) in young adults with limited environmental risk factors (YLERs). Data Sources A comprehensive search strategy was designed to identify studies in MEDLINE (Ovid), Embase (Ovid), and Scopus from database inception to May 2017 that included adults ≤50 years of age with OCSCC and minimal tobacco use history (≤10 pack-years) who had their tumors genetically sequenced or mutational profiles analyzed. Review Methods Identified articles were screened by 2 reviewers. Quality of evidence was graded by the MINORS criteria for case-control studies; other studies were graded by assigning a level of evidence for gene mutation literature. Results Thirteen studies met our inclusion criteria, and 130 patients met our criteria for age and tobacco history. TP53 was the most commonly evaluated gene (10 of 13 studies) and the most frequently observed mutation. One study reported that nonsmokers had significantly fewer TP53 mutations, while 9 studies found no difference in the prevalence of TP53 mutations. No other mutations were found specific to this cohort. Conclusions TP53 mutations may occur at a similar rate in YLERs with OCSCC as compared with older patients or those with risk factors. However, few studies have aimed to characterize the genetic landscape of oral cavity tumors in this population, often with small sample sizes. Future studies are needed to explore unidentified genetic alterations leading to tumor susceptibility or alternative mechanisms of carcinogenesis.

Risk Factors for In-Hospital Mortality among a Cohort of Children with Clostridium difficile Infection

2015 ◽  
Vol 36 (10) ◽  
pp. 1183-1189 ◽  
Author(s):  
Neika Vendetti ◽  
Theoklis Zaoutis ◽  
Susan E. Coffin ◽  
Julia Shaklee Sammons
Keyword(s):  
Risk Factors ◽  
Clostridium Difficile ◽  
Hospital Mortality ◽  
Severe Disease ◽  
Treatment Strategies ◽  
Severity Of Illness ◽  
Median Number ◽  
Multivariable Logistic Regression Model ◽  
Risk Of Death ◽  
Increased Risk

OBJECTIVEThe incidence of Clostridium difficile infection (CDI) has increased and has been associated with poor outcomes among hospitalized children, including increased risk of death. The purpose of this study was to identify risk factors for all-cause in-hospital mortality among children with CDI.METHODSA multicenter cohort of children with CDI, aged 1–18 years, was established among children hospitalized at 41 freestanding children’s hospitals between January 1, 2006 and August 31, 2011. Children with CDI were identified using a validated case-finding tool (ICD-9-CM code for CDI plus C. difficile test charge). Only the first CDI-related hospitalization during the study period was used. Risk factors for all-cause in-hospital mortality within 30 days of C. difficile test were evaluated using a multivariable logistic regression model.RESULTSWe identified 7,318 children with CDI during the study period. The median age of this cohort was 6 years [interquartile range (IQR): 2–13]; the mortality rate was 1.5% (n=109); and the median number of days between C. difficile testing and death was 12 (IQR, 7–20). Independent risk factors for death included older age [adjusted odds ratio (OR, 95% confidence interval), 2.29 (1.40–3.77)], underlying malignancy [3.57 (2.36–5.40)], cardiovascular disease [2.06 (1.28–3.30)], hematologic/immunologic condition [1.89 (1.05–3.39)], gastric acid suppression [2.70 (1.43–5.08)], and presence of >1 severity of illness marker [3.88 (2.44–6.19)].CONCLUSIONPatients with select chronic conditions and more severe disease are at increased risk of death. Identifying risk factors for in-hospital mortality can help detect subpopulations of children that may benefit from targeted CDI prevention and treatment strategies.Infect Control Hosp Epidemiol 2015;36(10):1183–1189

The Use of Multiple Correspondence Analysis and K-means to Explore Associations between Risk Factors and Patient Characteristics in Colorectal Cancer (Preprint)

2021 ◽  
Author(s):  
Dídac Florensa ◽  
Jordi Mateo ◽  
Francesc Solsona ◽  
Teresa Pedrol ◽  
Miquel Mesas ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Correspondence Analysis ◽  
Multiple Correspondence Analysis ◽  
Clinical History ◽  
Patient Characteristics ◽  
Population Based ◽  
Cross Sectional ◽  
Risk Of Death ◽  
Increased Risk

BACKGROUND Previous works have shown that risk factors are associated with an increased risk of colorectal cancer. OBJECTIVE The purpose of this study was to detect these associations in the region of Lleida (Catalonia) using Multiple Correspondence Analysis (MCA) and K-means. METHODS The cross-sectional study was made up of 1,085 colorectal cancer episodes between 2012 and 2015, extracted from the Population-based Cancer Registry (PCR) for the province of Lleida (Spain), the Primary Care Centers database and the Catalan Health Service Register. The relations between risk factors and patient characteristics were identified using MCA and K-means. RESULTS The combination of these techniques helps to detect clusters of patients with similars risk factors. Risk of death is associated with elderly people and obesity or overweight. Stage III is related with people aged ≥65 and rural/semi-urban population while younger people were related with stage 0. CONCLUSIONS MCA and K-means were a significant help for detecting associations between risk factors and patient characteristics. These techniques have proven to be effective tools for analyzing the incidence of some factors in colorectal cancer. The outcomes obtained help to corroborate suspected trends, as well as stimulating new hypotheses about the previous clinical history and how to prevent it.

scholarly journals Risk factors for mortality in hospitalized patients with COVID-19 at the start of the pandemic in Belgium: a retrospective cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Karlijn van Halem ◽  
Robin Bruyndonckx ◽  
Jeroen van der Hilst ◽  
Janneke Cox ◽  
Paulien Driesen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Case Fatality Rate ◽  
Clinical Characteristics ◽  
Severe Disease ◽  
Univariate Analysis ◽  
Case Fatality ◽  
Fatality Rate ◽  
Risk Of Death ◽  
Increased Risk

Abstract Background Belgium was among the first countries in Europe with confirmed coronavirus disease 2019 (COVID-19) cases. Since the first diagnosis on February 3rd, the epidemic has quickly evolved, with Belgium at the crossroads of Europe, being one of the hardest hit countries. Although risk factors for severe disease in COVID-19 patients have been described in Chinese and United States (US) cohorts, good quality studies reporting on clinical characteristics, risk factors and outcome of European COVID-19 patients are still scarce. Methods This study describes the clinical characteristics, complications and outcomes of 319 hospitalized COVID-19 patients, admitted to a tertiary care center at the start of the pandemic in Belgium, and aims to identify the main risk factors for in-hospital mortality in a European context using univariate and multivariate logistic regression analysis. Results Most patients were male (60%), the median age was 74 (IQR 61–83) and 20% of patients were admitted to the intensive care unit, of whom 63% needed invasive mechanical ventilation. The overall case fatality rate was 25%. The best predictors of in-hospital mortality in multivariate analysis were older age, and renal insufficiency, higher lactate dehydrogenase and thrombocytopenia. Patients admitted early in the epidemic had a higher mortality compared to patients admitted later in the epidemic. In univariate analysis, patients with obesity did have an overall increased risk of death, while overweight on the other hand showed a trend towards lower mortality. Conclusions Most patients hospitalized with COVID-19 during the first weeks of the epidemic in Belgium were admitted with severe disease and the overall case fatality rate was high. The identified risk factors for mortality are not easily amenable at short term, underscoring the lasting need of effective therapeutic and preventative measures.

scholarly journals Risk Factors for In-Hospital Mortality from COVID-19 Among Nursing Home Patients—An Urban Center Experience

2021 ◽  
Vol 1 (S1) ◽  
pp. s48-s48
Author(s):  
Amit Vahia ◽  
Mamta Sharma ◽  
Leonard Johnson ◽  
Ashish Bhargava ◽  
Louis Saravolatz ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Nursing Home ◽  
Hospital Mortality ◽  
Multivariable Analysis ◽  
Case Fatality ◽  
Severe Infection ◽  
Robust Immune Response ◽  
Risk Of Death ◽  
Nursing Home Patients

Background: As the COVID-19 pandemic continues, special attention is focused on high-risk patients. In this study, we assessed the risk factors for COVID-19 mortality in nursing home patients. Methods: In this retrospective cohort study, we reviewed the electronic medical records of SARS-COV-2 PCR–positive nursing-home patients between March 8 and June 14, 2020. The primary outcome was in-hospital mortality. Risk factors were compared between those who were discharged or died using the Student t test, the Mann-Whitney U test, χ2 analysis, and logistic regression. Results: Among 169 hospitalized nursing-home patients, the case fatality rate was 43.2%. The mean age was 72.3 ± 13.8 years; 92 patients (54.4%) were male; and 112 patients (66.3%) were black. Within the first day of hospitalization, 83 (49%) patients developed fever. On admission, 24 (14.2%) patients were hypotensive. Leukopenia, lymphopenia, and thrombocytopenia were present in 20 (12%), 91 (53%), and 40 (23.7%) patients, respectively. Among the inflammatory markers, elevations in CRP and ferritin levels occurred in 79% and 24%, respectively. Intensive care admission was needed for 40 patients (23.7%). Septic shock occurred in 25 patients (14.8%). Patients over the age of 70 were more likely to die than younger patients (OR, 2.2; 95% CI, 1.2– 4.1; P = .20). Patients with a fever on admission were more likely to die than those who were afebrile (OR, 2.03; 95% CI, 1.08–3.8; P = .03). Also, 66.7% hypotensive patients died compared to 39.3% normotensive patients (OR, 3.1; 95% CI, 1.2–7.7 P = .01). Intubated patients died more often than those not intubated, 78.4% versus 33.3%, respectively (OR=7.3, p < 0.001, CI 3.1, 17.2) Factors significantly associated with death included higher mean qSofa (p < 0.001), higher median Charlson scores (0.02), thrombocytopenia (p = 0.04) and lymphocytopenia (0.04). From multivariable logistic regression, independent factors associated with death were Charlson score (OR=1.2, p=0.05), qSofa (OR=2.0, p=0.004), thrombocytopenia (OR = 3.0, p = 0.01) and BMI less than 25 (OR = 3.5, p=0.002). Conclusions: Our multivariable analysis revealed that patients with a greater burden of comorbidities, lower BMI, higher qSOFA sepsis score, and thrombocytopenia had a higher risk of death, perhaps because of severe infection despite a robust immune response.Funding: NoDisclosures: None

scholarly journals An Epidemiological Analysis of Head Injuries in Taiwan

2018 ◽  
Vol 15 (11) ◽  
pp. 2457 ◽  
Author(s):  
I-Lin Hsu ◽  
Chung-Yi Li ◽  
Da-Chen Chu ◽  
Li-Chien Chien
Keyword(s):  
Risk Factors ◽  
Head Injury ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Rural Area ◽  
Head Injuries ◽  
Hospital Death ◽  
National Health Insurance System ◽  
Risk Of Death ◽  
Acute Head Injury

Traumatic head injuries occur frequently in Taiwan, having catastrophic consequences for the victims, their families, and society as a whole. However, little is known about the risk factors at the population level in Taiwan. The primary aim of this study was to obtain more information on these variables and their relationships. Another aim was to analyze the effects of independent variables such as sex, age, residency, pre-existing conditions, mechanisms of injury, associated injuries, and severity on the probability of in-hospital death. Using the 2007–2008 total admissions claim dataset from Taiwan’s National Health Insurance system, total admissions due to acute head injury were selected for further analysis. The obtained data included patient demographics and trauma hospitalization rate. A total of 99,391 patients were admitted with head injury, 48,792 of which had moderate-to-severe head injury. There were 4935 cases recorded as in-hospital mortality and the standardized in-hospital mortality rate was 10.7 deaths per 100,000 person-years. The mortality rate increased with age. After adjustments, male sex, age older than 54 years, living in a rural area, lower monthly income, a Charlson comorbidity index greater than one, being a pedestrian hit by a motor vehicle, fall from a height, and having significant chest, abdominal, or lower extremity injury increased the risk of death during admission. This population-based analysis provides information about the incidence rate and death rate for admissions in Taiwan due to acute head injury and the factors that affect in-hospital mortality. Our results that highlight the risk factors for adverse outcome can help us prevent or improve rural area trauma care of head injury patients in the future.

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