scholarly journals 3442 Among Hospitalized Patients, Cannabis use is Associated with Reduced risk of Clostridium Difficile infection

2019 ◽  
Vol 3 (s1) ◽  
pp. 33-34
Author(s):  
Adeyinka Charles Adejumo ◽  
Terence Ndonyi Bukong

OBJECTIVES/SPECIFIC AIMS: Clostridium Difficile Infection (CDI), a prevalent cause of diarrhea, is the most notorious hospital-acquired infection, resulting in an alarming mortality and health care utilization rates. Herein, we investigate the impact of cannabis use, which is gaining significant legalization for recreational use, on the risk of CDI. METHODS/STUDY POPULATION: We selected adult records (age ≥ 18 years) from the Nationwide Inpatient Sample 2014, and identified cannabis users and other clinical conditions using ICD-9-CM codes. With multivariate logistic modeling, we generated propensity scores for cannabis users and matched them to non-users in a 1:1 ratio (104,936:104,936). We then estimated the adjusted relative risk (aRR) for having CDI using conditional Possion regression models with generalized estimating equations [SAS 9.4]. RESULTS/ANTICIPATED RESULTS: Among the matched hospitalizations (n=209,872), cannabis usage was associated with a reduced incidence of CDI (505.8[464.7-550.6] vs. 694.9[645.8-747.70] per 100,000 hospitalizations), resulting in a 27% reduced risk of CDI (aRR:0.73[0.65-0.81]; p-value:<0.0001). Non-dependent and dependent cannabis users respectively had 22% and 78% reduced likelihood of CDI when compared to non-cannabis users (0.78[0.69-0.90] & 0.22[0.12-0.40]). Furthermore, dependent users had less risk of CDI compared to non-dependent users (0.28[0.16-0.51]). Comparatively, abusive use of other substances like alcohol and tobacco was associated with increased risk for CDI (1.30[1.13-1.49] & 1.24[1.10-1.40]) DISCUSSION/SIGNIFICANCE OF IMPACT: Unlike alcohol and tobacco abuse which are associated with elevated risk for CDI, cannabis use, is related to a decreased risk of CDI amongst hospitalized patients. Further prospective and molecular mechanistic studies are required to elucidate how cannabis impacts CDI.

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 704-704
Author(s):  
Arjun Gupta ◽  
Raseen Tariq ◽  
Nivedita Arora ◽  
Ryan D. Frank ◽  
Muhammad S. Beg ◽  
...  

704 Background: Inpatients with gastrointestinal (GI) malignancies are at a high risk for Clostridium difficile infection (CDI) but the impact of CDI on outcomes in these patients needs elucidation. We analyzed the incidence of CDI and its impact on outcomes in GI cancer patients using the National Hospital Discharge Survey (NHDS) database from 2001 - 2010. Methods: NHDS collects clinical information on patients dismissed from non-Federal short-stay United States hospitals. Demographics, diagnoses (GI malignancies, CDI and comorbidities), length of stay (LOS), and dismissal information were abstracted using ICD-9 diagnosis and procedure codes. Weighted analyses were performed using SAS version 9.4. Results: Of an estimated 317.9 million unique hospitalizations; 4.6 million had a diagnosis of a GI malignancy (1.4%); median age 68 years, 46.1% female. CDI was more common in patients with GI malignancies compared to patients with no GI malignancy (1.05% vs 0.69%, aOR 1.16, 95% CI 1.15- 1.17, p < 0.0001). There was a significant increase in CDI incidence in GI cancer patients over the 10-year study period (72.7 in 2001-2002 to 109.1 in 2009-2010, per 10,000 discharges, p < 0001). In multivariable analysis, compared to GI cancer patients without CDI, GI cancer patients with CDI had a longer mean LOS (3.94 more days, 95% CI 3.31-4.56) and dismissal to a care facility (adjusted OR, 1.75; 95% CI, 1.71-1.79), but lower all-cause in-hospital mortality (adjusted OR, 0.76; 95% CI, 0.74-0.79), all p < 0.0001 Conclusions: In this national database of hospitalized patients, an increasing incidence of CDI in patients with GI malignancies was noted over the study period. CDI prolonged hospitalization, and was associated with increased dismissal to a care-facility. Lower rates of in-hospital mortality may represent early diagnosis due to vigilance or a milder form of CDI. Despite increased attention over the last few decades, CDI remained a serious infection in GI cancer patients, and merits appropriate prevention, management and follow-up.


2018 ◽  
Vol 5 (7) ◽  
Author(s):  
Margaret A Olsen ◽  
Dustin Stwalley ◽  
Clarisse Demont ◽  
Erik R Dubberke

Abstract Background Numerous studies have found increased risk of Clostridium difficile infection (CDI) with increasing age. We hypothesized that increased CDI risk in an elderly population is due to poorer overall health status with older age. Methods A total of 174 903 persons aged 66 years and older coded for CDI in 2011 were identified using Medicare claims data. The comparison population consisted of 1 453 867 uninfected persons. Potential risk factors for CDI were identified in the prior 12 months and organized into categories, including infections, acute noninfectious conditions, chronic comorbidities, frailty indicators, and health care utilization. Multivariable logistic regression models with CDI as the dependent variable were used to determine the categories with the biggest impact on model performance. Results Increasing age was associated with progressively increasing risk of CDI in univariate analysis, with 5-fold increased risk of CDI in 94–95-year-old persons compared with those aged 66–67 years. Independent risk factors for CDI with the highest effect sizes included septicemia (odds ratio [OR], 4.1), emergency hospitalization(s) (OR, 3.9), short-term skilled nursing facility stay(s) (OR, 2.7), diverticulitis (OR, 2.2), and pneumonia (OR, 2.1). Exclusion of age from the full model had no impact on model performance. Exclusion of acute noninfectious conditions followed by frailty indicators resulted in lower c-statistics and poor model fit. Further exclusion of health care utilization variables resulted in a large drop in the c-statistic. Conclusions Age did not improve CDI risk prediction after controlling for a wide variety of infections, other acute conditions, frailty indicators, and prior health care utilization.


2012 ◽  
Vol 5 ◽  
pp. CGast.S9588 ◽  
Author(s):  
Cheryl Durand ◽  
Kristine C. Willett ◽  
Alicia R. Desilets

Proton pump inhibitors (PPIs) are among the most common classes of medications prescribed. Though they were previously thought of as safe, recent literature has shown risks associated with their use including increased risk for Clostridium difficile infection, pneumonia, and fractures. Due to these risks, it is important to determine if PPIs are being used appropriately. This review evaluates seven studies in hospitalized patients. Additionally, this review evaluates literature pertaining to recently discovered adverse reactions; all studies found PPIs are being overutilized. Findings highlight the importance of evaluating appropriate therapy with these agents and recommending discontinuation if a proper indication does not exist.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18606-e18606
Author(s):  
Timothy J Donoghue ◽  
Amy L. Tin ◽  
Armin Shahrokni

e18606 Background: Understanding factors associated with poor surgical outcomes of older adults with cancer is necessary in identifying high risk patients and finding ways to mitigate poor outcomes following surgery. In this study, we evaluated whether frailty is associated with intensive postoperative healthcare utilization for this vulnerable population. Methods: This was a single hospital, retrospective cohort study, using the Memorial Sloan Kettering Frailty Index (MSK-FI) to define frailty, with higher MSK-FI corresponding to increased frailty. Multivariable logistic regression with random intercept models were used to assess the association between frailty and 30-day postoperative Intensive Care Unit (ICU) admission, and Specialized Advanced Care Unit (SACU) admission, separately. Covariates included surgical department, age, sex, surgical stress score, preoperative albumin level, and whether patients took a Beers criteria medication prior to surgery. Results: We identified 4417 patients over the age of 65 undergoing elective surgery between January 2015 and December 2018 at our institution and had a length of stay of at least one day. A quarter of patients had an MSK-FI score of 3 or greater. Among our patients, 3.8% (95% CI 3.2%, 4.4%), and 5.4% (95% CI 4.8%, 6.1%) were admitted to the ICU, and the SACU, respectively. We found evidence of an association between greater frailty and increased risk of ICU admission (OR per one-point increase in MSK-FI 1.44; 95% CI 1.31, 1.59; p-value < 0.001), and SACU admission (OR per one point increase in MSK-FI 1.46; 95% CI 1.33, 1.60; p-value < 0.001). For example, for a patient with an MSK-FI score of 2, the predicted risk of ICU admission is 2.2% and SACU admission is 1.1%, compared to 4.5% and 2.2%, respectively, for a patient with an MSK-FI score of 4, when all continuous covariates are set to the mean and the categorical covariates are set to the mode. Conclusions: Frailty based on the MSK-FI is associated with intensive postoperative care utilization in this population of older adults with cancer. Future studies should assess the impact of this information on surgery decision making for this vulnerable population.


2020 ◽  
Author(s):  
Dr. Animesh Ray ◽  
Dr. Komal Singh ◽  
Souvick Chattopadhyay ◽  
Farha Mehdi ◽  
Dr. Gaurav Batra ◽  
...  

BACKGROUND Seroprevalence of IgG antibodies against SARS-CoV-2 is an important tool to estimate the true extent of infection in a population. However, seroprevalence studies have been scarce in South East Asia including India, which, as of now, carries the third largest burden of confirmed cases in the world. The present study aimed to estimate the seroprevalence of anti-SARS-CoV-2 IgG antibody among hospitalized patients at one of the largest government hospital in India OBJECTIVE The primary objective of this study is to estimate the seroprevalence of SARS-CoV-2 antibody among patients admitted to the Medicine ward and ICU METHODS This cross-sectional study, conducted at a tertiary care hospital in North India, recruited consecutive patients who were negative for SARS-CoV-2 by RT-PCR or CB-NAAT. Anti-SARS-CoV-2 IgG antibody levels targeting recombinant spike receptor-binding domain (RBD) protein of SARS CoV-2 were estimated in serum sample by the ELISA method RESULTS A total of 212 hospitalized patients were recruited in the study with mean age (±SD) of 41.2 (±15.4) years and 55% male population. Positive serology against SARS CoV-2 was detected in 19.8%patients(95% CI 14.7-25.8). Residency in Delhi conferred a higher frequency of seropositivity 26.5% (95% CI 19.3-34.7) as compared to that of other states 8% (95% CI 3.0-16.4) with p-value 0.001. No particular age groups or socio-economic strata showed a higher proportion of seropositivity CONCLUSIONS Around, one-fifth of hospitalized patients, who were not diagnosed with COVID-19 before, demonstrated seropositivity against SARS-CoV-2. While there was no significant difference in the different age groups and socio-economic classes; residence in Delhi was associated with increased risk (relative risk of 3.62, 95% CI 1.59-8.21)


2021 ◽  
pp. 106002802110320
Author(s):  
Heather G. Allore ◽  
Danijela Gnjidic ◽  
Melissa Skanderson ◽  
Ling Han

Background Potentially inappropriate medication (PIMs) use is common in older inpatients and it may lead to increased risk of adverse drug events. Objectives To examine prevalence of PIMs at hospital discharge and its contribution to health care utilization and mortality within 30-days of hospital discharge. Methods This was a prospective cohort of 117 570 veterans aged ≥65 years and hospitalized in 2013. PIMs at discharge were categorized into central nervous system acting (CNS) and non-CNS. Outcomes within 30-days of hospital discharge were: (1) time to first acute care hospital readmission, and all-cause mortality, (2) an emergency room visit, and (3) ≥3 primary care clinic visits. Results The cohort’s mean age was 74.3 years (SD 8.1), with 51.3% exposed to CNS and 62.8% to non-CNS PIMs. Use of CNS and non-CNS PIMs, respectively, was associated with a reduced risk of readmission, with an adjusted hazard ratio (aHR) of 0.93 (95% CI = 0.89-0.96) for ≥2 (vs 0) CNS PIMs and an aHR of 0.85 (95% CI = 0.82-0.88) for ≥2 (vs 0) non-CNS PIMs. Use of CNS PIMs (≥2 vs 0) was associated with increased risk of mortality (aHR = 1.37 [95% CI = 1.25-1.51]), whereas non-CNS PIMs use was associated with a reduced risk of mortality (aHR = 0.75 [95% CI = 0.69-0.82]). Conclusion and Relevance PIMs were highly common in this veteran cohort, and the association with outcomes differed by PIMs. Thus, it is important to consider whether PIMs are CNS acting to optimize short-term posthospitalization outcomes.


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