scholarly journals Risk factors for acute psychiatric readmission

1997 ◽  
Vol 21 (10) ◽  
pp. 600-603 ◽  
Author(s):  
Mandy Dixon ◽  
Emma Robertson ◽  
Mohan George ◽  
Femi Oyebode
Keyword(s):  
Risk Factors ◽  
Hospital Readmission ◽  
Readmission Rate ◽  
Service Planning ◽  
Living Alone ◽  
Retrospective Case ◽  
Psychiatric Readmission ◽  
Factors Associated ◽  
Hospital Readmission Rate ◽  
Discharge Against Medical Advice

A retrospective case note study explored readmissions to an acute psychiatric in-patient unit within six months of discharge. The study aimed to calculate a hospital readmission rate, to investigate the timing of readmissions, and to identify risk factors associated with readmission. The readmission rate was 27% with the majority of readmissions occurring within three months after discharge, suggesting the need for investigation of such early readmissions. The three factors found to predict readmission were: discharge against medical advice, number of previous admissions, and living alone or with family rather than in care. Implications for hospital service planning are considered.

Hospital readmission rate for febrile neutropenia (FN) following high dose cytarabine (HiDAC) consolidation chemotherapy for acute myeloid leukemia (AML).

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18513-e18513
Author(s):  
Caitlin Siebenaller ◽  
Tomas Radivoyevitch ◽  
Connie Cheng ◽  
Hetty Carraway ◽  
Sudipto Mukherjee ◽  
...  
Keyword(s):  
Hospital Readmission ◽  
Myeloid Leukemia ◽  
Readmission Rate ◽  
Treatment Cycle ◽  
High Dose ◽  
Consolidation Chemotherapy ◽  
Readmission Rates ◽  
Factors Associated ◽  
Hospital Readmission Rate ◽  
High Dose Cytarabine

e18513 Background: FN is an anticipated complication of consolidation with HiDAC for AML, though precise descriptions of incidence, type, and severity of infection leading to FN are lacking. Since AML patients (pts) with FN after HiDAC are routinely readmitted to the hospital, there is a likely impact on measures of quality and value in this population. Methods: Our primary aim was to define the rate of FN inpatient readmissions among all HiDAC cycles. Secondary aims included: estimating rates of all-cause readmissions, clinical (e.g., probable pneumonia per imaging) and microbiologically-documented infections, and identify pts-specific risk factors associated with readmission. Readmission per patient were modeled using Poisson regression, with means proportional to total cycles exposed, and logistic regression for the probability of FN per treatment cycle. Results: We identified 150 AML pts ≥ 18 years of age, who received at least one cycle of HiDAC consolidation (1000-3000 mg/m2 for six doses) in 2009-2016. The median age was 50 (range 19-69); 55% were female and 45% were male. For 417 HiDAC cycles analyzed (87% at 3000 mg/m2), all pts received flouroquinalone prophylaxis and the overall readmission rate was 49% (203/417), of which 86% (174/203) were for FN. Median time to FN hospital admission was 18 days (range 10-22) from the start of HiDAC. Of the 174 FN readmissions, 60% had documented infections. Of these infections, 35% were bacteremia, 29% other bacterial, 24% fungal, 6% sepsis, and 6% viral. Females had higher FN readmission rates (RR 1.7 (1.3, 2.4) p = 0.007), as did pts with higher BMI (RR 1.06 (1.01, 1.09) p = 0.005), while age and HiDAC dose were not associated with readmission. Only 34% of all readmissions were in the absence of a documented infection. Conclusions: The majority of FN readmissions were associated with clinical or microbiologically documented infections and are not avoidable. Females and pts with higher BMI were more likely to be readmitted. Readmission of AML pts following HiDAC is expected, and therefore, should be excluded from measures of value and quality.

scholarly journals Thirty‐day hospital readmission rate, reasons, and risk factors after acute inpatient cancer rehabilitation

2021 ◽  
Author(s):  
Jegy M. Tennison ◽  
Nahid J. Rianon ◽  
Joanna G. Manzano ◽  
Mark F. Munsell ◽  
Marina C. George ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Readmission ◽  
Readmission Rate ◽  
Cancer Rehabilitation ◽  
Day Hospital ◽  
Hospital Readmission Rate

Prevalence and risk factors for chalazion in an older veteran population

2021 ◽  
pp. bjophthalmol-2020-318420
Author(s):  
Sneh Patel ◽  
Natalia Tohme ◽  
Emmanuel Gorrin ◽  
Naresh Kumar ◽  
Brian Goldhagen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Tear Film ◽  
International Classification Of Diseases ◽  
Retrospective Case ◽  
Eyelid Margin ◽  
Factors Associated ◽  
Classification Of Diseases ◽  
Health Database ◽  
Irritable Bowel ◽  
The Impact

BackgroundChalazia are common inflammatory eyelid lesions, but their epidemiology remains understudied. This retrospective case–control study examined the prevalence, risk factors and geographic distribution of chalazia in a large veteran population.MethodsData on all individuals seen at a Veterans Affairs (VA) clinic between October 2010 and October 2015 were extracted from the VA health database. Subjects were grouped based on International Classification of Diseases, Ninth Revision (ICD-9) code for chalazion. Univariable logistic regression modelling was used to identify clinical and demographic factors associated with chalazion presence, followed by multivariable modelling to examine which factors predicted risk concomitantly. All cases were mapped across the continental US using geographic information systems modelling to examine how prevalence rates varied geographically.ResultsOverall, 208 720 of 3 453 944 (6.04%) subjects were diagnosed with chalazion during the study period. Prevalence was highest in coastal regions. The mean age of the population was 69.32±13.9 years and most patients were male (93.47%), white (77.13%) and non-Hispanic (93.72%). Factors associated with chalazion risk included smoking (OR=1.12, p<0.0005), conditions of the tear film (blepharitis (OR=4.84, p<0.0005), conjunctivitis (OR=2.78, p<0.0005), dry eye (OR=3.0, p<0.0005)), conditions affecting periocular skin (eyelid dermatitis (OR=2.95, p<0.0005), rosacea (OR=2.50, p<0.0005)), allergic conditions (history of allergies (OR=1.56, p<0.0005)) and systemic disorders (gastritis (OR=1.54, p<0.0005), irritable bowel syndrome (OR=1.45, p<0.0005), depression (OR=1.35, p<0.0005), anxiety (OR=1.31, p<0.0005)). These factors remained associated with chalazion risk when examined concomitantly.ConclusionPeriocular skin, eyelid margin and tear film abnormalities were most strongly associated with risk for chalazion. The impact of environmental conditions on risk for chalazion represents an area in need of further study.

scholarly journals Hospital Readmission in Patients With COVID-19

2021 ◽  
Author(s):  
Neda Rahimian ◽  
Mahshid Heidari ◽  
Nahid Hashemi-Madani ◽  
Nader Tavakoli ◽  
Moammad E Khamseh
Keyword(s):  
Risk Factors ◽  
Hospital Readmission ◽  
Underlying Disease ◽  
Control Groups ◽  
Factors Associated ◽  
Infection Age ◽  
Discharge Plan ◽  
Matched Case ◽  
And Control ◽  
Control Study

Abstract Objective: During the COVID-19 pandemic, the demand for hospital beds has exceeded substantially. Thus, we aimed to conduct this study to identify factors associated with the risk of readmission in order to introduce the best discharge plan for patients with high risk of hospital readmission. Method: This is a multicenter, case-control study included 1357 patients hospitalized with COVID-19 infection. Age-sex-matched case and control groups were paired at 1:2 ratios. COVID-19 readmission rate was assessed. Moreover, Logistic regression analysis was applied to determine the factors associated with readmission. Results: Of the 1357 patients, 99 (7.29%) subjects were readmitted. The most common cause of readmission was respiratory distress. The median (IQR) of the interval between hospital discharge and the second admission was 5 (2-16) days. Upon adjusting with the main risk factors, having at least one underlying disease and being treated with the corticosteroid (GC) were significantly associated with a higher rate of readmission (OR: 2.76, 95% CI :1.30- 5.87) and (OR:8.24, 95% CI :3.72- 18.22), respectively.Conclusion: Identification of Risk factors of COVID 19 readmission will improve resource utilization and patient care.

scholarly journals Age Based Trends for Unplanned Pediatric Rehospitalizations in the United States

2021 ◽  
Author(s):  
Nupur Amritphale ◽  
Amod Amritphale ◽  
Deepa Vasireddy ◽  
Mansi Batra ◽  
Mukul Sehgal ◽  
...  
Keyword(s):  
Hospital Readmission ◽  
Readmission Rate ◽  
Age Groups ◽  
The United States ◽  
Unplanned Readmission ◽  
Post Discharge ◽  
Readmission Rates ◽  
Discharge Care ◽  
Hospital Readmission Rate ◽  
Bowel Diseases

BACKGROUND AND OBJECTIVES: Hospital readmission rate helps to highlight the effectiveness of post- discharge care. There remains a paucity of plausible age based categorization especially for ages below one year for hospital readmission rates. METHODS: Data from 2017 Healthcare cost and utilization project National readmissions database was analyzed for ages 0-18 years. Logistic regression analysis was performed to identify predictors for unplanned early readmissions. RESULTS: We identified 5,529,389 inpatient pediatric encounters which were further divided into age group cohorts. The overall rate of readmissions was identified at 3.2%. Beyond infancy, the readmission rate was found to be 6.7%. Across all age groups, the major predictors of unplanned readmission were cancers, diseases affecting transplant recipients and sickle cell patients. It was determined that reflux, milk protein allergy, hepatitis and inflammatory bowel diseases were significant comorbidities leading to readmission. Anxiety, depression and suicidal ideation depicted higher readmission rates in those older than 13 years. Across ages 1-4 yrs, dehydration, asthma and bronchitis were negative predictors of unplanned readmission. CONCLUSIONS: Thirty-day unplanned readmissions remain a problem leading to billions of tax-payer-dollars lost per annum. Effective strategies for mandatory outpatient follow-up may help the financial aspect of care while also enhancing the quality of care.

scholarly journals 393. Changing Trends, Risk Factors, and Treatment Challenges in Staphylococcus aureus Septic Arthritis

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S202-S202
Author(s):  
Valerie Gobao ◽  
Mostafa Alfishawy ◽  
Neel Shah ◽  
Karin Byers ◽  
Mohamed Yassin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Staphylococcus Aureus ◽  
Drug Use ◽  
Positive Result ◽  
Septic Arthritis ◽  
Intravenous Drug ◽  
Intravenous Drug Use ◽  
Retrospective Case ◽  
Factors Associated ◽  
Rule Out

Abstract Background Staphylococcus aureus is a common organism in native septic arthritis. It is traditionally believed to be self-limited with rapid and aggressive debridement and appropriate antibiotic selection. The incidence of S. aureus septic arthritis is increasing, and further characterization is needed to improve diagnosis and treatment. For patients presenting with native S. aureus septic arthritis, we evaluated the reliability of methicillin-resistant S. aureus (MRSA) screening as a predictor to rule out MRSA septic arthritis, the risk factors associated with this disease, and the treatment and surgical outcomes. Methods A retrospective case–control study of patients diagnosed with septic arthritis in the UPMC health system (Pittsburgh, PA) between 2012 and 2016 was completed. The primary outcomes of interest were surgical intervention and the need to alter antibiotic treatment. Patient demographics, characteristics, and outcomes were recorded. Results A total of 215 cases of septic arthritis were identified, and 64% (n = 138) had S. aureus cultured. In this set, 36% (50/138) of these patients were identified with MRSA. Of the patients diagnosed with MRSA septic arthritis, 50% screened prior to admission had a positive result (8/16) and 48% screened during admission had a positive result (14/29). Compared with septic arthritis with other organisms, risk factors associated with S. aureus included history of intravenous drug use (OR: 4.3, CI: 1.7 to 10.8, P = 0.002) and being immunocompetent (OR: 0.3, CI: 0.1 to 0.6, P = 0.002). These infections were associated with concurrent infections of the spine (OR: 5.7, CI: 2.1 to 15.1, P = 0.0005). As compared with other organisms, there was a high probability of switching antibiotics during treatment (OR: 3.7, CI: 1.1 to 13.0, P = 0.04) and relapse of infection (OR: 4.2, CI: 1.2 to 14.6, P = 0.02). Conclusion S. aureus septic arthritis is associated with intravenous drug use, and not with immunosuppression. A negative MRSA screen does not rule out this organism. Concurrent spine infections are common. There is a high likelihood of infection relapse and that antibiotics will need to be altered during treatment. With the opioid epidemic, the incidence is likely to increase further. More work is needed to improve diagnosis and overcome treatment challenges. Disclosures All authors: No reported disclosures.

Blindness short after treatment of acute primary angle closure in China

2020 ◽  
pp. bjophthalmol-2020-316259
Author(s):  
Shuning Li ◽  
Guangxian Tang ◽  
Su Jie Fan ◽  
Gang Zhai ◽  
Jianhua Lv ◽  
...  
Keyword(s):  
Risk Factors ◽  
Time Window ◽  
Case Series ◽  
Critical Time ◽  
Education Level ◽  
Angle Closure ◽  
Retrospective Case ◽  
Acute Primary Angle Closure ◽  
Factors Associated ◽  
Primary Angle Closure

AimsTo study the risk factors associated with blindness after treatment of acute primary angle closure (APAC), and to identify the critical time window to decrease rate of blindness.MethodsIn this multicentre retrospective case series, 1030 consecutive subjects (1164 eyes) with APAC in China were recruited. The rates of blindness were analysed up to 3 months after treatment of APAC. A logistic regression was used to identify the risk factors associated with blindness, including age, gender, distance to hospital, rural or urban settings, treatment method, education level, time from symptom to treatment (TST, hours) and presenting intraocular pressure (IOP). The critical time window associated with a blindness rate of ≤1% was calculated based on a cubic function by fitting TST to the rate of blindness at each time point.ResultsThe rate of blindness after APAC was 12.54% after treatment. In multivariate regression, education level, TST and presenting IOP were risk factors for blindness (p=0.022, 0.004 and 0.001, respectively). The critical time window associated with a blindness rate of ≤1% was 4.6 hours.Conclusions and relevanceEducation level, TST and presenting IOP were risk factors for blindness after APAC. Timely medical treatment is key in reducing blindness after APAC.

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