Hospital practice最新文献

{"title":"Role of extracorporeal membrane oxygenation in adult respiratory failure: an overview","authors":"Suneesh C. Anand, D. Jayakumar, W. Aronow, D. Chandy","doi":"10.1080/21548331.2016.1151325","DOIUrl":"https://doi.org/10.1080/21548331.2016.1151325","url":null,"abstract":"ABSTRACT Extracorporeal membrane oxygenation (ECMO) provides complete or partial support of the heart and lungs. Ever since its inception in the 1960s, it has been used across all age groups in the management of refractory respiratory failure and cardiogenic shock. While it has gained widespread acceptance in the neonatal and pediatric physician community, ECMO remains a controversial therapy for Acute Respiratory Distress Syndrome (ARDS) in adults. Its popularity was revived during the swine flu (H1N1) pandemic and advancements in technology have contributed to its increasing usage. ARDS continues to be a potentially devastating condition with significant mortality rates. Despite gaining more insights into this entity over the years, mechanical ventilation remains the only life-saving, yet potentially harmful intervention available for ARDS. ECMO shows promise in this regard by offering less dependence on mechanical ventilation, thereby potentially reducing ventilator-induced injury. However, the lack of rigorous clinical data has prevented ECMO from becoming the standard of care in the management of ARDS. Therefore, the results of two large ongoing randomized trials, which will hopefully throw more light on the role of ECMO in the management of this disease entity, are keenly awaited. In this article we will provide a basic overview of the development of ECMO, the types of ECMO, the pathogenesis of ARDS, different ventilation strategies for ARDS, the role of ECMO in ARDS and the role of ECMO as a bridge to lung transplantation.","PeriodicalId":75913,"journal":{"name":"Hospital practice","volume":"11 1","pages":"76 - 85"},"PeriodicalIF":0.0,"publicationDate":"2016-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21548331.2016.1151325","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60073391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Multifactorial Approach to Reduce Cardiovascular Disease in Type 2 Diabetes Mellitus: Now More Than Ever","authors":"J. Basile","doi":"10.1080/21548331.2016.1141656","DOIUrl":"https://doi.org/10.1080/21548331.2016.1141656","url":null,"abstract":"ABSTRACT Managing cardiovascular (CV) risk is an important part of caring for patients with type 2 diabetes mellitus, as the disease itself confers CV risk. Many CV risk factors (such as hypertension, dyslipidemia, and obesity) have been found to be more common among individuals with diabetes than in the general population. A growing body of evidence provides guidance for clinicians on how to balance control of hyperglycemia with management of these risk factors. Newer classes of antihyperglycemic agents have been associated with beneficial effects on several CV risk factors; several studies evaluating the effect of these newer diabetic medications on CV outcomes have been published, and several more are in progress. While evidence continues to unfold about the benefits of risk factor control in patients with type 1 diabetes mellitus, this article reviews evidence related to risk-factor control in patients with type 2 diabetes mellitus as well as recent findings on the effect of newer drug classes on CV risk factors and outcomes. Favorably altering CV risk factors appears to improve outcomes, and is more important now than ever before.","PeriodicalId":75913,"journal":{"name":"Hospital practice","volume":"45 1","pages":"20 - 9"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21548331.2016.1141656","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60072574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Epidemiology and economics of adult patients hospitalized with urinary tract infections","authors":"S. Cardwell, Jared L. Crandon, D. Nicolau, Mitchell H McClure, M. Nailor","doi":"10.1080/21548331.2016.1133214","DOIUrl":"https://doi.org/10.1080/21548331.2016.1133214","url":null,"abstract":"Abstract Background: Urinary tract infections (UTI) are among the most common bacterial diseases worldwide, with significant clinical and economic burden. Surveillance of pathogen epidemiology and risk factors for resistant pathogens in the hospital setting may improve the management of UTI. Objective: To evaluate microbiology and antimicrobial susceptibility of UTI pathogens, with associated costs, in hospitalized patients. Methods: Patients diagnosed with UTI between July and September 2013 were retrospectively screened for clinical symptoms and treatment within 24 hours of admission, then categorized into groups: community acquired (Group 1); recent healthcare exposure (Group 2); or a history of identification of an extended-spectrum beta lactamase (ESBL)-producing organism (Group 3). Clinical, epidemiological, and financial data were compared between groups. Results: From 308 included patients, a total of 216 pathogens were identified. Escherichia coli was most commonly identified pathogen, but frequencies differed between groups (p = 0.002), as did those of ESBL-producing pathogens (p < 0.001) and Pseudomonas aeruginosa (p = 0.005). Appropriate empirical therapy also differed between groups (p = 0.003). Length of stay was longer for healthcare associated UTI with inappropriate empirical therapy (5.2 versus 6.3 days, p = 0.016). Increased cost was associated with factors other than antimicrobial costs. Intensive care unit (ICU) stay (p < 0.001), care facility at discharge (p = 0.001), Foley catheter (FC) present on admission (p = 0.002), and Charlson comorbidity index (CCI) (p = 0.017) predicted increased cost overall, while ICU stay (p < 0.001), time to appropriate therapy (p < 0.001), and CCI (p = 0.015) predicted higher cost in patients with pathogens identified. Conclusions: Changes in antimicrobial susceptibility are evident with exposure to healthcare, the presence of a FC, and a history of resistant pathogens. Risk-based empirical prescribing and rapid de-escalation may improve care and reduce costs.","PeriodicalId":75913,"journal":{"name":"Hospital practice","volume":"44 1","pages":"33 - 40"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21548331.2016.1133214","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60072404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hypertensive Urgencies and Emergencies in the Hospital Setting","authors":"Cynthia M. Cooper, A. Fenves","doi":"10.1080/21548331.2016.1141657","DOIUrl":"https://doi.org/10.1080/21548331.2016.1141657","url":null,"abstract":"Abstract The prevalence of hypertension in the general population has steadily climbed over the past several decades and hypertension is a primary or secondary diagnosis in nearly a fourth of hospitalized adults. Hospitalization is often a time of pertubation in a patient’s usual blood pressure control, with pain, anxiety and missed medications all risk factors for severe hypertension. Hospitalists are often faced with severe hypertension in a patient not previously known to them and this presents a challenge of how best to assess the clinical importance of blood pressure elevation. An additional challenge is the lack of literature to guide the optimal management of hypertension in inpatients. This review aims to describe the scope of the problem, to describe the near and long-term risks of overzealous blood pressure management, and to identify areas for future study.","PeriodicalId":75913,"journal":{"name":"Hospital practice","volume":"44 1","pages":"21 - 27"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21548331.2016.1141657","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60072601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Burden of Rehospitalization for Patients With Liver Cirrhosis","authors":"Archita P. Desai, N. Reau","doi":"10.1080/21548331.2016.1142828","DOIUrl":"https://doi.org/10.1080/21548331.2016.1142828","url":null,"abstract":"ABSTRACT Advanced liver disease is becoming more prevalent in the United States. This increase has been attributed largely to the growing epidemic of nonalcoholic fatty liver disease and an aging population infected with hepatitis C. Complications of cirrhosis are a major cause of hospital admissions and readmissions. It is important to target efforts for preventing rehospitalization toward patients with cirrhosis who are at the highest risk for readmission, such as those who have high Model for End-Stage Liver Disease scores, are at risk for fluid/electrolyte abnormalities or overt hepatic encephalopathy recurrence, and those who have comorbid conditions (e.g. diabetes). The heart failure management paradigm may provide valuable insights for managing patients with cirrhosis, given the extensive research on preventing hospital readmission and improving health care utilization in this subpopulation. As quality measures related to hospital readmissions for cirrhosis and its complications are adopted by the Centers for Medicare & Medicaid Services and private payers in the future, understanding drivers of hospital readmissions and health care utilization in this vulnerable population are key to improving quality measure performance.","PeriodicalId":75913,"journal":{"name":"Hospital practice","volume":"44 1","pages":"60 - 69"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21548331.2016.1142828","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60072775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictors of recurrent hypoglycemia following a severe hypoglycemic event among hospitalized patients","authors":"M. D'Netto, C. Murphy, A. Mitchell, K. Dungan","doi":"10.1080/21548331.2016.1130584","DOIUrl":"https://doi.org/10.1080/21548331.2016.1130584","url":null,"abstract":"ABSTRACT Objectives: Severe hypoglycemia is associated with poor hospital outcomes, but variables contributing to the adequacy of treatment have not been described. The objective of this study was to determine predictors of recurrent hypoglycemia among hospitalized patients with a severe hypoglycemic event. Methods: Patients with severe hypoglycemia (glucose <40 mg/dl) with a concomitant insulin order were identified using the study institution’s Information Warehouse. The primary outcome was the prevalence of recurrent hypoglycemia (defined as <70 mg/dl within 24 hours) and to identify independent predictors of recurrent hypoglycemia. Secondary outcomes included time to blood glucose recheck, time to blood glucose ≥70 mg/dl, and rebound hyperglycemia (defined as glucose >300 mg/dl within 24 hours). Multivariable linear and logistic regression models were performed. Results: A total of 129 patients with severe hypoglycemia were identified. The median time to repeat glucose measurement was 29 (IQR 15–61) minutes, while the time to resolution of hypoglycemia was 49 (IQR 26–103) minutes. Recurrent hypoglycemia occurred in 49% of patients, while 19% of patients experienced rebound hyperglycemia. Independent predictors of recurrent hypoglycemia included lower repeat glucose (p = 0.025), low glomerular filtration rate (p = 0.033), and lack of insulin adjustment (p = 0.012). Independent predictors of maximum glucose post-event were type 1 diabetes (p = 0.0003), history of any diabetes (p = 0.013), and total bolus dose of insulin (p < 0.0001). Overnight timing of events was the only predictor of shorter time to hypoglycemia resolution (p < 0.0001). Conclusions: Recurrent hypoglycemia following severe hypoglycemia is common in the hospital, suggesting the need for enhanced monitoring in such patients. Further research is needed to identify methods to reduce the incidence of recurrent hypoglycemia.","PeriodicalId":75913,"journal":{"name":"Hospital practice","volume":"44 1","pages":"1 - 8"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21548331.2016.1130584","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60072205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ambulatory Care Sensitive Hospitalizations among Medicaid Beneficiaries with Chronic Conditions","authors":"I. Chopra, T. L. Wilkins, U. Sambamoorthi","doi":"10.1080/21548331.2016.1144446","DOIUrl":"https://doi.org/10.1080/21548331.2016.1144446","url":null,"abstract":"ABSTRACT Objectives: This study examined the relationship between ambulatory care sensitive hospitalizations (ACSH) and patient-level and county-level variables. Methods: Utilizing a retrospective cohort approach, multi-state Medicaid claims data from 2007-2008 was used to examine ACSH at baseline and follow-up periods. The study cohort consisted of adult, non-elderly Medicaid beneficiaries with chronic physical conditions, who were continuously enrolled in fee-for-service programs, not enrolled in Medicare, and did not die during the study period (N=7,021). The dependent variable, ACSH, was calculated in the follow-up year using an algorithm from the Agency for Healthcare Research and Quality algorithm. Patient-level (demographic, health status, continuity of care) and county-level (density of healthcare providers and facilities, socio-economic characteristics, local economic conditions) factors were included as independent variables. Multivariable logistic regression models were used to examine the relationship between ACSH and independent variables. Results: In this study population, 8.2% had an ACSH. African-Americans were more likely to have an ACSH [AOR=1.55, 95% CI 1.16, 2.07] than Caucasians. Adults with schizophrenia were more likely to have an ACSH, compared to those without schizophrenia [AOR=1.54, 95% CI 1.16, 2.04]. Residents in counties with a higher number of community mental health centers [AOR=0.88, 95% CI 0.80, 0.97] and rural health centers [AOR=0.98, 95% CI 0.95, 0.99] were less likely to have an ASCH. Conclusions: Programs and interventions designed to reduce the risk of ACSH may be needed to target specific population subgroups and improve healthcare infrastructure.","PeriodicalId":75913,"journal":{"name":"Hospital practice","volume":"44 1","pages":"48 - 59"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21548331.2016.1144446","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60072663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early recognition of obstructive sleep apnea in patients hospitalized with COPD exacerbation is associated with reduced readmission","authors":"John J Konikkara, Robert Tavella, L. Willes, M. Kavuru, Sunil Sharma","doi":"10.1080/21548331.2016.1134268","DOIUrl":"https://doi.org/10.1080/21548331.2016.1134268","url":null,"abstract":"ABSTRACT Objectives: The combination of obstructive sleep apnea (OSA) and chronic obstructive pulmonary disease is known as the “overlap syndrome”, and results in frequent hospitalizations and worse prognosis. We hypothesized that early detection and treatment of this condition in hospitalized patients may reduce clinical events (hospital admissions and emergency room visits) Methods: Between April 2013 and January 2014 all patients consulted for COPD exacerbation and having a BMI of > 30 kg/m2 were screened for OSA. If high risk, patients underwent a polysomnography on discharge. Readmission rate in patients compliant with positive airway pressure was compared to patients who were deemed non-compliant based on objective data from the device. Results: Full polysomnogram data and compliance was available on 24 patients. The baseline characteristics were comparable between the compliant and non-compliant groups. The mean change in the total clinical events 6 months prior to intervention compared to 6 months following intervention was −2.1 ± 0.3 in the compliant group, compared to −0.8 ± 0.5 in the non-compliant group (p = 0.01). The mean change in the total clinical events 12 months prior to intervention compared to 12 months following intervention was −2.7 ± 0.5 in the compliant group, compared to −0.8 ± 0.6 in the non-compliant group (p = 0.03) Conclusion: In conclusion, our data suggest that early recognition and treatment of OSA in patients admitted with COPD exacerbation and compliant with PAP therapy is associated with reduced 6-month hospital readmission rates and emergency room visits. Screening for OSA in patients admitted with COPD exacerbation is a simple and early intervention that should be encouraged to help reduce hospital readmissions in this patient population.","PeriodicalId":75913,"journal":{"name":"Hospital practice","volume":"44 1","pages":"41 - 47"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21548331.2016.1134268","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60072520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does Using Complementary Health Insurance Affect Hospital Length of Stay? Evidence from Acute Coronary Syndrome Patients","authors":"M. Arefnezhad, Vahid Yazdi Feyzabadi, Enayatollah Homaie Rad, Z. Sepehri, Saeideh Pourmand, M. Rava","doi":"10.1080/21548331.2016.1143781","DOIUrl":"https://doi.org/10.1080/21548331.2016.1143781","url":null,"abstract":"ABSTRACT Background: Length of stay (LOS) is used as an indicator to show the efficacy of hospitals. An increase in hospitalized days is not cost effective and decreases the efficacy of hospitals. Using insurance has some side effects. One of these side effects is increasing the LOS. In this study we attempt to discover the effects of complementary health insurance (CHI) on LOS in patients with acute coronary syndrome (ACS). Methods: In this cross-sectional study, 260 patients were surveyed. By using Poisson regression, the effects of using complementary health insurance on LOS were examined. The effects of confounders were also controlled in the model. Results: The results of this study demonstrated that the relationship between use of CHI and LOS is direct. In addition, an increase in age and income also increases the LOS. The average LOS was 4.13 days, while it was 5.31 for CHI users, and 3.81 for CHI nonusers. Conclusion: Government budget is restricted and ACS treatments are costly. Decreasing LOS in ACS patients can help to spend the budget more effectively.","PeriodicalId":75913,"journal":{"name":"Hospital practice","volume":"44 1","pages":"28 - 32"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21548331.2016.1143781","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60073044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk factors associated with the timing of hospital readmission in an underserved low socioeconomic population","authors":"S. Clendennen, R. Bowden, Jackson O. Griggs, G. Morgan, M. R. Umstattd Meyer","doi":"10.1080/21548331.2015.1119024","DOIUrl":"https://doi.org/10.1080/21548331.2015.1119024","url":null,"abstract":"Abstract Objective: Compare risk factors of hospital readmission between 30-, 60- and 90-day readmission groups in a low socioeconomic population. Methods: Secondary data obtained from the Epic Systems database management system for patients who experienced a 30-, 60- or 90-day hospital readmission between 2006 and 2013. Risk factors analyzed included sex, race/ethnicity, follow-up status, age, BMI, systolic blood pressure, body temperature and pulse rate. Records for 2191 low-income patients (µ age = 44.5 years; 72.5% female; 10.1% African American, 26.2% Hispanic, 63.7% White) from a central Texas acute health and primary care facility. Results: The amount of time that passed between a patent’s initial hospital encounter and a follow-up visit had an effect in predicting both 60-day (OR = 1.055) and 90-day (OR = 1.088) hospital readmission. Patient race/ethnicity had an effect in predicting 90-day readmission. Hispanic patients had a lower likelihood of being readmitted after 90 days than being readmitted after 30 days as compared with White, non-Hispanic patients (OR = 0.688). Conclusions: Our study suggests that risk factors identified at 30 days are similar to those at 60 and 90 days, with the exception of follow-up status and race/ethnicity.","PeriodicalId":75913,"journal":{"name":"Hospital practice","volume":"43 1","pages":"284 - 289"},"PeriodicalIF":0.0,"publicationDate":"2015-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/21548331.2015.1119024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60072497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}