Management of Inpatient Elevated Blood Pressures : A Systematic Review of Clinical Practice Guidelines.

BACKGROUND: Management of elevated blood pressure (BP) during hospitalization varies widely, with many hospitalized adults experiencing BPs higher than those recommended for the outpatient setting. PURPOSE: To systematically identify guidelines on elevated BP management in the hospital. DATA SOURCES: MEDLINE, Guidelines International Network, and specialty society websites from 1 January 2010 to 29 January 2024. STUDY SELECTION: Clinical practice guidelines pertaining to BP management for the adult and older adult populations in ambulatory, emergency department, and inpatient settings. DATA EXTRACTION: Two authors independently screened articles, assessed quality, and extracted data. Disagreements were resolved via consensus. Recommendations on treatment targets, preferred antihypertensive classes, and follow-up were collected for ambulatory and inpatient settings. DATA SYNTHESIS: Fourteen clinical practice guidelines met inclusion criteria (11 were assessed as high-quality per the AGREE II [Appraisal of Guidelines for Research & Evaluation II] instrument), 11 provided broad BP management recommendations, and 1 each was specific to the emergency department setting, older adults, and hypertensive crises. No guidelines provided goals for inpatient BP or recommendations for managing asymptomatic moderately elevated BP in the hospital. Six guidelines defined hypertensive urgency as BP above 180/120 mm Hg, with hypertensive emergencies requiring the addition of target organ damage. Hypertensive emergency recommendations consistently included use of intravenous antihypertensives in intensive care settings. Recommendations for managing hypertensive urgencies were inconsistent, from expert consensus, and focused on the emergency department. Outpatient treatment with oral medications and follow-up in days to weeks were most often advised. In contrast, outpatient BP goals were clearly defined, varying between 130/80 and 140/90 mm Hg. LIMITATION: Exclusion of non-English-language guidelines and guidelines specific to subpopulations. CONCLUSION: Despite general consensus on outpatient BP management, guidance on inpatient management of elevated BP without symptoms is lacking, which may contribute to variable practice patterns. PRIMARY FUNDING SOURCE: National Institute on Aging. (PROSPERO: CRD42023449250).

Trends and Disparities in Ambulatory Follow-Up After Cardiovascular Hospitalizations : A Retrospective Cohort Study.

BACKGROUND: Timely follow-up after cardiovascular hospitalization is recommended to monitor recovery, titrate medications, and coordinate care. OBJECTIVE: To describe trends and disparities in follow-up after acute myocardial infarction (AMI) and heart failure (HF) hospitalizations. DESIGN: Retrospective cohort study. SETTING: Medicare. PARTICIPANTS: Medicare fee-for-service beneficiaries hospitalized between 2010 and 2019. MEASUREMENTS: Receipt of a cardiology visit within 30 days of discharge. Multivariable logistic regression models were used to estimate changes over time overall and across 5 sociodemographic characteristics on the basis of known disparities in cardiovascular outcomes. RESULTS: The cohort included 1 678 088 AMI and 4 245 665 HF hospitalizations. Between 2010 and 2019, the rate of cardiology follow-up increased from 48.3% to 61.4% for AMI hospitalizations and from 35.2% to 48.3% for HF hospitalizations. For both conditions, follow-up rates increased for all subgroups, yet disparities worsened for Hispanic patients with AMI and patients with HF who were Asian, Black, Hispanic, Medicaid dual eligible, and residents of counties with higher levels of social deprivation. By 2019, the largest disparities were between Black and White patients (AMI, 51.9% vs. 59.8%, difference, 7.9 percentage points [pp] [95% CI, 6.8 to 9.0 pp]; HF, 39.8% vs. 48.7%, difference, 8.9 pp [CI, 8.2 to 9.7 pp]) and Medicaid dual-eligible and non-dual-eligible patients (AMI, 52.8% vs. 60.4%, difference, 7.6 pp [CI, 6.9 to 8.4 pp]; HF, 39.7% vs. 49.4%, difference, 9.6 pp [CI, 9.2 to 10.1 pp]). Differences between hospitals explained 7.3 pp [CI, 6.7 to 7.9 pp] of the variation in follow-up for AMI and 7.7 pp [CI, 7.2 to 8.1 pp]) for HF. LIMITATION: Generalizability to other payers. CONCLUSION: Equity-informed policy and health system strategies are needed to further reduce gaps in follow-up care for patients with AMI and patients with HF. PRIMARY FUNDING SOURCE: National Institute on Aging.

Differences in Primary Care Follow-up After Acute Care Discharge Within and Across Health Systems: a Retrospective Cohort Study.

BACKGROUND: Timely primary care follow-up after acute care discharge may improve outcomes. OBJECTIVE: To evaluate whether post-discharge follow-up rates differ among patients discharged from hospitals directly affiliated with their primary care clinic (same-site), other hospitals within their health system (same-system), and hospitals outside their health system (outside-system). DESIGN: Retrospective cohort study. PATIENTS: Adult patients of five primary care clinics within a 14-hospital health system who were discharged home after a hospitalization or emergency department (ED) stay. MAIN MEASURES: Primary care visit within 14 days of discharge. A multivariable Poisson regression model was used to estimate adjusted rate ratios (aRRs) and risk differences (aRDs), controlling for sociodemographics, acute visit characteristics, and clinic characteristics. KEY RESULTS: The study included 14,310 discharges (mean age 58.4 [SD 19.0], 59.5% female, 59.5% White, 30.3% Black), of which 57.7% were from the same-site, 14.3% same-system, and 27.9% outside-system. By 14 days, 34.5% of patients discharged from the same-site hospital received primary care follow-up compared to 27.7% of same-system discharges (aRR 0.88, 95% CI 0.79 to 0.98; aRD - 6.5 percentage points (pp), 95% CI - 11.6 to - 1.5) and 20.9% of outside-system discharges (aRR 0.77, 95% CI [0.70 to 0.85]; aRD - 11.9 pp, 95% CI - 16.2 to - 7.7). Differences were greater for hospital discharges than ED discharges (e.g., aRD between same-site and outside-system - 13.5 pp [95% CI, - 20.8 to - 8.3] for hospital discharges and - 10.1 pp [95% CI, - 15.2 to - 5.0] for ED discharges). CONCLUSIONS: Patients discharged from a hospital closely affiliated with their primary care clinic were more likely to receive timely follow-up than those discharged from other hospitals within and outside their health system. Improving care transitions requires coordination across both care settings and health systems.

Racial and Ethnic Disparities in Opioid Prescribing on Hospital Discharge Among Older Adults: A National Retrospective Cohort Study.

BACKGROUND: Disparities in opioid prescribing among racial and ethnic groups have been observed in outpatient and emergency department settings, but it is unknown whether similar disparities exist at discharge among hospitalized older adults. OBJECTIVE: To determine filled opioid prescription rates on hospital discharge by race/ethnicity among Medicare beneficiaries. DESIGN: Retrospective cohort study. PARTICIPANTS: Medicare beneficiaries 65 years or older discharged from hospital in 2016, without opioid fills in the 90 days prior to hospitalization (opioid-naïve). MAIN MEASURES: Race/ethnicity was categorized by the Research Triangle Institute (RTI), grouped as Asian/Pacific Islander, Black, Hispanic, other (American Indian/Alaska Native/unknown/other), and White. The primary outcome was an opioid prescription claim within 2 days of hospital discharge. The secondary outcome was total morphine milligram equivalents (MMEs) among adults with a filled opioid prescription. KEY RESULTS: Among 316,039 previously opioid-naïve beneficiaries (mean age, 76.8 years; 56.2% female), 49,131 (15.5%) filled an opioid prescription within 2 days of hospital discharge. After adjustment, Black beneficiaries were 6% less likely (relative risk [RR] 0.94, 95% CI 0.91-0.97) and Asian/Pacific Islander beneficiaries were 9% more likely (RR 1.09, 95% CI 1.03-1.14) to have filled an opioid prescription when compared to White beneficiaries. Among beneficiaries with a filled opioid prescription, mean total MMEs were lower among Black (356.9; adjusted difference - 4%, 95% CI - 7 to - 1%), Hispanic (327.0; adjusted difference - 7%, 95% CI - 10 to - 4%), and Asian/Pacific Islander (328.2; adjusted difference - 8%, 95% CI - 12 to - 4%) beneficiaries when compared to White beneficiaries (409.7). CONCLUSIONS AND RELEVANCE: Black older adults were less likely to fill a new opioid prescription after hospital discharge when compared to White older adults and received lower total MMEs. The factors contributing to these differential prescribing patterns should be investigated further.

Association of Diagnosed Dementia with Post-discharge Mortality and Readmission Among Hospitalized Medicare Beneficiaries.

BACKGROUND: Patients with dementia are frequently hospitalized and may face barriers in post-discharge care. OBJECTIVE: To determine whether patients with dementia have an increased risk of adverse outcomes following discharge. DESIGN: Retrospective cohort study. SUBJECTS: Medicare beneficiaries hospitalized in 2016. MAIN MEASURES: Co-primary outcomes were mortality and readmission within 30 days of discharge. Multivariable logistic regression models were estimated to assess the risk of each outcome for patients with and without dementia accounting for demographics, comorbidities, frailty, hospitalization factors, and disposition. KEY RESULTS: The cohort included 1,089,109 hospitalizations of which 211,698 (19.3%) were of patients with diagnosed dementia (median (IQR) age 83 (76-89); 61.5% female) and 886,411 were of patients without dementia (median (IQR) age 76 (79-83); 55.0% female). At 30 days following discharge, 5.7% of patients with dementia had died compared to 3.1% of patients without dementia (adjusted odds ratio (aOR) 1.21; 95% CI 1.17 to 1.24). At 30 days following discharge, 17.7% of patients with dementia had been readmitted compared to 13.1% of patients without dementia (aOR 1.02; CI 1.002 to 1.04). Dementia was associated with an increased odds of readmission among patients discharged to the community (aOR 1.07, CI 1.05 to 1.09) but a decreased odds of readmission among patients discharge to nursing facilities (aOR 0.93, CI 0.90 to 0.95). Patients with dementia who were discharged to the community were more likely to be readmitted than those discharged to nursing facilities (18.9% vs 16.0%), and, when readmitted, were more likely to die during the readmission (20.7% vs 4.4%). CONCLUSIONS: Diagnosed dementia was associated with a substantially increased risk of mortality and a modestly increased risk of readmission within 30 days of discharge. Patients with dementia discharged to the community had particularly elevated risk of adverse outcomes indicating possible gaps in post-discharge services and caregiver support.

Relative risks of adverse events among older adults receiving opioids versus NSAIDs after hospital discharge: A nationwide cohort study.

BACKGROUND: Although analgesics are initiated on hospital discharge in millions of adults each year, studies quantifying the risks of opioids and nonsteroidal anti-inflammatory drugs (NSAIDs) among older adults during this transition are limited. We sought to determine the incidence and risk of post-discharge adverse events among older adults with an opioid claim in the week after hospital discharge, compared to those with NSAID claims only. METHODS AND FINDINGS: We performed a retrospective cohort study using a national sample of Medicare beneficiaries age 65 and older, hospitalized in United States hospitals in 2016. We excluded beneficiaries admitted from or discharged to a facility. We derived a propensity score that included over 100 factors potentially related to the choice of analgesic, including demographics, diagnoses, surgeries, and medication coadministrations. Using 3:1 propensity matching, beneficiaries with an opioid claim in the week after hospital discharge (with or without NSAID claims) were matched to beneficiaries with an NSAID claim only. Primary outcomes included death, healthcare utilization (emergency department [ED] visits and rehospitalization), and a composite of known adverse effects of opioids or NSAIDs (fall/fracture, delirium, nausea/vomiting, complications of slowed colonic motility, acute renal failure, and gastritis/duodenitis) within 30 days of discharge. After propensity matching, there were 13,385 beneficiaries in the opioid cohort and 4,677 in the NSAID cohort (mean age: 74 years, 57% female). Beneficiaries receiving opioids had a higher incidence of death (1.8% versus 1.1%; relative risk [RR] 1.7 [1.3 to 2.3], p < 0.001, number needed to harm [NNH] 125), healthcare utilization (19.0% versus 17.4%; RR 1.1 [1.02 to 1.2], p = 0.02, NNH 59), and any potential adverse effect (25.2% versus 21.3%; RR 1.2 [1.1 to 1.3], p < 0.001, NNH 26), compared to those with an NSAID claim only. Specifically, they had higher relative risk of fall/fracture (4.5% versus 3.4%; RR 1.3 [1.1 to 1.6], p = 0.002), nausea/vomiting (9.2% versus 7.3%; RR 1.3 [1.1 to 1.4], p < 0.001), and slowed colonic motility (8.0% versus 6.2%; RR 1.3 [1.1 to 1.4], p < 0.001). Risks of delirium, acute renal failure, and gastritis/duodenitis did not differ between groups. The main limitation of our study is the observational nature of the data and possibility of residual confounding. CONCLUSIONS: Older adults filling an opioid prescription in the week after hospital discharge were at higher risk for mortality and other post-discharge adverse outcomes compared to those filling an NSAID prescription only.

Generalists as Clinical Physiologists: Bringing Science Back to the Bedside.

BACKGROUND: Few generalists engage in basic science research or feel comfortable teaching physiology at the bedside. This may reflect a lack of understanding or confidence teaching physiologic principles. AIM: To inspire general internists to relearn and teach physiology in clinical practice. SETTING: An active biomedical research laboratory. PARTICIPANTS: We educated 67 faculty participants (4 primary care, 59 hospitalists, and 4 other specialties) from 24 medical centers, representing 17 states. PROGRAM DESCRIPTION: The 5-day course was structured around re-learning basic physiology principles and developing teaching skills. Participants engaged in hands-on experiments through 4 modules using aquatic species, each paired with a physiology content primer. Participants also developed teaching scripts based on their experiments. PROGRAM EVALUATION: Post-course surveys revealed that 97% felt confident teaching physiology at the bedside, 100% felt the course enhanced their understanding of the mechanisms of disease, and there was a significant improvement in self-reported teaching ability. DISCUSSION: An immersive, hands-on faculty development course that integrated physiology with clinical decision-making increased participants' comfort level and self-rated ability to teach and incorporate physiology in their clinical work. We believe faculty development is one potential solution to the growing chasm between clinicians and scientists in general medicine.

Incidence and risk factors for PTT prolongation in patients receiving low-dose unfractionated heparin thromboprophylaxis.

Low-dose unfractionated heparin (LDUH) prophylaxis decreases the incidence of venous thromboembolism (VTE) in hospitalized patients, but increases the risk of bleeding events. Patients who develop a prolonged activated partial thromboplastin time (aPTT) while on LDUH may be at higher risk for bleeding complications. To determine the incidence and risk factors for aPTT prolongation in hospitalized patients receiving LDUH thromboprophylaxis, we performed a retrospective pharmacoepidemiologic cohort study of adult patients admitted to an academic medical center from September 2013 through September 2015. Among 3857 patients with at least one aPTT checked within 24 h of LDUH administration, aPTT prolongation > 1.5 times the upper limit of normal occurred in 131 (3.4%). Age 68-78 years (OR 1.6, 95% CI 1.01-2.4), age > 78 years (OR 1.9, 95% CI 1.3-2.9), female gender (OR 1.9, 95% CI 1.4-2.5), black race (OR 1.6, 95% CI 1.1-2.3), low BMI (OR 1.8, 95% CI 1.3-2.5), being admitted to a surgical service (OR 0.5, 95% CI 0.3-0.8), and receipt of high-dose (> 10,000 units in a day) unfractionated heparin prophylaxis (OR 1.4, 95% CI 1.003-2.0), were independently associated with aPTT prolongation after LDUH exposure. LDUH VTE prophylaxis is associated with aPTT prolongation in 3.4% of general hospitalized patients. We demonstrated several factors independently associated with aPTT prolongation. Monitoring aPTT levels may be indicated for select patients on LDUH thromboprophylaxis who are at high risk or consequence of bleeding and for aPTT prolongation.

Association between Opioids Prescribed to Medical Inpatients with Pain and Long-Term Opioid Use.

OBJECTIVES: Opioid receipt during medical hospitalizations may be associated with subsequent long-term use. Studies, however, have not accounted for pain, which may explain chronic use. The objective of this study was to identify the association between opioid exposure during a medical hospitalization and use 6 to 12 months later. METHODS: This was an observational cohort study using electronic health record data from 10 hospitals in the Cleveland Clinic Health System in 2016. Eligible patients were opioid-naïve adults with pain age 18 years and older, admitted to a medical service. Outcomes were opioid receipt during hospitalization and on discharge, and long-term opioid use, defined as ≥2 prescriptions for at least 30 pills 6 to 12 months posthospitalization. We estimated the odds of long-term opioid use by opioid exposure during the hospitalization. Models controlled for patient demographic and clinical characteristics, including patient-reported pain. RESULTS: Among the 2971 patients in the sample, 64% received opioids during their hospitalization and 28% were discharged with opioids. Overall, 3% of patients had long-term use. Higher pain score was associated with greater odds of long-term use (adjusted odds ratio [aOR] per point increase 1.11; 95% confidence interval [CI] 1.03-1.19). No patient factors were associated with long-term use. Receipt of an opioid during a hospitalization only was not associated with long-term use (aOR 1.44, 95% CI 0.81-2.57), but receipt at discharge was (aOR 1.96, 95% CI 1.08-3.56). CONCLUSIONS: Although opioid receipt at discharge was associated with long-term use, the number of patients this applied to was small. Pain severity was an important predictor of long-term use and should be accounted for in future studies.

Disparities in United States hospitalizations for serious infections in patients with and without opioid use disorder: A nationwide observational study.

BACKGROUND: Patients with opioid use disorder (OUD) who are hospitalized for serious infections requiring prolonged intravenous antibiotics may face barriers to discharge, which could prolong hospital length of stay (LOS) and increase financial burden. We investigated differences in LOS, discharge disposition, and charges between hospitalizations for serious infections in patients with and without OUD. METHODS AND FINDINGS: We utilized the 2016 National Inpatient Sample-a nationally representative database of all discharges from US acute care hospitals. The population of interest was all hospitalizations for infective endocarditis, epidural abscess, septic arthritis, or osteomyelitis. The exposure was OUD, and the primary outcome was LOS until discharge, assessed by using a competing risks analysis to estimate adjusted hazard ratios (aHRs). Adjusted odds ratio (aOR) of discharge disposition and adjusted differences in hospital charges were also reported. Of 95,470 estimated hospitalizations for serious infections (infective endocarditis, epidural abscess, septic arthritis, and osteomyelitis), the mean age was 49 years and 35% were female. 46% had Medicare (government-based insurance coverage for people age 65+ years), and 70% were non-Hispanic white. After adjustment for potential confounders, OUD was associated with a lower probability of discharge at any given LOS (aHR 0.61; 95% CI 0.59-0.63; p < 0.001). OUD was also associated with lower odds of discharge to home (aOR 0.38; 95% CI 0.33-0.43; p < 0.001) and higher odds of discharge to a post-acute care facility (aOR 1.85; 95% CI 1.57-2.17; p < 0.001) or patient-directed discharge (also referred to as "discharge against medical advice") (aOR 3.47; 95% CI 2.80-4.29; p < 0.001). There was no significant difference in average total hospital charges, though daily hospital charges were significantly lower for patients with OUD. Limitations include the potential for unmeasured confounders and the use of billing codes to identify cohorts. CONCLUSIONS: Our findings suggest that among hospitalizations for some serious infections, those involving patients with OUD were associated with longer LOS, higher odds of discharge to post-acute care facilities or patient-directed discharge, and similar total hospital charges, despite lower daily charges. These findings highlight opportunities to improve care for patients with OUD hospitalized with serious infections, and to reduce the growing associated costs.

Predicting Patients at Risk for Prolonged Hospital Stays.

BACKGROUND: Patients with prolonged hospitalizations account for 14% of all hospital days in US hospitals. Predicting which medical patients are at risk for prolonged hospitalizations would allow early proactive management to reduce their length of stay. METHODS: Using the National Inpatient Sample, we examined risk factors for prolonged hospitalizations among adults hospitalized on the medicine service in 2014. We defined prolonged hospitalizations as those lasting 21 days or longer. We divided the sample into derivation and validation sets, and used logistic regression to identify significant risk factors in the derivation set, which were validated in the validation set. We used the estimates from the model to derive a risk score for prolonged hospitalizations. RESULTS: Our sample included 2,997,249 hospitalizations (median age of 66 y, 53.5% female). 1.2% of hospitalizations were 21 days or longer. Patients with prolonged hospitalizations were younger, and had a greater number of chronic diseases. A prolonged hospitalization risk score, derived from the many significant predictors in our model, performed well in discriminating between prolonged and nonprolonged hospitalizations, with c-statistics of 0.80 in both the derivation and validation sets. CONCLUSIONS: Our predictive model using readily available administrative data was able to discriminate between prolonged and nonprolonged hospitalizations in a national sample of medical patients, and performed well on internal validation. If prospectively validated, such a tool could be of use to hospitals and researchers interested in targeting development, testing, and/or deployment of programs to reduce length of stay.

Risk Factors for Severe Opioid-Related Adverse Events in a National Cohort of Medical Hospitalizations.

BACKGROUND: Opioids are a leading cause of adverse drug events in the hospital. Guidelines recommend that physicians assess the risks of opioids and discuss them with patients when considering opioid use. There are no studies examining patient- and prescribing-related risk factors for opioid-related adverse drug events (ORADEs) in hospitalized medical patients. OBJECTIVE: To identify independent risk factors for severe ORADEs in hospitalized medical patients. DESIGN: Retrospective cohort study. PATIENTS: Medical patients hospitalized at US, non-federal, and acute care facilities, with at least one pharmacy charge for an opioid during hospitalization. We excluded patients with metastatic malignancy, hospice, or palliative care billing codes. MAIN MEASURES: We used Cox proportional hazards modeling to identify risk factors for severe ORADEs, defined by a pharmacy charge for naloxone. Candidate risk factors were chosen a priori, based on clinical grounds and prior literature. KEY RESULTS: Among 731,208 hospitalizations (median age 60, 56.5% female), a severe ORADE occurred in 2727 (0.4%). Independent risk factors included patient characteristics (advanced age, female gender), comorbidities (congestive heart failure, opioid abuse/dependence, non-opioid drug abuse/dependence, psychosis, depression, obstructive sleep apnea), organ failures on admission (respiratory failure, shock/hypotension, renal failure, hepatic failure, acidosis, and neurologic failure), medication co-administrations (antipsychotics and short-acting benzodiazepines), and characteristics of the opioid prescriptions themselves (total dose for the day, parenteral route of administration, and receipt of multiple types of opioids in a day). Although a risk prediction model derived from these factors performed well on stratified k-fold cross-validation (average c-statistics 0.68-0.71), the low incidence of the outcome limited the positive predictive value of the risk score. CONCLUSIONS: In this national cohort of medical patients, we identified several risk factors for ORADEs that can be used to inform physician decision-making, conversations with patients about risk, and development and targeting of harm reduction strategies for at-risk populations.

Preventability of Early Versus Late Hospital Readmissions in a National Cohort of General Medicine Patients.

Background: Many experts believe that hospitals with more frequent readmissions provide lower-quality care, but little is known about how the preventability of readmissions might change over the postdischarge time frame. Objective: To determine whether readmissions within 7 days of discharge differ from those between 8 and 30 days after discharge with respect to preventability. Design: Prospective cohort study. Setting: 10 academic medical centers in the United States. Patients: 822 adults readmitted to a general medicine service. Measurements: For each readmission, 2 site-specific physician adjudicators used a structured survey instrument to determine whether it was preventable and measured other characteristics. Results: Overall, 36.2% of early readmissions versus 23.0% of late readmissions were preventable (median risk difference, 13.0 percentage points [interquartile range, 5.5 to 26.4 percentage points]). Hospitals were identified as better locations for preventing early readmissions (47.2% vs. 25.5%; median risk difference, 22.8 percentage points [interquartile range, 17.9 to 31.8 percentage points]), whereas outpatient clinics (15.2% vs. 6.6%; median risk difference, 10.0 percentage points [interquartile range, 4.6 to 12.2 percentage points]) and home (19.4% vs. 14.0%; median risk difference, 5.6 percentage points [interquartile range, -6.1 to 17.1 percentage points]) were better for preventing late readmissions. Limitation: Physician adjudicators were not blinded to readmission timing, community hospitals were not included in the study, and readmissions to nonstudy hospitals were not included in the results. Conclusion: Early readmissions were more likely to be preventable and amenable to hospital-based interventions. Late readmissions were less likely to be preventable and were more amenable to ambulatory and home-based interventions. Primary Funding Source: Association of American Medical Colleges.

Physician Perspectives on Factors Contributing to Readmissions and Potential Prevention Strategies: A Multicenter Survey.

BACKGROUND: The transition out of the hospital is a vulnerable time for patients, relying heavily on communication and coordination of resources across care settings. Understanding the perspectives of inpatient and outpatient physicians regarding factors contributing to readmission and potential preventive strategies is crucial in designing appropriately targeted readmission prevention efforts. OBJECTIVE: To examine and compare inpatient and outpatient physician opinions regarding reasons for readmission and interventions that might have prevented readmission. DESIGN: Cross-sectional multicenter study. PARTICIPANTS: We identified patients readmitted to general medicine services within 30 days of discharge at 12 US academic medical centers, and surveyed the primary care physician (PCP), discharging physician from the index admission, and admitting physician from the readmission regarding their endorsement of pre-specified factors contributing to the readmission and potential preventive strategies. MAIN MEASURES: We calculated kappa statistics to gauge agreement between physician dyads (PCP-discharging physician, PCP-admitting physician, and admitting-discharging physician). KEY RESULTS: We evaluated 993 readmission events, which generated responses from 356 PCPs (36 % of readmissions), 675 discharging physicians (68 % of readmissions), and 737 admitting physicians (74 % of readmissions). The most commonly endorsed contributing factors by both PCPs and inpatient physicians related to patient understanding and ability to self-manage. The most commonly endorsed preventive strategies involved providing patients with enhanced post-discharge instructions and/or support. Although PCPs and inpatient physicians endorsed contributing factors and potential preventive strategies with similar frequencies, agreement among the three physicians on the specific factors and/or strategies that applied to individual readmission events was poor (maximum kappa 0.30). CONCLUSIONS: Differing opinions among physicians on factors contributing to individual readmissions highlights the importance of communication between inpatient and outpatient providers at discharge to share their different perspectives, and suggests that multi-faceted, broadly applied interventions may be more successful than those that rely on individual providers choosing specific services based on perceived risk factors.

Utility of Emergency Department Use of Abdominal Pelvic Computed Tomography in the Management of Crohn's Disease.

GOAL: The primary aim of this study was to determine predictors of clinically significant computed tomography (CT) scans, paying particular attention to findings of previous CT scans. BACKGROUND: Use of CT to assess patients with Crohn's disease (CD) in the Emergency Department (ED) is both costly and exposes patients to high levels of ionizing radiation while not clearly improving outcomes. STUDY: Patients with CD who underwent CT scan in the Emergency Department from 2008 to 2011 at a tertiary referral center were assessed for clinically significant findings. A multivariable generalized estimating equation model with logit link and exchangeable working correlation structure was constructed to assess for independent predictors of CT scans with clinically significant findings. RESULTS: A total of 118 patients with CD underwent 194 CT scans. Ninety-two of 194 (47%) CT scans demonstrated clinically significant findings. Predictors of clinically significant CT scans included ileal disease involvement [odds ratios (OR) 3.47, P=0.01] and white blood cell count >12 (OR 2.1, P=0.03). Most notably, patients with a CT scan without clinically significant findings performed in the preceding month were significantly less likely to have a clinically significant CT scan (OR 0.23, P=0.005). CONCLUSIONS: Patients with CD who had a CT scan without significant findings the month prior are unlikely to have clinically significant CT findings. Ileal disease and an elevated white blood cell are predictive of clinically significant CT scans.

Acid-suppressive medication use in acute stroke and hospital-acquired pneumonia.

OBJECTIVE: Pneumonia is a morbid complication of stroke, but evidence-based strategies for its prevention are lacking. Acid-suppressive medications have been associated with increased risk for nosocomial pneumonia in hospitalized patients. It is unclear whether these results can be extrapolated to stroke patients, where other factors strongly modulate pneumonia risk. We investigated the association between acid-suppressive medication and hospital-acquired pneumonia in patients with acute stroke. METHODS: All patients hospitalized with acute ischemic stroke or intracerebral hemorrhage in a large, urban academic medical center in Boston, Massachusetts from June 2000 to June 2010 who were ≥18 years of age and hospitalized for ≥2 days were eligible for inclusion. Acid-suppressive medication use was defined as any pharmacy charge for a proton-pump inhibitor or histamine-2 receptor antagonist. Multivariate logistic regression was used to control for confounders. The main outcome measure was hospital-acquired pneumonia, defined via International Classification of Diseases, Ninth Revision, Clinical Modification codes. RESULTS: The cohort comprised 1,676 admissions. Acid-suppressive medication was ordered in 1,340 (80%) and hospital-acquired pneumonia occurred in 289 (17.2%). The unadjusted incidence of hospital-acquired pneumonia was higher in the group exposed to acid-suppressive medication compared to those unexposed (20.7% vs 3.6%, odds ratio [OR] = 7.0, 95% confidence interval [CI] = 3.9-12.7). After adjustment, the OR of hospital-acquired pneumonia in the exposed group was 2.3 (95% CI = 1.2-4.6). The association was significant for proton-pump inhibitors (OR = 2.7, 95% CI = 1.4-5.4), but not for histamine-2 receptor antagonists (OR = 1.6, 95% CI = 0.8-3.4). INTERPRETATION: In this large hospital-based cohort of patients presenting with acute stroke, acid-suppressive medication use was associated with increased odds of hospital-acquired pneumonia.