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Emergency Department Risk Model: Timely Identification of Patients for Outpatient Care Coordination

Emergency Department Risk Model: Timely Identification of Patients for Outpatient Care Coordination
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United States , New York , Olmsted County , Mayo Clinic In Rochester , Nevarez Sida , Maryam Zolnoori , Saturno Hern , Department Of Psychiatry , Health Care Strategies , School Of Nursing , R Archive Network , Bull World Health Organ , Emergency Department , Patient Health , Science Of Health Care Delivery , Patriciae Kern Center , International Classification Of Diseases , R Foundation For Statistical Computing , Clinical Classifications Software , Agency For Healthcare Research , Department Of Artificial Intelligence , Mathematica Policy Research , Division Of Integrated Behavioral Health , Front Public Health , Department Of Pediatric , Health Serv Res ,

Association Between Preoperative Hemodialysis Timing and Postoperative Mortality in Patients With End-stage Kidney Disease | Chronic Kidney Disease | JAMA

This retrospective cohort study assesses whether a longer interval between hemodialysis and subsequent surgery is associated with higher postoperative mortality ....

United States , Stanford University , Los Angeles , Arsiney Vasilev , Boehringer Ingelheim Lilly , University Of California , School Of Medicine , National Institute Of Diabetes , National Physician Fee Schedule Relative Value File , Stanford University School Of Medicine , Department Of Anesthesiology , Surgery Flags Software For Services , American Society Of Nephrology , Dana Farber Cancer Institute Novartis , R Foundation For Statistical Computing , National Institute , Centers For Medicare Medicaid Services , Clinical Classifications Software , National Institutes Of Health , David Geffen School Of Medicine , Bs Department Of Medicine , Us Census Bureau , National Kidney Foundation , American Community , Clinical Classifications Software For Services , Janssen Pharmaceuticals ,

Cureus | Hidradenitis Suppurativa in the United States: Insights From the National Inpatient Sample (2008-2017) on Contemporary Trends in Demographics, Hospitalization Rates, Chronic Comorbid Conditions, and Mortality

Background

Hidradenitis suppurativa (HS) is a clinical condition characterized by the formation of painful lumps under the skin. It often affects intertriginous areas like armpits and groin. There is a paucity of contemporary data on patient and hospital-level characteristics of HS in the United States.

Methods

We analyzed the Nationwide Inpatient Sample (NIS) for retrospective analysis to calculate the frequency and yearly rates of HS hospitalizations, demographic variations, rates of comorbidities, and length of stay.

Results

The rate of hospitalizations with HS as a primary diagnosis increased from 7.9 per 100,000 all-cause hospitalizations in 2008 to 11.6 per 100,000 all-cause hospitalizations in 2017 (p < 0.0001). The mean age ± standard error of hospitalized patients was 39.5 ± 0.2 years. The age group of 18-34 years was the most affected. Women showed a higher preponderance of the disease than men (56.6% vs. 43.5%, p < ....

District Of Columbia , United States , North Carolina , South Carolina , West Virginia , Hidradenitis Suppurativa , Clinical Classifications Software , International Classification Of Diseases , Health Insurance Portability , Us Census Bureau , 3m Health Information Systems , Provider Organization , Health Maintenance Organization , Patient Refined Diagnosis Related Group , Nationwide Inpatient Sample , Healthcare Cost , Utilization Project , International Classification , Tenth Revision , Clinical Modification , Health Information Systems , Accountability Act , Native Americans , Southeast Minnesota , African Americans , South Atlantic ,

Trajectories of prescription opioid dose and risk of opioid-related adverse events among older Medicare beneficiaries in the United States: A nested case–control study

Yu-Jung Jenny Wei and colleagues study patterns of prescribed opioid doses in the 6 months before an opioid-related adverse event among Medicare beneficiaries with chronic non-cancer pain in the US. ....

United States , University Of Florida , International Classification Of Diseases , Centers For Medicare , Department Of Pharmaceutical Outcomes , Us Centers For Medicare , Us Department Of Health , College Of Pharmacy , Medicaid Services , Centers For Disease , Clinical Classifications Software , Human Services , National Drug Code , Research Data Assistant Center , University Of Florida Institutional Review Board , Health Maintenance Organization , Agency For Healthcare Research , Zirui Song , Massachusetts General Hospital , Creative Commons Attribution License , Healthcare Research , Disease Control , Opioid Prescribing , Chronic Pain , Medicare Parts , Florida Institutional Review Board ,