The Healthcare Cost and Utilization Project (HCUP) Nationwide Readmissions Database (NRD) is a unique and powerful database designed to support various types of analyses of national readmission rates for all payers and the uninsured. The NRD includes discharges for patients with and without repeat hospital visits in a year and those who have died in the hospital. Repeat stays may or may not be related. The criteria to determine the relationship between hospital admissions is left to the analyst using the NRD. This database addresses a large gap in health care data - the lack of nationally representative information on hospital readmissions for all ages. Outcomes of interest include national readmission rates, reasons for returning to the hospital for care, and the hospital costs for discharges with and without readmissions. Unweighted, the NRD contains data from approximately 18 million discharges each year. Weighted, it estimates roughly 35 million discharges. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels. The NRD is drawn from HCUP State Inpatient Databases (SID) containing verified patient linkage numbers that can be used to track a person across hospitals within a State, while adhering to strict privacy guidelines. The NRD is not designed to support regional, State-, or hospital-specific readmission analyses. The NRD contains more than 100 clinical and non-clinical data elements provided in a hospital discharge abstract. Data elements include but are not limited to: diagnoses, procedures, patient demographics (e.g., sex, age), expected source of payer, regardless of expected payer, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge, discharge month, quarter, and year, total charges, length of stay, and data elements essential to readmission analyses. The NIS excludes data elements that could directly or indirectly identify individuals. Restricted access data files are available with a data use agreement and brief online security training.

The Nationwide Readmissions Database (NRD) is database under the Healthcare Cost and Utilization Project (HCUP) which contains nationally representative information on hospital readmissions for all ages, including all payers and the uninsured. The NRD contains data from approximately 18 million discharges per year (35 million weighted discharges) across most of the United States.

Data elements include:

• Discharge month, quarter, and year
• Verified patient linkage number
• Timing between admissions for a patient
• Length of inpatient stay (days)
• Transfers, same-day stays, and combined transfer records
• Identification of patient residency in the state in which he or she received hospital care
• International Classification of Diseases (ICD-9-CM) diagnosis, procedure, and external cause of injury codes (prior to October 1, 2015)
• ICD-10-CM/PCS diagnosis, procedures, and external cause of morbidity codes (beginning October 1, 2015)
• Patient demographics (e.g., sex, age, income quartile, rural/urban residency)
• Expected payment source (e.g., Medicare, Medicaid, private insurance, self-pay, those billed as 'no charge', and other insurance types)
• Total charges and hospital cost (calculated using the "Cost-to-Charge Ratio" file)

The NRD consists of four data files:

• Core File: Available for all years of the NRD and contains commonly used data elements (e.g., age, expected primary payer, discharge status, ICD-10-CM/PCS codes, total charges)
• Severity File: Available for all years of the NRD and contains additional data elements related to identifying health conditions at discharge.
• Diagnosis and Procedure Groups File: Contains additional information on ICD-10-CM/PCS; available beginning in 2018.
• Hospital File: Available for all years of the NRD and contains additional information on participating hospital characteristics.

The Nationwide Readmissions Database (NRD) is a unique and powerful database designed to support various types of analyses of national readmission rates for all payers and the uninsured. The NRD includes discharges for patients with and without repeat hospital visits in a year and those who have died in the hospital. Repeat stays may or may not be related. The criteria to determine the relationship between hospital admissions is left to the analyst using the NRD. This database addresses a large gap in health care data - the lack of nationally representative information on hospital readmissions for all ages.

This dataset tracks the updates made on the dataset "Healthcare Cost and Utilization Project Nationwide Readmissions Database (NRD)" as a repository for previous versions of the data and metadata.

Abstract

"NRD includes discharges for patients with and without repeat hospital visits in a year and those who have died in the hospital. Repeat stays may or may not be related." https://www.hcup-us.ahrq.gov/db/nation/nrd/nrddbdocumentation.jsp

The National Receptor Dataset (NRD) is a collection of risk receptors, typically residential and commercial property, intended for use in flood and coastal erosion risk management. It is a spatial dataset produced from Ordnance Survey (OS) AddressBase® Premium (ABP) and OS MasterMap® (MM) data with information on property type, floor area and Flood Hazard Research Centre’s Multi-Coloured Manual (MCM) codes attributed.

The versions of the NRD described here for the NRD 2023 & 2025 created as part of the Flood Risk Assessment Wales Data Management (FRAW DM) process. These datasets of NRD builds on the same methodology as NRD 2018, with a refresh of input datasets.

NRD 2023 & 2025 comprises of two layers, they have been created from the OS AddressBase Premium dataset and from OSMM, which is created from OS MasterMap. Both datasets should be viewed together, to give a complete view of the NRD datasets.

List of improvements from NRD 2018 to NRD 2023 & 2025 include: 1. Main input datasets have been updated, including; OS ABP, OS MM, NRW Flood Alert and Warning Areas, NRW Flood Warning Uptake, Defended Areas. 2. Over 52,000 Static Caravans are now included in the OS MM datasets, therefore these have now been included in the NRD 2023 & 2025 from OSMM Layer. 3. The building footprint threshold within the NRD 2023 & 2025 from OSMM layer has been increased from 30m² to 60m². This is to remove unwanted features like garages being classified as “Residential” dwelling. 4. Ordnance Survey have significantly improved their classification of properties across Wales. For example, end of terrace houses in some location were called “semi-detached” previously, these have now been correctly assigned as “end of terrace” in NRD 2023 & 2025.

A recent study found that approximately 1 in every 6 patients hospitalized for the 1st episode of syncope had an underlying pulmonary embolism (PE). As current guidelines do not strongly emphasize evaluation for PE in the workup of syncope, we hypothesize that there might be a higher rate of 30-day readmission due to untreated venous thromboembolism (VTE). The objective of this study is to measure the 30-day readmission rate due to VTE and identify predictors of 30-day readmission with VTE among syncope patients. We identified patients admitted with syncope with ICD9 diagnoses code 780.2 in the Nationwide Readmission Database (NRD-2013), Healthcare Cost and Utilization Project (HCUP). The 30-day readmission rate was calculated using methods described by HCUP. Logistic-regression was used to identify predictors of 30-day readmission with VTE. Discharge weights provided by HCUP were used to generate national estimates. In 2013, NRD included 207,339 eligible patients admitted with syncope. The prevalence rates of PE and DVT were 1.1% and 1.4%, respectively. At least one syncope associated condition was present in 60.9% of the patients. Among the patients who were not diagnosed with VTE during index admission for syncope (N = 188,015), 30-day readmission rate with VTE was 0.5% (0.2% with PE and 0.4% with DVT). In conclusion, low prevalence of VTE in patients with syncope and extremely low 30-day readmission rate with VTE argues against missed diagnoses of VTE in index admission for syncope. These results warrant further studies to determine clinical impact of work up for PE in syncope patients without risk factors.

PLEASE NOTE: This record has been retired. It has been superseded by: https://environment.data.gov.uk/dataset/dcbad548-ba75-4f32-bf22-306f9059343e These documents are designed to provide a simple, easy to refer to analysis of the numbers of people, property and extent of land within areas at risk of flooding taken from the risk of flooding from rivers and sea (RoFRS) products. We use them in Environment Agency publications and reports; and to answer queries.

We use the Risk of Flooding from Rivers and Sea products and the National Receptor Dataset (NRD) 2023* to provide a breakdown of numbers and areas of land at risk of flooding within England, English Local Authorities, English MP Constituencies, Lead Local Flood Authorities and Environment Agency Partnership and Strategic Overview areas.

There are 5 spreadsheets available which provide the following summary information: • Number of properties in areas at risk from flooding from rivers and sea • Number of people in areas at risk from flooding from rivers and sea • Number of deprived properties in areas at risk of flooding from rivers and sea • Change in number of properties in areas at risk of flooding from rivers and sea (since previous update) • Change in area of land at risk of flooding from rivers and sea (since previous update)

Further explanations about the information presented in the spreadsheets such as flood likelihood category, property types and how numbers are calculated are presented in the first tab of each spreadsheet.

*NRD2023 was developed by the Environment Agency, however it is based on Ordnance Survey data (OS Address Base Premium) and we do not have permission to release as Open Data.

BackgroundMedical management is recommended for uncomplicated type B aortic dissection (TBAD). However, data focused on sex differences in outcomes in TBAD patients managed medically are limited.MethodsHospitalizations of adults with TBAD were identified using the 2016–2019 Nationwide Readmissions Database. TBAD diagnosis was deduced by inclusion of thoracic or thoracoabdominal aorta dissection and exclusion of presumed type A aortic dissection. Hospitalizations associated with intervention were excluded. Multivariable logistic regression modeling was used to investigate the association of sex with in-hospital mortality. A Cox proportional hazards model was used to assess the association between sex and readmission rates.ResultsThere were 52,269 TBAD hospitalizations (58% male). Compared to men, women were older (72 vs. 65 years), had higher in-hospital mortality (11.5% vs. 8.5%), shorter median length of stay (3.95 vs. 4.23 days), and lower rates of elective admissions (6.4% vs. 8.2%) (all p 

Nord, Greenland, Ground-based Vector Magnetic Field Level 2 Data, 20.0 s Time Resolution, Station Code: (NRD), Station Location: (GEO Latitude 81.6, Longitude 343.3), DTU Network

The National Receptor Dataset (NRD) is a collection of risk receptors, typically residential and commercial property, primarily intended for use in flood and coastal erosion risk management. NRD is a spatial dataset which contains a number of GIS layers categorised into themes of information including; buildings, environment, heritage, transport and utilities. The NRD includes property points that are Copy Derived from OSMM AddressLayer2 with information on property type, floor area and Flood Hazard Research Centres Multi-Coloured Manual codes attributed. It was designed to meet the needs of Preliminary Flood Risk Assessments and the Environment Agency's National Flood Risk Assessment although it can be used for other purposes.

The impact of ventricular arrhythmia in patients with sarcoidosis has not been well studied. Our objective was to determine the association of ventricular arrhythmia with clinically relevant outcomes in sarcoidosis patients. We included adult patients with sarcoidosis from a nationally representative database, the Nationwide Readmission Database, admitted between 1 January 2011 and 31 December 2018. We assessed whether ventricular tachycardia and fibrillation (VTVF) increases mortality risk, the need for automatic implantable cardioverter-defibrillator (AICD), or permanent pacemaker during hospitalization in sarcoidosis patients. Logistic and Cox regressions were performed. Out of 570,807 sarcoidosis patients 15,459 (2.71%) developed VTVF. In a multivariable-adjusted logistic regression, ventricular arrhythmias were significantly associated with mortality (aOR 2.98; 95% CI 2.66–3.34, p 

IntroductionCardiac sarcoidosis (CS) is an increasingly recognized cause of cardiac disease. Because the clinical presentation of CS is non-specific, the diagnosis is often delayed. Early detection is essential to initiate treatments that reduce the risk of heart failure (HF) and arrhythmic death. We therefore aimed to describe the features of CS hospitalizations during which the initial diagnosis of CS is made.MethodsWe performed a retrospective analysis of hospitalizations from 2016 to 2019 in the Nationwide Readmission Database (NRD). Hospitalizations with a primary diagnosis suggestive of CS (HF/cardiomyopathy, cardiac arrest, arrhythmias, or heart block) were categorized into cases with and without CS as a secondary diagnosis (CS+ and CS−, respectively). One-to-one propensity score matching (PSM) was performed.ResultsThe CS+ cohort comprised 1,146 hospitalizations and the CS− cohort 3,250,696 hospitalizations. The CS+ cohort included patients who were younger and more often male. PSM resulted in highly matched cohorts (absolute standardized mean difference

The table 2015 is part of the dataset NRD, available at https://redivis.com/datasets/n05k-c29gwg3hx. It contains 17198125 rows across 323 variables.

The Fataility Analysis Reporting System (FARS) dataset is as of July 1, 2017, and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics's (BTS's) National Transportation Atlas Database (NTAD). One of the primary objectives of the National Highway Traffic Safety Administration (NHTSA) is to reduce the staggering human toll and property damage that motor vehicle traffic crashes impose on our society. FARS is a census of fatal motor vehicle crashes with a set of data files documenting all qualifying fatalities that occurred within the 50 States, the District of Columbia, and Puerto Rico since 1975. To qualify as a FARS case, the crash had to involve a motor vehicle traveling on a trafficway customarily open to the public, and must have resulted in the death of a motorist or a non-motorist within 30 days of the crash. This data file contains information about crash characteristics and environmental conditions at the time of the crash. There is one record per crash. Please note: 207 records in this database were geocoded to latitude and logtitude of 0,0 due to lack of location information or errors in the reported locations. FARS data are made available to the public in Statistical Analysis System (SAS) data files as well as Database Files (DBF). Over the years changes have been made to the type of data collected and the way the data are presented in the SAS data files. Some data elements have been dropped and new ones added, coding of individual data elements has changed, and new SAS data files have been created. Coding changes and the years for which individual data items are available are shown in the “Data Element Definitions and Codes” section of this document. The FARS Coding and Editing Manual contains a detailed description of each SAS data elements including coding instructions and attribute definitions. The Coding Manual is published for each year of data collection. Years 2001 to current are available at: http://www-nrd.nhtsa.dot.gov/Cats/listpublications.aspx?Id=J&ShowBy=DocType Note: In this manual the word vehicle means in-transport motor vehicle unless otherwise noted.

Adjusted odds of 30-day readmission by age category and payer groupa.

Baseline characteristics among readmitted and non-readmitted patients by age categorya.

Door_mission

## Overview

Door_mission is a dataset for object detection tasks - it contains Door G8At annotations for 591 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The table SEVERITY is part of the dataset NRD, available at https://redivis.com/datasets/9gtv-bazp3prk0. It contains 122876340 rows across 62 variables.

The dataset is a graphical representation of the Lower Platte South NRD Election Subdistrict Boundaries. The dataset is updated as needed as new U.S. Census data is available. The original subdistrict data was acquired from Lincoln-Lancaster County Planning Department April 2008. The dataset was projected from NAD_1983_Transverse_Mercator to NAD_1983_StatePlane_Nebraska_FIPS_2600_Feet. The dataset was updated October 2011 to reflect changes to subdistrict boundaries for the 2012 Elections.