The Who, What, and Where of Primary TKAs: An Analysis of HCUP Data from 2009 to 2015

Chukwuweike Gwam1, Samuel Rosas1, Rashad Sullivan1

  • 1Department of Orthopedic Surgery, Wake Forest University School of Medicine, Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.

The Journal of Knee Surgery
|February 16, 2019
PubMed

Insights

Total knee arthroplasty (TKA) utilization increased from 2009-2015, with osteoarthritis as the main reason. Minority representation and TKA procedures in the Midwest also rose, with shifts towards urban teaching hospitals.

Area of Science:

  • Orthopedic Surgery
  • Health Services Research
  • Epidemiology

Background:

  • Total knee arthroplasty (TKA) is a common procedure for end-stage knee osteoarthritis.
  • Understanding trends in TKA utilization and recipient demographics is crucial for healthcare planning.

Purpose of the Study:

  • To analyze temporal trends in primary TKA from 2009 to Q3 2015.
  • To examine patient demographics, indications, and geographic/hospital-type variations in TKA.
  • To identify changes in TKA recipient characteristics and utilization patterns over time.

Main Methods:

  • Utilized the National Inpatient Sample Database (NIS) to identify TKA cases.
  • Employed regression analysis for trend assessment.
  • Applied chi-square and Kruskal-Wallis tests for categorical and continuous variable analysis.

Main Results:

  • TKA utilization increased from 2009-2015, peaking in the fall; osteoarthritis was the primary indication (98%).
  • Increased minority representation observed, with Black recipients being younger, having lower comorbidity scores, and lower income.
  • The Midwest showed the largest increase in TKAs per 100,000 population; case volumes shifted to urban teaching hospitals.

Conclusions:

  • Significant temporal trends and demographic shifts in primary TKA recipients were identified.
  • Racial disparities in age, comorbidity, and income status among TKA recipients warrant further investigation.
  • Geographic and hospital-type trends indicate a growing concentration of TKA procedures in specific regions and facility types.

Related Concept Videos

Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
733
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
1.5K
Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
1.0K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.5K
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
326
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
44.2K