Literature DB >> 24615426

Nationwide Inpatient Sample and National Surgical Quality Improvement Program give different results in hip fracture studies.

Daniel D Bohl1, Bryce A Basques, Nicholas S Golinvaux, Michael R Baumgaertner, Jonathan N Grauer.   

Abstract

BACKGROUND: National databases are being used with increasing frequency to conduct orthopaedic research. However, there are important differences in these databases, which could result in different answers to similar questions; this important potential limitation pertaining to database research in orthopaedic surgery has not been adequately explored. QUESTIONS/PURPOSES: The purpose of this study was to explore the interdatabase reliability of two commonly used national databases, the Nationwide Inpatient Sample (NIS) and the National Surgical Quality Improvement Program (NSQIP), in terms of (1) demographics; (2) comorbidities; and (3) adverse events. In addition, using the NSQIP database, we identified (4) adverse events that had a higher prevalence after rather than before discharge, which has important implications for interpretation of studies conducted in the NIS.
METHODS: A retrospective cohort study of patients undergoing operative stabilization of transcervical and intertrochanteric hip fractures during 2009 to 2011 was performed in the NIS and NSQIP. Totals of 122,712 and 5021 patients were included from the NIS and NSQIP, respectively. Age, sex, fracture type, and lengths of stay were compared. Comorbidities common to both databases were compared in terms of more or less than twofold difference between the two databases. Similar comparisons were made for adverse events. Finally, adverse events that had a greater postdischarge prevalence were identified from the NSQIP database. Tests for statistical difference were thought to be of little value given the large sample size and the resulting fact that statistical differences would have been identified even for small, clinically inconsequential differences resulting from the associated high power. Because it is of greater clinical importance to focus on the magnitude of differences, the databases were compared by absolute differences.
RESULTS: Demographics and hospital lengths of stay were not different between the two databases. In terms of comorbidities, the prevalences of nonmorbid obesity, coagulopathy, and anemia in found in the NSQIP were more than twice those in the NIS; the prevalence of peripheral vascular disease in the NIS was more than twice that in the NSQIP. Four other comorbidities had prevalences that were not different between the two databases. In terms of inpatient adverse events, the frequencies of acute kidney injury and urinary tract infection in the NIS were more than twice those in the NSQIP. Ten other inpatient adverse events had frequencies that were not different between the two databases. Because it does not collect data after patient discharge, it can be implied from the NSQIP data that the NIS does not capture more than ½ of the deaths and surgical site infections occurring during the first 30 postoperative days.
CONCLUSIONS: This study shows that two databases commonly used in orthopaedic research can identify similar populations of operative patients but may generate very different results for specific commonly studied comorbidities and adverse events. The NSQIP identified higher rates of morbid obesity, coagulopathy, and anemia. The NIS identified higher rates of peripheral vascular disease, acute kidney injury, and urinary tract infection. LEVEL OF EVIDENCE: Level II, prognostic study. See the Instructions for Authors for a complete description of levels of evidence.

Entities:  

Mesh:

Year:  2014        PMID: 24615426      PMCID: PMC4016448          DOI: 10.1007/s11999-014-3559-0

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  15 in total

1.  Impact factors of orthopaedic journals between 2000 and 2010: trends and comparisons with other surgical specialties.

Authors:  Robert Moverley; Kenneth S Rankin; Iain McNamara; Donald James Davidson; Mike Reed; Andrew P Sprowson
Journal:  Int Orthop       Date:  2013-01-19       Impact factor: 3.075

2.  Factors independently associated with complications and length of stay after hip arthroplasty: analysis of the National Surgical Quality Improvement Program.

Authors:  Natasha T O'Malley; Fergal J Fleming; Douglas D Gunzler; Susan P Messing; Stephen L Kates
Journal:  J Arthroplasty       Date:  2012-07-17       Impact factor: 4.757

3.  Perioperative morbidity and mortality following bilateral total hip arthroplasty.

Authors:  Mohammad R Rasouli; Mitchell G Maltenfort; David Ross; William J Hozack; Stavros G Memtsoudis; Javad Parvizi
Journal:  J Arthroplasty       Date:  2013-05-09       Impact factor: 4.757

4.  Impact of comorbidities on hospitalization costs following hip fracture.

Authors:  Lucas E Nikkel; Edward J Fox; Kevin P Black; Charles Davis; Lucille Andersen; Christopher S Hollenbeak
Journal:  J Bone Joint Surg Am       Date:  2012-01-04       Impact factor: 5.284

5.  Morbid obesity increases cost and complication rates in spinal arthrodesis.

Authors:  Paul A Kalanithi; Robert Arrigo; Maxwell Boakye
Journal:  Spine (Phila Pa 1976)       Date:  2012-05-15       Impact factor: 3.468

6.  National obesity trends in total knee arthroplasty.

Authors:  Susan M Odum; Bryan D Springer; Anne C Dennos; Thomas K Fehring
Journal:  J Arthroplasty       Date:  2013-08-15       Impact factor: 4.757

7.  The metabolic syndrome in patients undergoing knee and hip arthroplasty: trends and in-hospital outcomes in the United States.

Authors:  Alejandro Gonzalez Della Valle; Ya Lin Chiu; Yan Ma; Madhu Mazumdar; Stavros G Memtsoudis
Journal:  J Arthroplasty       Date:  2012-06-05       Impact factor: 4.757

8.  Preoperative anemia and perioperative outcomes in patients who undergo elective spine surgery.

Authors:  Andreea Seicean; Sinziana Seicean; Nima Alan; Nicholas K Schiltz; Benjamin P Rosenbaum; Paul K Jones; Michael W Kattan; Duncan Neuhauser; Robert J Weil
Journal:  Spine (Phila Pa 1976)       Date:  2013-07-01       Impact factor: 3.468

9.  The impact of glycemic control and diabetes mellitus on perioperative outcomes after total joint arthroplasty.

Authors:  Milford H Marchant; Nicholas A Viens; Chad Cook; Thomas Parker Vail; Michael P Bolognesi
Journal:  J Bone Joint Surg Am       Date:  2009-07       Impact factor: 5.284

10.  Risk factors for thirty-day morbidity and mortality following knee arthroscopy: a review of 12,271 patients from the national surgical quality improvement program database.

Authors:  Christopher T Martin; Andrew J Pugely; Yubo Gao; Brian R Wolf
Journal:  J Bone Joint Surg Am       Date:  2013-07-17       Impact factor: 5.284

View more
  41 in total

1.  CORR Insights(®): incidence of surgical site infection after spine surgery: what is the impact of the definition of infection?

Authors:  Jonathan N Grauer; Andre M Samuel
Journal:  Clin Orthop Relat Res       Date:  2014-10-15       Impact factor: 4.176

2.  Editorial: Increased manuscript submissions prompt journals to make hard choices.

Authors:  Seth S Leopold
Journal:  Clin Orthop Relat Res       Date:  2015-01-13       Impact factor: 4.176

3.  Editorial: large database studies--what they can do, what they cannot do, and which ones we will publish.

Authors:  Jonathan N Grauer; Seth S Leopold
Journal:  Clin Orthop Relat Res       Date:  2015-02-28       Impact factor: 4.176

4.  Comparing short-term AIS post-operative complications between ACS-NSQIP and a surgeon study group.

Authors:  Jennifer M Bauer; Suken A Shah; Paul D Sponseller; Amer F Samdani; Peter O Newton; Michelle C Marks; Baron S Lonner; Burt Yaszay
Journal:  Spine Deform       Date:  2020-07-27

5.  What Is the Timing of General Health Adverse Events That Occur After Total Joint Arthroplasty?

Authors:  Daniel D Bohl; Nathaniel T Ondeck; Bryce A Basques; Brett R Levine; Jonathan N Grauer
Journal:  Clin Orthop Relat Res       Date:  2017-12       Impact factor: 4.176

Review 6.  Surgical research using national databases.

Authors:  Ram K Alluri; Hyuma Leland; Nathanael Heckmann
Journal:  Ann Transl Med       Date:  2016-10

7.  Hypothyroidism Increases 90-Day Complications and Costs Following Primary Total Knee Arthroplasty.

Authors:  Leonard T Buller; Samuel Rosas; Karim G Sabeh; Martin W Roche; Alexander S McLawhorn; Wael K Barsoum
Journal:  J Arthroplasty       Date:  2017-11-06       Impact factor: 4.757

8.  What are the Risk Factors for Cerebrovascular Accidents After Elective Orthopaedic Surgery?

Authors:  Shobhit V Minhas; Preeya Goyal; Alpesh A Patel
Journal:  Clin Orthop Relat Res       Date:  2015-08-20       Impact factor: 4.176

9.  Variation in Coding Practices for Vestibular Schwannoma Surgery.

Authors:  Wenya Linda Bi; Michael A Mooney; Seungwon Yoon; Saksham Gupta; Michael T Lawton; Kaith K Almefty; C Eduardo Corrales; Ian F Dunn
Journal:  J Neurol Surg B Skull Base       Date:  2018-07-16

10.  The National Hospital Discharge Survey and Nationwide Inpatient Sample: the databases used affect results in THA research.

Authors:  Stijn Bekkers; Arjan G J Bot; Dennis Makarawung; Valentin Neuhaus; David Ring
Journal:  Clin Orthop Relat Res       Date:  2014-08-05       Impact factor: 4.176

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.