1.Outcomes of Isolated Femoral Head and Polyethylene Liner Exchange in Revision Total Hip Arthroplasty
Jonathan LIU ; Mohammad DAHER ; Noah GILREATH ; Jared SAIN ; Edward J. TESTA ; Nathaniel SMITH ; Matthew QUINN ; Stephen KAYIAROS ; Thomas J. BARRETT ; Valentin ANTOCI ; Eric M. COHEN
Hip & Pelvis 2026;38(2):155-161
Purpose:
In the existing literature, isolated femoral head and polyethylene liner exchange is commonly performed in revision total hip arthroplasty (THA) for a variety of indications with mixed outcomes. The purpose of this study is to investigate patient outcomes following head-liner exchange and risk factors associated with failure in THA.
Materials and Methods:
A retrospective chart review from May 2016 to November 2023 was conducted on patients who underwent isolated head-liner exchange at two institutions. Patients had minimum 1-year follow-up periods. For each patient, data such as indication for revision, surgical approach, revision head size, immediate and short-term complications, postoperative disposition, 90-day readmissions, and re-operations were recorded.
Results:
Out of 175 patients, there were 24 readmissions/emergency department visits within 90 postoperative days (13.7%), 21 subsequent revision surgeries (12.0%), 21 postoperative dislocations (12.0%), and 20 immediate postoperative complications (11.4%). A statistically significant association was demonstrated between indication for revision and postoperative instability (P=0.04). Patients operated upon for instability had higher rates of postoperative instability. Furthermore, patients with reported preoperative dislocation events had higher incidences of postoperative dislocations. Patients discharged to skilled nursing facilities (SNF) were associated with an increased number of hospital readmissions within 90 days of surgery, reoperation, and postoperative dislocation (P<0.05). No statistically significant associations were found between surgical approach and complications.
Conclusion
This study suggests that, in the context of isolated head-liner exchanges, factors such as preoperative dislocation history, indication for revision, and discharge to SNF are associated with poorer outcomes and complications.
2.Systematic and other reviews: criteria and complexities.
Robert T SATALOFF ; Matthew L BUSH ; Rakesh CHANDRA ; Douglas CHEPEHA ; Brian ROTENBERG ; Edward W FISHER ; David GOLDENBERG ; Ehab Y HANNA ; Joseph E KERSCHNER ; Dennis H KRAUS ; John H KROUSE ; Daqing LI ; Michael LINK ; Lawrence R LUSTIG ; Samuel H SELESNICK ; Raj SINDWANI ; Richard J SMITH ; James R TYSOME ; Peter C WEBER ; D Bradley WELLING ; Xinhao ZHANG ; Zheng LIU
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2021;56(7):687-690
3.Automated SNP genotype clustering algorithm to improve data completeness in high-throughput SNP genotyping datasets from custom arrays.
Edward M SMITH ; Jack LITTRELL ; Michael OLIVIER
Genomics, Proteomics & Bioinformatics 2007;5(3-4):256-259
High-throughput SNP genotyping platforms use automated genotype calling algorithms to assign genotypes. While these algorithms work efficiently for individual platforms, they are not compatible with other platforms, and have individual biases that result in missed genotype calls. Here we present data on the use of a second complementary SNP genotype clustering algorithm. The algorithm was originally designed for individual fluorescent SNP genotyping assays, and has been optimized to permit the clustering of large datasets generated from custom-designed Affymetrix SNP panels. In an analysis of data from a 3K array genotyped on 1,560 samples, the additional analysis increased the overall number of genotypes by over 45,000, significantly improving the completeness of the experimental data. This analysis suggests that the use of multiple genotype calling algorithms may be advisable in high-throughput SNP genotyping experiments. The software is written in Perl and is available from the corresponding author.
Algorithms
;
Cluster Analysis
;
Databases, Nucleic Acid
;
Genotype
;
Humans
;
Oligonucleotide Array Sequence Analysis
;
statistics & numerical data
;
Polymorphism, Single Nucleotide
;
Software
4.Automated SNP Genotype Clustering Algorithm to Improve Data Completeness in High-Throughput SNP Genotyping Datasets from Custom Arrays
Smith M. EDWARD ; Littrell JACK ; Olivier MICHAEL
Genomics, Proteomics & Bioinformatics 2007;2(3):256-259
High-throughput SNP genotyping platforms use automated genotype calling algo- rithms to assign genotypes. While these algorithms work efficiently for individual platforms, they are not compatible with other platforms, and have individual biases that result in missed genotype calls. Here we present data on the use of a second complementary SNP genotype clustering algorithm. The algorithm was originally designed for individual fluorescent SNP genotyping assays, and has been opti- mized to permit the clustering of large datasets generated from custom-designed Affymetrix SNP panels. In an analysis of data from a 3K array genotyped on 1,560 samples, the additional analysis increased the overall number of genotypes by over 45,000, significantly improving the completeness of the experimental data. This analysis suggests that the use of multiple genotype calling algorithms may be ad- visable in high-throughput SNP genotyping experiments. The software is written in Perl and is available from the corresponding author.

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