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. 2013 Feb;471(2):574-83.
doi: 10.1007/s11999-012-2605-z. Epub 2012 Nov 21.

Estimating risk in Medicare patients with THA: an electronic risk calculator for periprosthetic joint infection and mortality

Affiliations

Estimating risk in Medicare patients with THA: an electronic risk calculator for periprosthetic joint infection and mortality

Kevin J Bozic et al. Clin Orthop Relat Res. 2013 Feb.

Abstract

Background: Although risk factors for periprosthetic joint infection (PJI) and mortality after total hip arthroplasty (THA) have been identified, interactions between specific patient risk factors are poorly understood. Therefore, it is difficult for surgeons to counsel patients on their individual risk of PJI or mortality after THA.

Questions/purposes: We evaluated the interaction between patient clinical and demographic factors on the risk of PJI and mortality after THA and developed an electronic risk calculator for estimating the patient-specific risk of PJI and mortality in Medicare patients with THA.

Methods: We used the Medicare 5% sample claims database to calculate the risk of PJI within 2 years and mortality within 90 days after THA in 53,252 Medicare patients with primary THAs between 1998 and 2009. Logistic regression using 29 comorbid conditions, age, sex, race, and socioeconomic status were used as inputs to develop an electronic risk calculator to estimate patient-specific risk of PJI and mortality after THA.

Results: The overall 2-year risk of PJI and 90-day risk of mortality after primary THA were 2.07% and 1.30%, respectively. White women aged 70 to 74 years with alcohol abuse, depression, electrolyte disorder, peptic ulcer disease, urinary tract infection, rheumatologic disease, preoperative anemia, cardiopulmonary (cardiac arrhythmia, congestive heart failure, ischemic heart disease, chronic pulmonary disease) comorbidities, and peripheral vascular disease were at highest risk for PJI. White women aged 65 to 69 years with electrolyte disorder, hemiplegia/paraplegia, hypertension, hypothyroidism, metastatic tumor, preoperative anemia, coagulopathy, cardiopulmonary (congestive heart failure, chronic pulmonary disease) and psychiatric (psychoses, depression) comorbidities, malignancies, and peripheral vascular disease were at highest risk for mortality. An electronic risk calculator was developed to estimate the risk of PJI and mortality in Medicare patients with THA.

Conclusions: This electronic risk calculator can be used to counsel Medicare patients regarding their patient-specific risks of PJI and mortality after THA.

Level of evidence: Level II, prognostic study. See the Instructions for Authors for a complete description of levels of evidence.

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Figures

Fig. 1
Fig. 1
A screenshot shows the first screen of the app for entering patient demographic information (age, sex, race, and Medicaid as a secondary payer).
Fig. 2
Fig. 2
Screenshots show the second screen of the app for selecting specific patient comorbid conditions.
Fig. 3A–B
Fig. 3A–B
The third screen of the app shows the calculated probability of PJI within 2 years and mortality within 90 days for the entered patient data and comorbidities. The examples include scenarios where (A) all comorbid conditions and (B) only a subset of conditions were found. The corresponding rate for patients of the same demographic with no comorbidities and the average rate for the overall Medicare THA population are included for comparative purposes. PJI = periprosthetic joint infection.
Fig. 3A–B
Fig. 3A–B
The third screen of the app shows the calculated probability of PJI within 2 years and mortality within 90 days for the entered patient data and comorbidities. The examples include scenarios where (A) all comorbid conditions and (B) only a subset of conditions were found. The corresponding rate for patients of the same demographic with no comorbidities and the average rate for the overall Medicare THA population are included for comparative purposes. PJI = periprosthetic joint infection.
Fig. 4
Fig. 4
A screenshot shows the combination of demographic characteristics and comorbidities associated with the highest rate of PJI within 2 years postoperatively. White women aged 70 to 74 years with alcohol abuse, depression, electrolyte disorder, peptic ulcer disease, urinary tract infection, rheumatologic disease, preoperative anemia, cardiopulmonary (cardiac arrhythmia, congestive heart failure, ischemic heart disease, chronic pulmonary disease) comorbidities, and peripheral vascular disease were at highest risk for PJI (27.18% [95% CI, 14.66%–44.78%]). PJI = periprosthetic joint infection.
Fig. 5
Fig. 5
A screenshot shows the combination of demographic characteristics and comorbidities associated with the highest rate of 90-day postoperative mortality. White women aged 65 to 69 years with electrolyte disorder, hemiplegia/paraplegia, hypertension, hypothyroidism, metastatic tumor, preoperative anemia, coagulopathy, cardiopulmonary (congestive heart failure, chronic pulmonary disease) and psychiatric (psychoses, depression) comorbidities, malignancies, and peripheral vascular disease were at highest risk for mortality (73.14% [95% CI, 46.86%–89.37%]).
Fig. 6
Fig. 6
A screenshot shows the rate of PJI (1.08% [95% CI, 0.84–1.38%]) and mortality (0.10% [95% CI, 0.06–0.15%]) for a low-risk patient having THA, a white male age 65 to 69 years with hypertension and hypercholesterolemia. PJI = periprosthetic joint infection.

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References

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