Patients with Type-1 Diabetes Are at Greater Risk of Periprosthetic Joint Infection: A Population-Based, Retrospective, Cohort Study

The Application of artificial intelligence in periprosthetic joint infection

Periprosthetic joint infection (PJI) represents one of the most devastating complications following total joint arthroplasty, often necessitating additional surgeries and antimicrobial therapy, and potentially leading to disability. This significantly increases the burden on both patients and the healthcare system. Given the considerable suffering caused by PJI, its prevention and treatment have long been focal points of concern. However, challenges remain in accurately assessing individual risk, preventing the infection, improving diagnostic methods, and enhancing treatment outcomes. The development and application of artificial intelligence (AI) technologies have introduced new, more efficient possibilities for the management of many diseases. In this article, we review the applications of AI in the prevention, diagnosis, and treatment of PJI, and explore how AI methodologies might achieve individualized risk prediction, improve diagnostic algorithms through biomarkers and pathology, and enhance the efficacy of antimicrobial and surgical treatments. We hope that through multimodal AI applications, intelligent management of PJI can be realized in the future.

Risk factors for infection in patients undergoing hip replacement: a systematic review and meta-analysis

A meta-analysis was conducted to determine the risk of infection following hip replacement and risk factors were identified for surgical site infection. PubMed/Medline, Embase and Cochrane Library databases were systematically searched, as well as the reference lists of previous systematic reviews and meta-analyses. The pooled odds ratio (OR) was estimated using a random effects model for each investigated factor. The evidence of observational studies was classified as high quality (class I), moderate quality (class II or III) or low quality (class IV) based on the GRADE system. A total of 25,383 potential articles met the inclusion criteria in the database search. After reviewing the titles, abstracts, and full texts, 27 articles were included in the final analysis, encompassing 699,473 patients who underwent hip arthroplasty. High-quality evidence shows that BMI (≥30 kg/m2) (OR 2.16; 95% CI 1.72-2.70), male sex (OR 1.39; 95% CI 1.26-1.53), operation time (≥120 min) (OR 1.72; 95% CI 1.39-2.14), American Society of Anesthesiologists (ASA) class ≥3 (OR 2.05; 95% CI 1.49-2.83), diabetes (OR 1.33; 95% CI 1.23-1.43), and heart disease (OR 1.99; 95% CI 1.48-2.68) are associated with a greater risk of infection. The meta-analysis revealed that age and renal disease were not associated with infection. In conclusion, this meta-analysis identified significant risk factors for infection after hip-replacement surgery, including BMI, male sex, operation time, heart disease, diabetes, and ASA class.

The Limited Utility of Hemoglobin A1c as a Predictor for Periprosthetic Joint Infection Following Total Joint Arthroplasty: A Continuous Variable Analysis

BACKGROUND

Patients who have poorly controlled diabetes mellitus are at increased risk of periprosthetic joint infection (PJI). Nevertheless, an optimal preoperative hemoglobin A1c (HbA1c) threshold has not been established. This study sought to identify preoperative HbA1c thresholds that were predictive of adverse outcomes for total hip arthroplasty (THA) and total knee arthroplasty (TKA) patients.

METHODS

A healthcare database was used to identify primary THAs or TKAs performed from 2016 to 2021 with a preoperative HbA1c value within 28 days of surgery. The primary outcome was PJI within 90 days postoperatively. Secondary outcomes included aggregate medical and surgical complications. Restricted cubic splines were generated using logistic regression to quantify the impact of HbA1c as a continuous variable on the risk of PJI. Between HbA1c values of 5 and 12%, relevant sensitivity and specificity measurements were calculated at intervals of 0.5%. A Youden's J statistic identified clinically relevant preoperative HbA1c thresholds.

RESULTS

In total, 17,481 elective arthroplasty patients who had a preoperative HbA1c were identified. The mean preoperative HbA1c was 6.5%. The previous two sentences should be placed at the end of the Methods section For TKA, a PJI threshold of 9.7% was identified (sensitivity: 19.4%, specificity: 99.1%), while for THA, a PJI threshold of 7.8% was identified (sensitivity: 22.7%, specificity: 89.9%). The threshold for aggregate medical complications was 6.8% for TKA (sensitivity: 53.7%, specificity: 59.1%) and 6.5% for THA (sensitivity: 45.5%, specificity: 66.5%). No association was observed between HbA1c and aggregate surgical complications for either THA or TKA.

CONCLUSIONS

This study identified PJI and medical complication HbA1c thresholds above which patients were at a significantly increased risk of early postoperative complications. While our findings suggest that HbA1c has limited predictive utility for postoperative complications, it remains an accessible biomarker that can aid in preoperative risk stratification. Future studies should explore other promising or complementary biomarkers that may be more effective for preoperative risk stratification.

LEVEL OF EVIDENCE

Level III.

Insulin dependence negatively impacts outcomes in anterior cervical discectomy with fusions: a 10-year retrospective analysis

BACKGROUND CONTEXT

Although anterior cervical discectomy and fusion (ACDF) procedures for cervical spine disease have been increasing amid a growing diabetic patient population, there is a paucity of literature focusing on insulin-dependence as a risk-factor for postoperative ACDF complications.

PURPOSE

To evaluate the differential impact of insulin dependence on perioperative outcomes including total length of stay, surgical, and medical complications within thirty days following ACDF.

STUDY DESIGN/SETTING

A retrospective cohort, large multicenter database study.

PATIENT SAMPLE

The American College of Surgeons National Surgical Quality Improvement Program database was queried to retrospectively identify patients who had undergone ACDF between 2011 and 2021 using the Current Procedural Terminology code 22551.

OUTCOME MEASURES

Perioperative surgical and medical complications.

METHODS

The study population was divided into 3 groups 1) insulin-dependent diabetes mellitus (IDDM), 2) noninsulin-dependent diabetes mellitus (NIDDM), and 3) no diabetes mellitus (non-DM). One-way analysis of variance for continuous variables and chi-square tests for categorical variables were used to identify differences in perioperative variables between the 3 groups. Multivariable logistic regression analysis assessed the effect of diabetes mellitus status on postoperative medical and surgical outcomes.

RESULTS

A total of 85,758 ACDF procedures were identified between 2011 and 2021, of which 5,178 were IDDM, 9,652 were NIDDM, and 70,982 were non-DM. The rates of surgical and medical complication varied between the 3 groups. IDDM patients had the highest rates of at least one medical complication (6.1%). Only IDDM increased the risk for medical complications (OR: 1.320, 95% CI [1.144-1.518]) and extended hospital length of stay (LOS) (OR: 1.244, 95% CI [1.071-1.441]) following a multivariate logistic regression analysis.

CONCLUSION

Patients with IDDM were at an increased risk for postoperative medical complications and extended hospital LOS. Personalized postoperative management, guided by risk assessment is indicated for this population. These findings can be used to improve risk stratification and informed consent for DM patients who are insulin dependent.

Periprosthetic joint infection and immunity: Current understanding of host-microbe interplay

Periprosthetic joint infection (PJI) is a major complication of total joint arthroplasty. Even with current treatments, failure rates are unacceptably high with a 5-year mortality rate of 26%. Majority of the literature in the field has focused on development of better biomarkers for diagnostics and treatment strategies including innovate antibiotic delivery systems, antibiofilm agents, and bacteriophages. Nevertheless, the role of the immune system, our first line of defense during PJI, is not well understood. Evidence of infection in PJI patients is found within circulation, synovial fluid, and tissue and include numerous cytokines, metabolites, antimicrobial peptides, and soluble receptors that are part of the PJI diagnosis workup. Macrophages, neutrophils, and myeloid-derived suppressor cells (MDSCs) are initially recruited into the joint by chemokines and cytokines produced by immune cells and bacteria and are activated by pathogen-associated molecular patterns. While these cells are efficient killers of planktonic bacteria by phagocytosis, opsonization, degranulation, and recruitment of adaptive immune cells, biofilm-associated bacteria are troublesome. Biofilm is not only a physical barrier for the immune system but also elicits effector functions. Additionally, bacteria have developed mechanisms to evade the immune system by inactivating effector molecules, promoting killing or anti-inflammatory effector cell phenotypes, and intracellular persistence and dissemination. Understanding these shortcomings and the mechanisms by which bacteria can subvert the immune system may open new approaches to better prepare our own immune system to combat PJI. Furthermore, preoperative immune system assessment and screening for dysregulation may aid in developing preventative interventions to decrease PJI incidence.

Decreased Risk of Periprosthetic Joint Infection with Concurrent Hardware Removal During Conversion Total Hip Arthroplasty Compared to Staged Removal: A Matched Cohort Analysis

INTRODUCTION

Hardware removal before conversion total hip arthroplasty (cTHA) is a challenging task for the orthopaedic surgeon, although there is little consensus on the timing of hardware removal to mitigate risk of surgery-related complication following cTHA.

METHODS

Using a national insurance database, we evaluated patients who underwent hardware removal either on the same day or within 1 year before cTHA, resulting in a total of 7,756 patients. After matching based on demographic factors and comorbidities, both staged and concurrent groups consisted of 2,752 patients. The 90-day and 1-year risk of revision surgery, periprosthetic joint infection (PJI), periprosthetic fracture, and aseptic loosening were calculated and compared. Demographic factors and comorbidities were further evaluated as risk factors for PJI.

RESULTS

The rates of infection were 1.85% and 3.05% at 90 days postoperatively and 2.94% and 4.14% at 1 year postoperatively for concurrent versus staged cohorts, respectively (P = 0.004 and P = 0.02). No difference was observed at 90 days or 1 year between the two cohorts in risk of fracture, revision surgery, or aseptic loosening. Diabetes (P = 0.002 and P < 0.001), tobacco use (P < 0.001 and P < 0.001), and obesity (P = 0.026 and P = 0.025) were identified as risk factors for PJI at both 90 days and 1 year postoperatively.

DISCUSSION

The timing of hardware removal is associated with an increased risk of PJI, although no difference was observed in revision surgery, fracture, or loosening among staged versus concurrent cohorts. These findings are important to consider when surgeons are evaluating patients with periarticular implants surrounding their hip.

Differences Between Patients With Diabetes Mellitus and Obese Patients in Occurrence of Peri-Prosthetic Joint Infection: A Systemic Review and Meta-Analysis

Background: To understand the differences between patients with diabetes mellitus and obese patients with respect to the occurrence of peri-prosthetic joint infection (PJI) after lower-extremity joint arthroplasty as well as to identify differences in PJI occurrence at different time periods. Patients and Methods: The Cochrane Library, CINAHL, MEDLINE, and PubMed were searched for literature published between January 2000 and July 2022. Our targets were studies involving patients with PJI who had already been diagnosed as having diabetes mellitus or being obese before receiving lower-extremity joint arthroplasty. Analysis was performed using Comprehensive Meta-Analysis Software (CMA) Version 3 (Biostat, Inc., Englewood, NJ, USA). Results: A total of 53,522 patients with diabetes mellitus and 360,018 obese patients were included. The forest plot for patients with and without diabetes mellitus indicated that patients with diabetes mellitus were more likely to contract PJIs than were patients without diabetes mellitus (odds ratio, 1.84; 95% confidence interval [CI], 1.56-2.16) and that no differences existed among early, delayed, and late PJI occurrence in patients with diabetes mellitus. The forest plot for obese and non-obese patients indicated that obese patients were more likely to contract PJIs than were non-obese patients (odds ratio, 1.86; 95% CI, 1.53-2.14) and that among obese patients, early PJI occurrence was higher than was late PJI occurrence. In addition, the mixed model indicated that obese patients were more likely to develop early PJIs than were patients with diabetes mellitus. Conclusions: Patients with diabetes mellitus and obese patients were more likely to develop PJIs than were patients without diabetes mellitus and non-obese patients, and that obese patients were more likely to develop early PJIs than late PJIs. Also, obese patients were more likely to develop early PJIs than patients with diabetes mellitus.

Antibiotic Prophylaxis is Often Unnecessary for Screening Colonoscopies Following Total Knee Arthroplasty

INTRODUCTION

Incidence of bacteremia following screening colonoscopy is low, but risk of hematogenous spread causing prosthetic joint infection (PJI) may exist in total knee arthroplasty (TKA) patients. In multivariate analyses, we examined PJI risk among three TKA cohorts: (1) colonoscopy recipients given antibiotic prophylaxis; (2) colonoscopy recipients not given antibiotic prophylaxis; and (3) no colonoscopy. We assessed: 90-day to one-year (A) PJI risk, and (B) risk factors for post-colonoscopy PJI.

METHODS

We queried a national, all-payer database for primary TKA recipients from 2010 to 2020. Patients who had colonoscopies and who did (n=2,558) or did not have antibiotic prophylaxis (n=20,000) were identified. These were compared those who did not undergo colonoscopy (n=20,000). The 20,000 patients were randomly selected to mitigate type 1 errors. Multivariate regressions compared PJI risk factors, such as alcohol abuse (AA), rheumatoid arthritis (RA), and diabetes.

RESULTS

Both colonoscopy cohorts had no increased PJI risk compared to non-colonoscopy (odds ratio (OR)<2.20, P≥0.064). Alcohol abuse, diabetes, and RA were found to be risk factors further enhancing likelihood of PJI for TKA patients not receiving antibiotics undergoing colonoscopies (OR>1.35, P≤0.044).

CONCLUSION

Overall, antibiotic prophylaxis does not decrease PJI risk following colonoscopy TKA recipients. After adjusting for known risk factors, both colonoscopy cohorts demonstrated similar PJI risks compared to the non-colonoscopy cohort. However, AA, diabetes, and RA were associated with further increased PJI risk for TKA patients undergoing colonoscopies compared to those who did not. Therefore, if undergoing colonoscopy after TKA, our findings suggest that most patients do not need to have antibiotics except for these high-risk patients.

Patients with insulin-dependent diabetes are at greater risk for perioperative adverse outcomes following total hip arthroplasty

BACKGROUND

The prevalence of diabetes mellitus (DM) continues to increase among patients undergoing total hip arthroplasty (THA). It is unclear how insulin use is correlated with risk for adverse outcomes.

METHODS

A cohort of 146,526 patients undergoing primary THA were identified in the 2005-2017 National Surgical Quality Improvement Program database. Patients were classified as insulin-dependent diabetic (IDDM), non-insulin-dependent diabetic (NIDDM), or not diabetic. Multivariate analyses were used.

RESULTS

Compared to patients without diabetes, patients with NIDDM were at increased risk for 4 of 17 perioperative adverse outcomes studied. Patients with IDDM were at increased risk for those 4 and 8 additional adverse outcomes (12 of the 17 studied).

CONCLUSION

These findings have important implications for preoperative risk stratification and quality improvement initiatives.

Preoperative and postoperative risk factors for periprosthetic joint infection in primary total hip arthroplasty: A 1-year experience

BACKGROUND

Periprosthetic joint infection (PJI) in primary total hip replacement (THR) is one of the most important threats in orthopedic surgery, so one important surgeon's target is to avoid or early diagnose a PJI. Although the incidence of PJI is very low (0.69%) in our department, with an average follow-up of 595 d, this infection poses a serious threat due to the difficulties of treatment and the lower functional outcomes after healing.

AIM

To study the incidence of PJI in all operations occurring in the year 2016 in our department to look for predictive signs of potential infection.

METHODS

We counted 583 THR for 578 patients and observed only 4 cases of infection (0.69%) with a mean follow-up of 596 d (min 30, max 1451). We reviewed all medical records to collect the data: duration and time of the surgery, presence, type and duration of the antibiotic therapy, preoperative diagnosis, blood values before and after surgery, transfusions, presence of preoperative drugs (in particularly anticoagulants and antiaggregant, corticosteroids and immunosuppressants), presence of some comorbidities (high body mass index, blood hypertension, chronic obstructive pulmonary disease, cardiac ischemia, diabetes, rheumatological conditions, previous local infections).

RESULTS

No preoperative, intraoperative, or postoperative analysis showed a higher incidence of PJI. We did not find any class with evident major odds of PJI. In our study, we did not find any border value to predict PJI and all patients had similar values in both groups (non-PJI and PJI). Only some categories, such as female patients, showed more frequency of PJI, but this difference related to sex was not statistically significant.

CONCLUSION

We did not find any category with a higher risk of PJI in THR, probably due to the lack of few cases of infection.

Preoperative Patient Optimization in Total Joint Arthroplasty-The Paradigm Shift from Preoperative Clearance: A Narrative Review

Background: Total joint arthroplasty (TJA) is one of the most common procedures performed in the United States. Outcomes of this elective procedure may be improved via preoperative optimization of modifiable risk factors. Purposes: We sought to summarize the literature on the clinical implications of preoperative risk factors in TJA and to develop recommendations regarding preoperative optimization of these risk factors. Methods: We searched PubMed in August 2019 with an update in September 2020 for English-language, peer-reviewed publications assessing the influence on outcomes in total hip and knee replacement of 7 preoperative risk factors-obesity, malnutrition, hypoalbuminemia, diabetes, anemia, smoking, and opioid use-and recommendations to mitigate them. Results: Sixty-nine studies were identified, including 3 randomized controlled trials, 8 prospective cohort studies, 42 retrospective studies, 6 systematic reviews, 3 narrative reviews, and 7 consensus guidelines. These studies described worse outcomes associated with these 7 risk factors, including increased rates of in-hospital complications, transfusions, periprosthetic joint infections, revisions, and deaths. Recommendations for strategies to screen and address these risk factors are provided. Conclusions: Risk factors can be optimized, with evidence suggesting the following thresholds prior to surgery: a body mass index <40 kg/m², serum albumin ≥3.5 g/dL, hemoglobin A1C ≤7.5%, hemoglobin >12.0 g/dL in women and >13.0 g/dL in men, and smoking cessation and ≥50% decrease in opioid use by 4 weeks prior to surgery. Surgery should be delayed until these risk factors are adequately optimized.

The risk factors of the postoperative poor wound healing in spinal tuberculosis patients: A single centre retrospective cohort study

The purpose of this study is to find out the risk factors of poor wound healing (PWH) in spinal tuberculosis (STB) patients. A total of 232 STB patients who underwent debridement surgery between January 2012 to June 2020 were included in this retrospective study. The study cohort was divided into two groups according to the presence or absence of PWH. The clinical characteristics of STB patients who developed PWH were evaluated, and risk factors were found using logistic regression analysis. Of the 232 patients, 30 developed PWH. Multivariate binary logistic regression analysis showed that pulmonary tuberculosis, long operation time and low postoperative albumin level were independent risk factors for PWH in STB patients. Receiver operating characteristic curve analysis showed that the optimal cutoff value of PWH in operation time and postoperative albumin are 200 minutes and 30 g/L, respectively. Pulmonary tuberculosis, long operation time and low postoperative albumin level are independent risk factors for PWH following surgery for STB. Curing pulmonary tuberculosis, controlling operation time and supervising postoperative serum albumin may decrease the risk of PWH among STB patients.

Does Early Debridement, Antibiotic Therapy and Implant Retention (DAIR) have a Role in Managing Periprosthetic Joint Infection of the Knee in Indian Scenario: A Retrospective Analysis of Outcomes

PURPOSE

To report outcomes of Debridement, Antibiotic therapy and Implant Retention (DAIR) for periprosthetic knee joint infections (PJI) in the Indian population and to study factors influencing outcomes.

METHODS

This was a Retrospective study of 80 cases of acute PJI after total knee arthroplasty who were treated by DAIR, within 2 weeks of onset of infection. A standardised institutional management protocol was applied to all cases. Patients were followed up for a minimum 1 year. Outcomes of DAIR were classified as successful or unsuccessful based on resolution or persistence of infection, and subsequent requirement of revision surgery. Influence of factors, like comorbidities, culture status and microbiological characteristics of causative organism, on outcomes was assessed.

RESULTS

Overall 55 patients (68.75%) had successful eradication of infection after DAIR. 27 (33.7%) patients were culture negative and 53 (66.2%) patients grew organisms on culture. There was no statistically significant difference in outcomes (p = 0.082) between culture-positive cases (69.8% success rate) and (66.7% success rate) in culture negative cases. Furthermore, no difference in outcomes was observed in culture-positive patients between those who grew Gram-positive organisms versus Gram-negative organisms (p = 0.398) Similarly, patient comorbidities did not significantly alter the outcomes after DAIR (p = 0.732).

CONCLUSION

Our study demonstrates that early DAIR within 2 weeks of onset of infection using a standard protocol during surgery and postoperatively can result in good outcomes. Patient comorbidities, culture status (positive versus negative), Gram staining characteristics of organisms and the identity of pathogenic bacteria did not influence outcomes of DAIR for acute PJI.

The Influence of Diabetes Mellitus on Patients Undergoing Primary Total Lower Extremity Arthroplasty: A Systematic Review and Meta-Analysis

Background

Diabetes mellitus (DM) is a common disease that has an adverse impact on most orthopedic surgeries, and its prevalence has gradually increased in recent years. We aim to investigate the influence of DM on comorbidities and complications of patients undergoing primary total lower extremity arthroplasty.

Methods

PubMed, Embase, Cochrane Library, Medline, and Web of Science were systematically searched for relevant studies published before December 2019. Demographic data, comorbidities, and postoperative complications after primary total hip arthroplasties (THA) or primary total knee arthroplasties (TKA) were assessed between DM and non-DM patients. Meta-analysis was conducted using Review Manager 5.3, and forest plots were drawn for each variable.

Results

A total of 1,560,461 patients (215,916 patients with DM and 1,344,545 patients without DM) from 23 studies were included in this meta-analysis. The incidences of several preoperative comorbidities (hypertension (HTN), kidney disease, cardiac and cerebrovascular disease) were generally higher in patients with DM. Moreover, DM patients had a higher rate of postoperative complications (superficial and deep infection, deep vein thrombosis (DVT), and in-hospital mortality) compared to non-DM patients.

Conclusions

DM patients were more likely to suffer from comorbidities and had a higher risk of complications in total lower extremity arthroplasty compared to non-DM patients. It is necessary to identify DM and control hyperglycemia in the perioperative period to prevent postoperative complications in patients with DM.

Cost-effectiveness of dental antibiotic prophylaxis in total knee arthroplasty recipients with type II diabetes mellitus

Objective

Type II diabetes mellitus (T2DM) is prevalent in knee osteoarthritis (OA) patients undergoing total knee arthroplasty (TKA) and increases risk for prosthetic joint infection (PJI). We examined the cost-effectiveness of antibiotic prophylaxis (AP) before dental procedures to reduce PJI in TKA recipients with T2DM.

Design

We used the Osteoarthritis Policy Model, a validated computer simulation of knee OA, to compare two strategies among TKA recipients with T2DM (mean age 68 years, mean BMI 35.4 kg/m2): 1) AP before dental procedures and 2) no AP. Outcomes included quality-adjusted life expectancy (QALE) and lifetime medical costs. We used published efficacy of AP. We report incremental cost-effectiveness ratios (ICERs) and considered strategies with ICERs below well-accepted willingness-to-pay (WTP) thresholds cost-effective. We conducted sensitivity analyses to examine the robustness of findings to uncertainty in model input parameters. We used a lifetime horizon and healthcare sector perspective.

Results

We found that AP added 1.0 quality-adjusted life-year (QALY) and $66,000 for every 1000 TKA recipients with T2DM, resulting in an ICER of $66,000/QALY. In sensitivity analyses, reduction of the probability of PJI, T2DM-associated risk of infection, or attribution of infections to dental procedures by 50% resulted in ICERs exceeding $100,000/QALY. Probabilistic sensitivity analyses showed that AP was cost-effective in 32% and 58% of scenarios at WTP of $50,000/QALY and $100,000/QALY, respectively.

Conclusions

AP prior to dental procedures is cost-effective for TKA recipients with T2DM. However, the cost-effectiveness of AP depends on the risk of PJI and efficacy of AP in this population.

Insulin-Dependent Diabetic Patients are at Increased Risk of Postoperative Hyperglycemia When Undergoing Total Joint Arthroplasty

BACKGROUND

Diabetic patients are at an increased risk of prosthetic joint infection (PJI) after total joint arthroplasty (TJA). The relationship between insulin-dependence and PJI has not been investigated. We aimed at evaluating whether insulin-dependent diabetes mellitus (IDDM) patients were more susceptible to postoperative hyperglycemia and PJI than their non-insulin-dependent diabetes mellitus (NIDDM) counterparts.

METHODS

A retrospective review was conducted of diabetic patients undergoing TJA (hip or knee) from January 2011 to December 2016. Preoperative hemoglobin A1c (A1c) and postoperative glucose measurements were observed. Patients were stratified as IDDM or NIDDM. The A1c values that predicted hyperglycemia >200 mg/dL for each group were calculated. Primary end point was postoperative hyperglycemia >200 mg/dL and secondary end point was PJI.

RESULTS

There were 773 patients meeting inclusion criteria. The IDDM cohort had a higher preoperative A1c (6.97% vs 6.28%, P < .0001) and postoperative glucose (235.2 vs 163.5, P < .0001). IDDM patients were more likely to have postoperative hyperglycemia (63.84% vs 20.83%, P < .0001; odds ratio, 5.2; 95% confidence interval, 3.66-7.4). Overall, an A1c of >7.45% predicted postoperative hyperglycemia >200 mg/mL (odds ratio, 6.94; 95% confidence interval, 4.32-11.45). When separating our 2 cohorts, an A1c of >6.59% in IDDM, and >6.60% in NIDDM, was associated with an increased risk of postoperative hyperglycemia (P < .0001). PJI was similar between the 2 cohorts (2.52% vs 2.38%, P = .9034).

CONCLUSION

IDDM patients undergoing TJA are 5.2 times more likely to have postoperative hyperglycemia >200 mg/dL than their NIDDM counterparts, although increased risk of PJI was not found in this study. Despite the higher A1c and postoperative hyperglycemia in IDDM patients, there was found to be no clinical difference between A1c cutoff values for postoperative hyperglycemia between IDDM and NIDDM patients.