Impact of diabetic kidney disease on post-operative complications after primary elective total hip arthroplasty: a nationwide database analysis.

BACKGROUND: The high prevalence of diabetic kidney disease (DKD) in the United States necessitates further investigation into its impact on complications associated with total hip arthroplasty (THA). This study utilizes a large nationwide database to explore risk factors in DKD cases undergoing THA. METHODS: This research utilized a case-control design, leveraging data from the national inpatient sample for the years 2016 to 2019. Employing propensity score matching (PSM), patients diagnosed with DKD were paired on a 1:1 basis with individuals free of DKD, ensuring equivalent age, sex, race, Elixhauser Comorbidity Index (ECI), and insurance coverage. Subsequently, comparisons were drawn between these PSM-matched cohorts, examining their characteristics and the incidence of post-THA complications. Multivariate logistic regression analysis was then employed to evaluate the risk of early complications after surgery. RESULTS: DKD's prevalence in the THA cohort was 2.38%. A 7-year age gap separated DKD and non-DKD patients (74 vs. 67 years, P < 0.0001). Additionally, individuals aged above 75 exhibited a substantial 22.58% increase in DKD risk (49.16% vs. 26.58%, P < 0.0001). Notably, linear regression analysis yielded a significant association between DKD and postoperative acute kidney injury (AKI), with DKD patients demonstrating 2.274-fold greater odds of AKI in contrast with non-DKD individuals (95% CI: 2.091-2.473). CONCLUSIONS: This study demonstrates that DKD is a significant risk factor for AKI in patients undergoing total hip arthroplasty. Optimizing preoperative kidney function through appropriate interventions might decrease the risk of poor prognosis in this population. More prospective research is warranted to investigate the potential of targeted kidney function improvement strategies in reducing AKI rates after THA. The findings of this study hold promise for enhancing preoperative counseling by surgeons, enabling them to provide DKD patients undergoing THA with more precise information regarding the risks associated with their condition.

Adverse complications of cervical spinal fusion in patients with different types of diabetes mellitus: A retrospective nationwide inpatient sample database cross-sectional study.

BACKGROUND: Diabetes mellitus (DM) is a prevalent chronic condition that influences spine surgery outcomes. The impact of type Ⅰ and type Ⅱ DM on adverse postoperative outcomes, mortality, prolonged length of stay (LOS), and increased in-hospital costs following cervical fusion surgery remains unclear in the past decade. This study aims to determine the specific effect of different classifications of DM on postoperative complications in patients experiencing cervical fusion surgery. METHOD: Data from the Nationwide Inpatient Sample database was acquired between 2010 and 2019. Patients experiencing cervical fusion were included and classified as having type I DM, type II DM, or neither. Patient demographics, hospital characteristics, operative variables, comorbidities, complications, and other postoperative outcomes were assessed. Propensity score matching analysis was used to balance baseline differences. Univariate and multivariate logistic regression were employed to determine the risk of postoperative outcomes in patients with different classifications of DM. RESULT: A total of 267,174 cervical spinal fusions were identified (224,255 were patients without DM, 670 patients had type I DM, and 42,249 patients had type II DM). After propensity score matching, the multivariate analysis of non-DM and type I DM patients shows significant difference in pneumonia (P=0.020). However, type Ⅱ DM served as an independent predictor of an increased risk of acute cerebrovascular disease (P=0.001), acute myocardial infarction (P=0.014), pneumonia (P=0.045), continuous trauma ventilation (P=0.016), chest pain (P<0.001), urinary tract infection (P<0.001), transfusion (P=0.005) and dysphagia (P=0.013), prolonged LOS (P<0.001) and increased costs (P=0.008). CONCLUSION: Using non-DM patients as a reference, type II DM group demonstrated a higher risk of postoperative complications than type I DM group among patients receiving cervical fusion surgery. This vital distinction could enhance risk stratification and guidance for patients diagnosed with DM before cervical fusion surgery.

Incidence and Risk Factors of In-Hospital Prosthesis-Related Complications Following Total Knee Arthroplasty: A Retrospective Nationwide Inpatient Sample Database Study.

OBJECTIVE: To examine the incidence and risk factors of in-hospital prosthesis-related complications (PRCs) following total knee arthroplasty (TKA) using a large-scale national database. METHODS: A retrospective database analysis was performed based on Nationwide Inpatient Sample (NIS) from 2005-2014. Patients who underwent TKA were included. The recruited cases were divided into two groups according to the occurrence of PRCs. Patient demographics (age, sex, and race), hospital characteristics (type of admission and payer, and bedsize, teaching status, location, and region of hospital), length of stay (LOS), total charges during hospitalization, in-hospital mortality, comorbidities, and perioperative complications were analyzed. RESULTS: A total of 1,227,244 TKAs were captured from the NIS database. There were 8484 cases of in-hospital PRCs after TKA and the overall incidence was 0.69%, with a slight downward trend annually. Periprosthetic joint infection (PJI) was the main category among PRCs (0.20%), followed by mechanical loosening (0.04%), dislocation (0.02%), and periprosthetic fracture (PPF) (0.01%). Patients suffered from in-hospital PRCs were 3 years younger (64 years vs 67 years) and 6.51% more likely to be male (43.60% vs 37.09%) compared to the nonaffected population (P < 0.0001). Additionally, patients experiencing in-hospital PRCs after TKA were 2.11% less likely through elective admission (92.07% vs 94.18%) while 2.34% more likely in teaching hospital (45.53% vs 43.19%) than those without these complications (P < 0.0001). Furthermore, the occurrence of in-hospital PRCs was associated with longer LOS (4 days vs 3 days; P < 0.0001), more total charges ($53,418 vs $41,204, P < 0.0001), and higher in-hospital mortality (0.30% vs 0.07%; P < 0.0001). Multivariate logistic regression was performed to identify independent risk factors of in-hospital PRCs after TKA which included younger age, male, non-elective admission, teaching hospital, deficiency and chronic blood loss anemia, coagulopathy, congestive heart failure, depression, diabetes with chronic complications, fluid and electrolyte disorders, pulmonary circulation disorders, metastatic cancer, and weight loss. Besides, in-hospital PRCs after TKA were associated with secondary osteoarthritis, inflammatory arthritis, prior knee arthroscopy, acute renal failure, acute myocardial infarction, deep vein thrombosis, sepsis, transfusion, and wound dehiscence. CONCLUSION: It is beneficial to study the risk factors of in-hospital PRCs after TKA to ensure the appropriate management and optimize consequences although a relatively low incidence was identified.