Development and validation of a nomogram for predicting the risk of immediate postoperative deep vein thrombosis after open wedge high tibial osteotomy

Clinical outcome after open-wedge high tibial osteotomy: comparison of double-triangle locking compression plate (DT-LCP) and T-shaped locking compression plate (T-LCP)

BACKGROUND

The objective of this study was to compare the clinical outcomes of two internal fixation methods for high tibial osteotomy (HTO): double-triangle locking compression plate (DT-LCP) and T-shaped locking compression plate (T-LCP).

METHODS

202 adult patients in our hospital between January 2018 and December 2021 were included and followed up for at least one year: group 1(DT-LCP, 98 patients) and group 2 (T-LCP, 104 patients). Detailed information on demographics, preoperative and postoperative follow-up, surgical procedures, and complications were collected. The information of the International Knee Documentation Committee Knee Evaluation Form (IKDC), Knee Injury and Osteoarthritis Outcome Score (KOOS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) were collected before surgery and at the last follow-up.

RESULTS

A total of 202 patients were included in the per-protocol analysis. No significant difference was found in terms of demographic data between groups, except for age and BMI. Clinically relevant improvements in knee pain were reached up to last follow-up after the operation in both groups. The mean pain scores (KOOS, WOMAC) at the final follow-up were significantly higher among group 1 compared to group 2 (P = 0.040 and P = 0.023). Furthermore, the DT-LCP internal fixation exerted more excellent effects on other symptoms, function and quality of life than T-LCP internal fixation.

CONCLUSIONS

Our study demonstrated that DT-LCP provided better clinical performance due to its implant irritant pain, compared with T-LCP. Thus, DT-LCP is a feasible alternative for the fixation of OW-HTO.

Low-density lipoprotein cholesterol-to-lymphocyte count ratio (LLR) is a promising novel predictor of postoperative new-onset deep vein thrombosis following open wedge high tibial osteotomy: a propensity score-matched analysis

BACKGROUND

The association of low-density lipoprotein cholesterol (LDL-C) and lymphocyte counts with the development of deep vein thrombosis (DVT) has been demonstrated in many fields but remains lacking in open wedge high tibial osteotomy (OWHTO). This study aimed to assess the predictive value of LDL-C to lymphocyte count ratio (LLR) in screening for postoperative new-onset DVT.

METHODS

Clinical data were retrospectively collected from patients who underwent OWHTO between June 2018 and May 2023. The limited restricted cubic spline (RCS) was conducted to evaluate the nonlinear relationship between LLR and the risk of postoperative new-onset DVT. The receiver operating characteristic (ROC) curves were plotted and the predictive value of biomarkers was assessed. After adjusting for intergroup confounders by propensity score matching, the univariate logistic regression was applied to assess the association between LLR and DVT.

RESULTS

1293 eligible patients were included. RCS analysis showed a linear positive correlation between LLR and the risk of DVT (P for overall = 0.008). We identified LLR had an area under the curve of 0.607, accuracy of 74.3%, sensitivity of 38.5%, and specificity of 80.7%, and LLR > 1.75 was independently associated with a 1.45-fold risk of DVT (95% CI: 1.01-2.08, P = 0.045). Furthermore, significant heterogeneities were observed in the subgroups of age, BMI, diabetes mellitus, hypertension, Kellgren-Lawrence grade, the American Society of Anesthesiologists (ASA) score, and intraoperative osteotomy correction size.

CONCLUSION

LLR is a valuable biomarker for predicting postoperative new-onset DVT in patients with OWHTO, and routine screening is expected to yield positive benefits.

Establishment and validation of a nomogram predicting the risk of deep vein thrombosis before total knee arthroplasty

PURPOSE

This study aimed to analyze the independent risk factors contributing to preoperative DVT in TKA and constructed a predictive nomogram to accurately evaluate its occurrence based on these factors.

METHODS

The study encompassed 496 patients who underwent total knee arthroplasty at our hospital between June 2022 and June 2023. The dataset was randomly divided into a training set (n = 348) and a validation set (n = 148) in a 7:3 ratio. The least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression analysis were used to screen the predictors of preoperative DVT occurrence in TKA and construct a nomogram. The performance of the predictive models was evaluated using the concordance index (C-index), calibration curves, and the receiver operating characteristic (ROC) curves. Decision curve analysis was used to analyze the clinical applicability of nomogram.

RESULTS

A total of 496 patients who underwent TKA were included in this study, of which 28 patients were examined for lower extremity DVT preoperatively. Platelet crit, Platelet distribution width, Procalcitonin, prothrombin time, and D-dimer were predictors of preoperative occurrence of lower extremity DVT in the nomograms of the TKA patients. In addition, the areas under the curve of the ROC of the training and validation sets were 0.935 (95%CI: 0.880-0.990) and 0.854 (95%CI: 0.697-1.000), and the C-indices of the two sets were 0.919 (95%CI: 0.860-0.978) and 0.900 (95%CI: 0.791-1.009). The nomogram demonstrated precise risk prediction of preoperative DVT occurrence in TKA as confirmed by the calibration curve and decision curve analysis.

CONCLUSIONS

This Nomogram demonstrates great differentiation, calibration and clinical validity. By assessing individual risk, clinicians can promptly detect the onset of DVT, facilitating additional life monitoring and necessary medical interventions to prevent the progression of DVT effectively.

Association of inflammation and abnormal lipid metabolism with risk of thrombosis and thrombosis progression in patients with polycythemia vera: a retrospective study

To date, no therapeutic strategy has been shown to be effective in reducing the risk of polycythemia vera (PV) transforming into myelofibrosis or leukemia, and the main goal of current treatment is to prevent thrombotic events. Recent studies have shown that higher levels of inflammation are associated with an increased risk of thrombosis in PV patients, while the correlation between inflammation and abnormal lipid metabolism with the risk of thrombosis in PV has not been reported. In this retrospective study, 148 patients with newly diagnosed PV who visited the Affiliated Hospitals of Nanchang University from January 2013 to June 2023 were categorized into low-risk group and high-risk group according to the risk of thrombosis, and were subsequently divided into thrombosis non-progression group and progression group. The differences of novel inflammatory markers PHR, NHR, MHR, LHR, and SIRI in each group were analyzed and compared with healthy adults who underwent physical examination in the hospitals during the same period. The results showed that PHR, NHR, MHR, and SIRI levels were significantly higher in the PV group than in the control group (P < 0.001), while HDL-C levels were considerably lower (1.09 vs. 1.31, P < 0.001). Comparisons within the groups of PV patients revealed that PHR, MHR, NHR, NLR, and SIRI levels were significantly higher in the high-risk group for thrombosis than in the low-risk group (P < 0.01); the thrombosis PHR, NHR, NLR, and SIRI levels were higher in the group with progression of thrombosis than in the group without progression of thrombosis (P < 0.05), while HDL-C levels were significantly lower (1.02 vs. 1.12, P < 0.001). The results of the ROC curve analysis showed that NHR (AUC = 0.791), HDL-C (AUC = 0.691), PHR (AUC = 0.668), NLR(AUC = 0.658), and SIRI (AUC = 0.638) had high diagnostic efficacy for identifying PV patients with thrombosis progression. Multivariate analysis showed that NHR, NLR, MHR, and LHR were independent risk factors for PV patients with thrombosis progression (P < 0.05). Kaplan-Meier survival curves showed that NHR ≥ 5.82 × 109/mmol, NLR ≥ 6.295, PHR ≥ 280.4 × 109/mmol, MHR ≥ 0.295 × 109/mmol, LHR ≥ 1.41 × 109/mmol, and SIRI ≥ 1.53 × 109/L were risk factors for PFS in PV patients. The study demonstrates for the first time that novel inflammatory markers PHR, NHR, MHR, LHR, and SIRI may be used as new predictors for PV patients with thrombosis progression. NHR has the highest value in predicting thrombosis in PV patients and is superior to NLR which was reported previously.