Haematology panel biomarkers for humeral, femoral, and tibial diaphyseal fractures

The admission inflammatory biomarkers profile of elderly hip fractures and its association with one-year walking independence and mortality: a prospective study

PURPOSE

Immune response plays an important role in the regulation of elderly hip fracture. This study aims to analyze the relationship between systemic inflammatory markers including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) and mortality and walking independence, providing valuable references for the postoperative management of geriatric hip fracture.

METHODS

A retrospective analysis of prospective data on elderly patients who have undergone hip surgery and have been followed for at least one year. The receiver operating characteristic (ROC) curves and the optimum cutoff value were calculated. Univariate analysis and multivariate logistic regression analysis were used to identify the associations between admission four systemic inflammatory markers and one-year mortality and locomotion recovery.

RESULTS

During the study period, respiratory disease was the most common cause of death, followed by cardiovascular disease. Multivariate analysis identified NLR (OR, 1.13; 95%CI: 1.09-1.17), SIRI(OR, 1.18; 95%CI: 1.08-1.28) and advanced age (OR, 1.06; 95%CI: 1.01-1.11) as independent risk factors for one-year mortality. In addition, 89 (rate, 31.8%) survivors had poor walking independence within one year. NLR (OR, 1.37; 95%CI: 1.26-1.50), SII(OR, 1.00; 95%CI: 1.001-1.003), SIRI(OR, 1.36; 95%CI: 1.18-1.57) and advanced age (OR, 1.08; 95%CI: 1.02-1.13) were associated with postoperative locomotion recovery.

CONCLUSIONS

In summary, admission NLR and SIRI are correlated with a high risk of one-year walking independence and mortality, providing a basis for the clinical management of geriatric hip fractures.

Aggregate Index of Systemic Inflammation: The Strongest Predictor of In-Hospital Venous Thromboembolism Events among Patients Hospitalized for Trauma or Surgery

BACKGROUND

To investigate the power of inflammation/immune indices in-hospital deep vein thrombosis (DVT) and any venous thromboembolism (VTE) event (VTE: DVT + pulmonary embolism [PE]) that may occur after trauma or surgery and to identify the strongest predictors.

METHODS

This was a retrospective study conducted between January 2020 and December 2022. A total of 216 patients with suspicion of DVT or PE during their hospital stay for trauma or surgery were included in the study. Monocyte-lymphocyte ratio, neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, systemic inflammatory index, systemic inflammation response index, and aggregate index of systemic inflammation (AISI) were calculated. Participants were divided into the following 3 groups: those without DVT or PE (control group, n = 70), only DVT (DVT group, n = 71), and both DVT and PE (VTE group, n = 75).

RESULTS

The median D-dimer, neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, monocyte-lymphocyte ratio, systemic inflammatory index, systemic inflammation response index, and AISI values of VTE group were significantly higher than both the control and DVT groups (P < 0.001 for all). The DVT group also had significantly higher values for these parameters compared to controls (P < 0.001 for all). All of these indices had significantly high performance to detect DVT or PE (P < 0.001 for all). Despite very high performance (some exceeding D-dimer measurement) detected for all examined parameters, AISI was the best predictor in both DVT and VTE (DVT + PE) prediction (area under receiver operating characteristic curve = 0.995 and 0.959, respectively).

CONCLUSIONS

These indices, especially AISI, can play a role in the initial screening and risk stratification of patients at high risk of DVT or VTE after surgery or trauma.

Neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) to predict postoperative pneumonia in elderly hip fracture patients

PURPOSE

Investigate the association between the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) about the presence of postoperative pneumonia (POP) in geriatric patients with hip fractures. Compare the predictive value of these biomarkers for POP and assess their potential for early detection of POP.

METHODS

We retrospectively included elderly patients with hip fractures who underwent surgical treatment at our institution. POP was diagnosed according to the guidelines provided by the American Thoracic Society. We collected neutrophil, lymphocyte, and platelet counts upon admission to calculate the NLR, PLR, and SII. Receiver operating characteristic curves were utilized to establish the optimal cutoff values for each index. Multivariate logistic regression analysis and propensity score matching analysis were utilized to assess the independent association between each index and POP after adjusting for demographic, comorbidity, and surgery-related variables.

RESULTS

The study included a total of 1199 patients, among whom 111 cases (9.26%) developed POP. NLR exhibited the highest predictive value for POP in elderly patients with hip fractures compared to PLR and SII (AUC = 0.648, 95% CI 0.594-0.701). A high NLR, using the optimal cutoff value of 5.84, was significantly associated with an increased incidence of POP (OR = 2.24, 95% CI 1.43-3.51). This finding remained statistically significant even after propensity score matching (OR = 2.04, 95% CI 1.31-3.20).

CONCLUSIONS

Among the three inflammatory/immune markers considered, the NLR demonstrates the highest reliability as a predictor for POP in elderly patients with hip fractures. Therefore, it serves as a valuable tool for early identification.

Is Neutrophil Lymphocyte Ratio, Platelet Lymphocyte Ratio or Red Blood Cell Distribution Width Associated with Risk of Mortality in Patients with Necrotizing Fasciitis

Purpose

Neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and red blood cell distribution width (RDW) are novel biomarkers to indicate the inflammatory/immune response, and demonstrated to be effective in diagnosis, severity evaluation, and prognosis in a variety of chronic or acute conditions. This study aims to examine whether NLR, PLR and EDW are independently associated with mortality in necrotizing fasciitis (NF).

Methods

This study retrospectively enrolled patients diagnosed with NF and based on vitality status during hospitalization or within 30 days after discharge, survival and non-survival groups were defined. For distinctly comparing NLR, PLR, RDW and others, we enrolled the matched healthy controls of the same age and sex as the survivors of NF in a 1:1 ratio, which constituted the healthy control group. Comparisons were made between three groups. Variables tested with a P value < 0.10 were further entered into the multivariate logistic regression model to identify their independent association with mortality.

Results

A total of 281 subjects were included, including 127 healthy controls, 127 survivors, and 27 nonsurvivors with NF, respectively, indicating a mortality rate of 17.5%. ROC analysis showed that the optimal cutoff value for NLR, PLR and RDW was 11.1, 196.0 and 15.5%, respectively, and was tested as significant only for the first two (P < 0.001, = 0.004). Multivariate logistic analysis showed that NLR ≥ 11.1 (OR, 2.51) and PLR ≥ 196.0 (OR, 2.09) were independently associated with an increased risk of mortality in NF patients, together with age ((OR, 1.28, for each 10-year increment), comorbid diabetes mellitus (OR, 2.69) and liver disease (OR, 1.86), and elevated creatinine level (OR, 1.21 for each 10 umol/L elevation).

Conclusion

Elevated NLR and PLR are significant and independent predictors of mortality and can be considered for use when evaluating patients at risk of mortality.

Proximal Femur Fractures in the Elderly-A Novel Modality to Predict Mortality: The Neutrophil-to-Lymphocyte Ratio

Background: The assessment and identification of elderly patients with proximal femur fractures (PFF) who are at high risk of postoperative mortality may influence the treatment decision-making process. The purpose of this study was to determine whether the neutrophil-to-lymphocyte ratio (NLR) could be used to predict postoperative mortality in the elderly population. Methods: A four-year retrospective cohort study of electronic medical records was conducted at a single tertiary care hospital between 2015 and 2018. Data from 1551 patients aged 65 years and older who underwent surgical treatment for PFF were collected and analyzed. The data included complete blood counts at admission, demographic information, underlying illnesses, type of surgery, and postoperative mortality and complications during the first year of follow-up. A survival analysis model was utilized. Results: The mean age was 90.76 ± 1.88 years, 1066 (68.7%) women. Forty-four (2.8%) patients experienced postoperative infection. A higher NLR0 was independently associated with higher all-cause mortality rates in patients who underwent surgical treatment for PFF (p = 0.041). Moreover, the mean NLR0 value was higher when the death occurred earlier after surgery (p < 0.001). Conclusions: When combined with other clinical and laboratory findings, NLR0 levels may serve as a potentially valuable, inexpensive, and reliable prognostic biomarker to improve risk stratification for elderly patients who are candidates for PFF surgery. Furthermore, with additional research, we could potentially develop a treatment algorithm to identify patients at high risk of postoperative mortality.

Relationship between the neutrophil-to-lymphocyte ratio or platelet-to-lymphocyte ratio and deep venous thrombosis (DVT) following femoral neck fractures in the elderly

Purpose

This study aimed to investigate whether the neutrophil-to-lymphocyte ratio (NLR) or platelet-to-lymphocyte ratio (PLR) was associated with deep venous thrombosis (DVT) following femoral neck fractures in the elderly.

Method

This was a retrospective cohort study and used data extracted from the hospitalization electronic medical record and the laboratory biomarker reports. Patients were included if they were aged above 60 years with a definite diagnosis of femoral neck fracture caused by low-energy trauma. Duplex ultrasound scanning was routinely performed to detect the potential DVT. Two independent multivariate logistic regression models were constructed to identify the association of NLR or PLR with the risk of DVT.

Results

A total of 708 patients with femoral neck fractures were included, and 112 were found to have DVT, indicating an incidence rate of 15.8%. There were significant differences across five subgroups for NLR or PLR, in terms of age (p = 0.020, 0.006), white blood cell (p < 0.001, =0.006), hemoglobin (p < 0.001, <0.001), and albumin (p < 0.001, <0.001). BMI was tested to be significantly different across subgroups for NLR (p = 0.030) and prevalence of cerebrovascular disease for PLR (p = 0.014). The multivariate analyses demonstrated that not NLR but PLR in Q3 (range, 179–238) was associated with an increased risk of DVT, and the risk for the latter was 1.86 (95%CI, 1.07–3.36).

Conclusion

We concluded that a PLR value of 179–238 was associated with a 1.86-fold increased risk of DVT after femoral neck fracture. This study paves the way toward further exploration of inflammatory/immune biomarkers with the risk of DVT in the elderly with trauma.

Diagnostic Value of the Blood Neutrophil-to-Lymphocyte Ratio and Monocyte-to-Lymphocyte Ratio in Tibia Fracture-Related Infection

Objective. The diagnostic value of neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) in predicting fracture-related infection (FRI) in tibia fracture patients remains to be explored. Methods. A retrospective controlled study was carried out with 170 tibia FRI patients and 162 control subjects. The following information was evaluated at admission: age, gender, clinical features, number of white blood cells (WBCs), neutrophils, lymphocytes, monocytes, red blood cells (RBCs), platelets, level of hemoglobin, C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR), as well as NLR, MLR, and PLR. Results. The number of lymphocytes, RBCs, and platelets in the FRI group was higher than those in the control group, while the number of neutrophils and ESR level was lower ( $P<0.05$ ). The level of NLR and MLR was significantly lower in patients with tibia FRI than in control subjects ( $P<0.05$ ). Both indicators were positively correlated with WBCs, CRP level, and ESR level ( $P<0.001$ ). The results of logistic regression analysis showed that five variables including NLR, MLR, platelets, fracture pattern (closed or open fracture), and site pattern (single or multiple site) were used to construct the FRI risk predictor. The ROC curve analysis result showed that FRI risk predictor yielded the highest AUC, with a sensitivity of 91.2% and a specificity of 90.1%, and made the distinction efficiently between tibia FRI patients and non-FRI patients. Conclusion. NLR and MLR were decreased in tibia FRI patients compared to non-FRI patients. Both indicators had a positive correlation with WBCs, CRP level, and ESR level. FRI risk predictor constructed based on five variables including NLR and MLR had a high diagnostic value for tibia FRI.

Analysis of high-risk factors for preoperative DVT in elderly patients with simple hip fractures and construction of a nomogram prediction model

BACKGROUND

Hip fractures are anatomically classified in relation to femoral neck, intertrochanteric or subtrochanteric fractures. Simple hip fractures discussed in this study are femoral neck fractures or intertrochanteric fractures, which are the most common types of hip fractures. Controversy remains regarding the value of biochemical indices of thrombosis in elderly patients with fractures. A retrospective study was conducted to investigate the index admission data in blood draws of elderly patients with hip fractures and their high-risk factors for deep venous thrombosis (DVT). A nomogram prediction model for DVT was established to facilitate a rapid, accurate, and effective prediction based on the results.

METHODS

The data were based on 562 elderly patients undergoing hip fracture surgery, from whom 274 patients were selected for enrollment. The 274 patients were divided into two groups using preoperative vascular color Doppler ultrasonography. Chi-square tests, t-tests, and U tests were conducted, and logistic regression analysis was conducted showing different factors between the two groups. Independent risk factors with statistical significance (P < 0.05) were obtained, and the logistic regression equation and the new variable prediction probability_1 (PRE_1) were constructed. The receiver operating characteristic (ROC) curve of risk factors and PRE_1 was drawn to obtain the area under the curve (AUC) and truncation value of each risk factor. Finally, a nomogram prediction model was constructed using the R programming language to calculate the concordance index (C-index).

RESULTS

Time from injury to hospitalization, platelet (PLT) count, D-dimer level, fibrinogen (FIB) level, and systemic immune-inflammatory index (SII) score were independent risk factors for preoperative DVT in elderly patients with hip fractures. The logistic regression equation and PRE_1 were constructed by combining the above factors. ROC analysis showed that the area under the curve for PRE_1 (AUC = 0.808) was greater than that of the other factors. The sensitivity of PRE_1 (sensitivity = 0.756) was also higher than that of the other factors, and the specificity of PRE_1 (specificity = 0.756) was higher than that of two other factors. Moreover, a predictive nomogram was established, and the results showed a high consistency between the actual probability and the predicted probability (C-index = 0.808), indicating a high predictive value in fractures accompanied by DVT.

CONCLUSIONS

This study confirmed that SII score could be used as a risk factor in the prediction of DVT occurrence. A nomogram prediction model was constructed by combining 5 independent risk factors: time from injury to admission, PLT count, D-dimer level, FIB level, and SII score, which had high predictive values for fractures accompanied by DVT. This model use is limited to simple hip fracture.

Impact of COVID-19 prevention measures on Clostridioides difficile infections in a regional acute care hospital

Clostridioides difficile (C. difficile) is a common cause of nosocomial diarrhea. The multi-modal infection control strategies designed to contain the COVID-19 pandemic have had an unintended positive effect on other hospital-acquired infections. The aim of the present study was to analyze the impact of the COVID-19 prevention measures on healthcare-associated C. difficile infections in a large regional acute care center. Electronic databases were reviewed from the start of the pandemic (March) up to November 2020. Average values from the same months from 2019 and 2018 were used as controls. Using the ICD-10 discharge coding, 65 C. difficile cases per 25,124 patients were identified in 2020 compared to 151/43,126 from the 2018 and 2019 averages (P=0.0484). The C. difficile cases were found to be decreased after the implementation of COVID-19 infection control strategies compared to previous years, despite an increase in antibiotic use. Subset analysis during lockdown showed a clear decrease but the difference was not statistically significant. For the months of recovery after lockdown, the number of cases was comparable to previous years.

Are postoperative NLR and PLR associated with the magnitude of surgery-related trauma in young and middle-aged patients with bicondylar tibial plateau fractures? A retrospective study

Background

The invasiveness of different surgical procedures is variable. The purpose of this study was to investigate the value of the postoperative neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) as biomarkers in assessing the magnitude of surgery-related trauma in young and middle-aged patients with bicondylar tibial plateau fractures (TPFs).

Methods

A total of 136 young and middle-aged patients with bicondylar TPFs who underwent surgical treatment between May 2016 and April 2020 were included. Details about demographic information, pre- and postoperative laboratory data, and surgical variables were obtained from the electronic database of our level I trauma center. According to the different surgery programs, all patients were divided into two groups: group 1, which represented minimally invasive reduction and internal fixation (MIRIF), and group 2, which represented open reduction and internal fixation (ORIF). Univariate and multivariate logistic regression and ROC curve analyses were used.

Results

The operative time, intraoperative tourniquet use, intraoperative blood loss, length of incision, postoperative NLR, PLR, RBC and HCRP were significantly different between the two groups (P < 0.05). In the multivariate analysis, postoperative PLR ≥ 223.9, surgical incision > 19.0 cm and operative time > 130 min were closely related to severe surgery-related trauma. The ROC curve analysis indicated that postoperative PLR could predict severe surgery-related trauma with a specificity of 76.0 % and a sensitivity of 55.7 %.

Conclusions

Postoperative PLR appears to be a useful biomarker that is closely associated with magnitude of surgery-related trauma in young and middle-aged patients with bicondylar TPFs.

Large giant cell tumor of the posterior iliac bone - an atypical location. A case report and literature review

Giant cell tumor (GCT) is a locally aggressive tumor but with benignity features, representing approximately 18% of non-malignant bone tumors in European countries, with slight female predominance. Malignancy in GCT is rare, about <2% of cases and is more common at older ages. Is known that usually occurs at the epiphyses of long bones, but extremely rare may have another location, such as the pelvic bone. An atypical location – the posterior iliac bone, found at a 34-year-old male –, is the case report we studied and described. Starting from the patient’s complains, like a mass in the left buttock region described as “recently appeared”, firm, not-mobile, with no distinctive borders and no tenderness at palpation, and a recent history trauma, multiple investigations have been performed, which have highlighted an osteolytic lesion, close to the sacroiliac joint, only with infiltration of the gluteal, iliac and paravertebral muscles. The treatment of choice was hemi-pelvectomy, with wide tumoral resection, and selective embolization of the nutrient vessels 24 hours prior to the surgical procedure. At two years postoperative, we found a good functional result and the computed tomography (CT) scan revealed no signs of recurrence.

Early experience using patient-specific instrumentation in opening wedge high tibial osteotomy

PURPOSE

Patient-specific instruments (PSI) have been designed to improve the accuracy of performing opening-wedge high-tibial osteotomies (OW-HTO). This study aims to evaluate the lower limb alignment, by comparing pre-operative desired correction to post-operative achieved correction, the difference in surgical time and number of radiological exposures in OW-HTO using patient-specific instruments (PSI) versus conventional osteotomies and the specific and non-specific complications that occurred.

METHODS

We performed a single-centre, retrospective, observational study, including 25 consecutive patients undergoing OW-HTO using PSI, from January 2019 to October 2020.

RESULTS

Pre-operatively, the mean hip-knee angle (HKA) was 167°, the mean tibial slope was 7.9° and the mean medial proximal tibial angle (MPTA) was 82.5°. Post-operatively, the mean HKA was 182.2° (180.1-184.7°), the tibial slope was 6.5° (4.2-12.9°) and the MPTA was 92.8° (90.6-93°). In both coronal and sagittal plane, all knees were within 2° from the planned value. The mean tourniquet time, by which the surgical time was measured, was 40 minutes and the average number of intra-operative fluoroscopic images was 10 (range: 7-14), significantly less than when using conventional techniques.

CONCLUSIONS

The use of PSI in OW-HTO allows accurate achievement of the desired correction, while shortening the OR time. The number of radiological exposures is also decreased, in comparison with the conventional osteotomies.

Neutrophil to lymphocyte ratio and fracture severity in young and middle-aged patients with tibial plateau fractures

PURPOSE

The neutrophil-to-lymphocyte ratio (NLR) has recently been found to be closely associated with the severity of trauma. This study aimed to analyze the correlation between the imaging severity of isolated tibial plateau fractures (TPFs) and the NLR in the blood.

METHODS

A total of 223 patients with isolated TPFs were enrolled in this retrospective study over five years. The data at hospital admission were extracted from an electronic database. Schatzker classification was performed according to the imaging data by two experienced orthopaedic surgeons. All patients were divided into two groups: group 1 included patients with mild-to-moderate fractures (Schatzker types I-IV), and group 2 included patients with severe fractures (Schatzker types V-VI). The NLR levels at hospital admission were statistically compared between the two groups.

RESULTS

The blood NLR, hemoglobin level, red blood cell count, neutrophil count, platelet count, time from injury to admission, total protein, and Na+ levels were significantly different among the two groups. According to the receiver operating characteristic (ROC) curve, the cutoff for the NLR was 5.8. ROC curve analysis showed that the sensitivity of an NLR ≥ 5.8 to predict severe TPFs was 53.4%, and the specificity was 70.7%. In the multivariate analysis, NLR ≥ 5.8 and haemoglobin < lower limit appeared to be independent predictors of severe TPFs.

CONCLUSIONS

Our study is the first to demonstrate that the NLR level appears to be a useful biomarker for predicting the severity of isolated TPFs in young and middle-aged adults.

Neutrophil-to-lymphocyte ratio predicts the severity of motor impairment in cerebral palsy children living at home and the rehabilitation center: A comparative study

The aim of the present study was to investigate the neutrophil-to-lymphocyte ratio (NLR) level in children with cerebral palsy (CP) living at home or the rehabilitation center. The correlation of NLR with different severities of motor impairment was assessed. This was a single-center, cross-sectional, observational study. A total of 80 CP children who were either living at home (n=34) or at the rehabilitation center (n=46) were included. Demographic characteristics, anthropometric parameters and complete blood counts were recorded, and the NLR values were calculated. The severity of motor impairment was evaluated and categorized according to the Gross Motor Functional Classification System (GMFCS) level. The mean age of CP participants was 8.52±1.92 years. The percentage of children with CP who were malnourished (underweight, stunted and wasted) was higher amongst those at the rehabilitation center compared with those living at home. The mean NLR of children with CP in the rehabilitation center was significantly higher compared with the patients living at home (P=0.003). Participants from the rehabilitation center had severe motor impairment (GMFCS levels IV-V) and significantly higher NLR values than those with mild motor impairments (GMFCS levels II-III; P=0.006). However, there were no differences in NLR values in relation to severity of motor impairment in CP children living at home. CP children had some degree of neuroinflammation and systemic inflammation. NLR may be a potential simple inflammatory parameter that may be used to predict the severity of the motor impairment, particularly in CP children living at a rehabilitation center.

Incidence of deep venous thrombosis (DVT) of the lower extremity in patients undergoing surgeries for ankle fractures

Objective

To investigate the incidence of postoperative deep venous thrombosis (DVP) in patients undergoing surgeries for ankle fractures and identify the associated risk factors.

Methods

This was a retrospective study. A total of 1451 patients undergoing surgery of ankle fractures from January 2016 to June 2019 were included. The inpatient medical record system was inquired for data collection, including demographics, comorbidities, injury, and surgery-related data, and laboratory biomarkers. DVT of the lower extremity was diagnosed by routine Doppler examination. Univariate analyses and multivariate logistic regression analyses were used to identify the independent risk factors.

Results

Among the 1451 patients, DVT was confirmed in 38 cases, indicating an incidence of 2.6%. DVT involved both the operated and non-operated limbs in 8 patients (21.1%). DVT involved superficial femoral vein in 4 cases (6.6%), deep femoral vein in 2 (3.3%), popliteal vein in 5 (8.2%), posterior tibial vein in 11 (18.0%), and peroneal vein in 39 (63.9%). The median interval between operation and diagnosis of DVT was 7 days. Six risk factors were identified to be independently associated with DVT, including age (10-year increase) (OR, 1.44), preoperative stay (delay of each day) (OR, 1.11), anesthesia (general vs regional) (OR, 3.51), lower hemoglobin level (OR, 2.02), total cholesterol > 5.2 mmol/L (OR, 3.20), and reduced lymphocyte count (OR, 3.16).

Conclusion

These identified factors, although not easily modifiable, do help counsel patients about the risk of DVT and help individualized assessment of the risk factors and accordingly the risk stratification.

Relationship between the inflammation/immune indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures

Objective

To determine the relationship between inflammation/immune-based indexes and deep venous thrombosis (DVT) incidence rate following tibial plateau fractures

Methods

Retrospective analysis of a prospectively collected data on patients undergoing surgeries of tibial plateau fractures between October 2014 and December 2018 was performed. Duplex ultrasonography (DUS) was routinely used to screen for preoperative DVT of bilateral lower extremities. Data on biomarkers (neutrophil, lymphocyte, monocyte, and platelet counts) at admission were collected, based on which neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte/lymphocyte (MLR), and systemic immune-inflammation index (SII, neutrophil* platelet/lymphocyte) were calculated. Receiver operating characteristic (ROC) was used to determine the optimal cutoff value for each variable. Multivariate logistic regression analysis was used to evaluate the independent relationship of each biomarker or index with DVT, after adjustment for demographics, co-morbidities, and injury-related variables.

Results

Among 1179 patients included, 16.3% (192/1179) of them had a preoperative DVT. Four factors were identified to be significantly associated with DVT, including open fracture, increased D-dimer level. Among the biomarkers and indexes, only platelet and neutrophil were identified to be independently associated with DVT, and the significance remained after exclusion of open fracture. The other independent variables were elevated D-dimer level (> 0.55 mg/L), male gender, and hypertension in the sensitivity analysis with open fractures excluded.

Conclusion

These identified factors are conducive to the initial screening for patients at risk of DVT, individualized risk assessment, risk stratification, and accordingly, development of targeted prevention programs.

Multiple preoperative biomarkers are associated with incidence of surgical site infection following surgeries of ankle fractures

The aim of the study was to investigate the epidemiologic characteristics of surgical site infection (SSI) following surgeries of ankle fractures. This was a retrospective study. Patients who underwent surgeries for ankle fractures in our hospital between January 2016 and June 2019 were included. Inpatient medical records were inquired for data collection, including demographics, comorbidities, injury-related data, laboratory biomarkers, and confirmation of the SSI cases. Univariate analyses and multivariate logistic regression analyses were used to identify the independent risk factors. Among the 1532 patients, 45 had a postoperative SSI, indicating the incidence rate of 2.9%. About 18% of SSIs were identified after discharge. Twenty percent of SSIs were caused by mixed bacteria, and 39% were caused by drug-resistant bacteria. In the final multivariate model, 7 factors including 5 biomarkers were identified to be independently associated with SSI: gender (male vs female, OR, 2.69; 95% CI, 1.33-4.76), perioperative blood transfusion (OR. 3.02; 95% CI, 1.30-7.04), albumin <35 g/L (OR, 2.87; 95% CI, 1.31-6.31), lower high-density lipoprotein cholesterol (HDL-C) (OR, 2.34; 95% CI, 1.19-4.60), haemoglobin (OR, 2.16; 95% CI, 1.03-4.67), elevated alanine aminotransferase (OR, 2.09; 95% CI, 1.10-3.95) and neutrophile/lymphocyte rate (NLR, OR, 3.45; 95% CI, 1.33-6.74). These epidemiologic data on SSI may help counsel patients about the risk of SSI, individualised assessment of the risk factors, and accordingly the risk stratification.

Prognostic value of laboratory values in older patients with cervical spine fractures

OBJECTIVES

To understand the prognostic value of laboratory markers at presentation on post-treatment survival of patients 50 and older following cervical spine fracture.

PATIENTS AND METHODS

We obtained clinical data on patients 50 and older treated for cervical spine fracture in a single healthcare system (2006-2016). Our primary outcome consisted of 1-year mortality, with mortality within 3-months of presentation considered secondarily. Our primary predictors included serum glucose, serum creatinine, platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR) at presentation. We used multivariable logistic regression to adjust for confounding from sociodemographic and clinical characteristics. Point estimates and 95 % confidence intervals (CI) from the final model were refined using Bayesian regression techniques.

RESULTS

We included 1781 patients in this analysis, with an average age of 75.3 (SD 12.0). The mortality rate at 3-months was 12 % and 17 % at 1-year. In multivariable testing, neither elevated PLR or NLR were significant predictors of 1-year mortality. Elevated serum creatinine was associated with increased mortality at 1-year (OR 1.89; 95 % CI 1.30, 2.74), as was hyperglycemia (OR 1.50; 95 % CI 1.06, 2.13). Elevated serum creatinine remained influential (OR 1.64; 95 % CI 1.06, 2.54) on mortality at 3-months.

CONCLUSIONS

This is the first study to evaluate laboratory values at presentation in conjunction with survival following cervical fractures. The results can be used to help forecast natural history and in expectation management. They may also help formulate treatment plans, especially when the need for surgical intervention is not clearly defined.

Failure Analysis of a Humeral Shaft Locking Compression Plate-Surface Investigation and Simulation by Finite Element Method

A case study of a failed humeral shaft locking compression plate is presented, starting with a clinical case where failure occurred and an implant replacement was required. This study uses finite element method (FEM) in order to determine the failure modes for the clinical case. Four loading scenarios that simulate daily life activities were considered for determining the stress distribution in a humeral shaft locking compression plate (LCP). Referring to the simulation results, the failure analysis was performed on the explant. Using fracture surface investigation methods, stereomicroscopy and scanning electron microscopy (SEM), a mixed mode failure was determined. An initial fatigue failure occurred followed by a sudden failure of the plate implant as a consequence of patient's fall. The fracture morphology was mostly masked by galling; the fractured components were in a sliding contact. Using information from simulations, the loading was inferred and correlated with fracture site and surface features.