scholarly journals The change of coagulation profile in two-staged arthroplasty for periprosthetic joint infection patients: a retrospective cohort study

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Hao Li ◽  
Rui Li ◽  
L. L. Li ◽  
Wei Chai ◽  
Chi Xu ◽  
...  
Keyword(s):  
Cohort Study ◽  
Periprosthetic Joint Infection ◽  
Retrospective Cohort Study ◽  
Persistent Infection ◽  
Retrospective Cohort ◽  
Joint Infection ◽  
Diagnostic Study ◽  
Level Of Evidence ◽  
Coagulation Profile ◽  
Significant Difference

Abstract Aims Periprosthetic joint infection (PJI) is a serious complication of total joint arthroplasty. We performed a retrospective cohort study to evaluate (1) the change of coagulation profile in two-staged arthroplasty patients and (2) the relationship between coagulation profile and the outcomes of reimplantation. Method Between January 2011 and December 2018, a total of 202 PJI patients who were operated on with two-staged arthroplasty were included in this study initially. This study continued for 2 years and the corresponding medical records were scrutinized to establish the diagnosis of PJI based on the 2014 MSIS criteria. The coagulation profile was recorded at two designed points, (1) preresection and (2) preimplantation. The difference of coagulation profile between preresection and preimplantation was evaluated. Receiver operating characteristic curves (ROC) were used to evaluate the diagnostic efficiency of the coagulation profile and change of coagulation profile for predicting persistent infection before reimplantation. Results The levels of APTT, INR, platelet count, PT, TT, and plasma fibrinogen before spacer implantation were significantly higher than before reimplantation. No significant difference was detected in the levels of D-dimer, ACT, and AT3 between the two groups. The AUC of the combined coagulation profile and the change of combined coagulation profile for predicting persistent infection before reimplantation was 0.667 (95% CI 0.511, 0.823) and 0.667 (95% CI 0.526, 0.808), respectively. Conclusion The coagulation profile before preresection is different from before preimplantation in two-staged arthroplasty and the coagulation markers may play a role in predicting infection eradication before reimplantation when two-stage arthroplasty is performed. Level of evidence Level III, diagnostic study.

The Change of Coagulation Profile in Two-staged Arthroplasty for Periprosthetic Joint Infection Patients：A Retrospective Cohort Study

2021 ◽  
Author(s):  
Hao Li ◽  
Rui Li ◽  
Liangliang Li ◽  
Chi Xu ◽  
Wei Chai ◽  
...  
Keyword(s):  
Cohort Study ◽  
Periprosthetic Joint Infection ◽  
Retrospective Cohort Study ◽  
Persistent Infection ◽  
Retrospective Cohort ◽  
Joint Infection ◽  
Diagnostic Study ◽  
Level Of Evidence ◽  
Coagulation Profile ◽  
Significant Difference

Abstract Aims：Periprosthetic joint infection (PJI) a serious complication of total joint arthroplasty. We performed a retrospective cohort study to evaluate 1) the change of coagulation profile in two-staged arthroplasty patients 2) the relationship between coagulation profile and the outcomes of reimplantation. Method: Between 2011 January and 2018 December, a total of 202 PJI patients who were performed with two-staged arthroplasty were included in this study initially. They were followed up at least 2 years and corresponding medical records were scrutinized to establish the diagnosis of PJI based on the 2014 MSIS criteria. The coagulation profile was recorded at two designed points 1) preresection and 2) preimplantation. Then, the difference of coagulation profile between preresection and preimplantation was evaluated. Besides, receiver operating characteristic curves (ROC) were used to evaluate the diagnostic efficiency of coagulation profile and the change of coagulation profile for predicting persistent infection before reimplantation. Results: The levels of APTT, INR, platelet count, PT, TT and plasma fibrinogen before spacer implantation were significantly higher than that before reimplantation. No significant difference was detected in the levels of D-dimer, ACT, AT3 between the two groups. The AUC of the combined coagulation profile and the change of combined coagulation profile for predicting persistent infection before reimplantation was 0.667 (95%CI:(0.511,0.823) and 0.667 (95%CI: (0.526,0.808)), respectively.Conclusion: The coagulation profile before preresection is different from that before preimplantation in two-staged arthroplasty and the coagulation markers may play a role in predicting infection eradication before reimplantation when two-stage arthroplasty is performed. Level of Evidence: level III, diagnostic study

scholarly journals Subclinical Abnormal Coagulation in Periprosthetic Joint Infection: A Retrospective Cohort Study

2021 ◽  
Author(s):  
Hao Li ◽  
Jun Fu ◽  
Wei Chai ◽  
Chi Xu ◽  
Libo Hao ◽  
...  
Keyword(s):  
Cohort Study ◽  
Platelet Count ◽  
Periprosthetic Joint Infection ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Joint Infection ◽  
Plasma Fibrinogen ◽  
Diagnostic Efficacy ◽  
Coagulation Profile ◽  
D Dimer

Abstract Background：Periprosthetic joint infection (PJI) is a serious complication of total joint arthroplasty and often indicate disastrous outcomes. However, the change of coagulation profile in PJI patients has not been explored up to now. Therefore, we performed a single-center retrospective cohort study to determine: 1) the coagulation profile in PJI patients 2) the diagnostic efficacy of coagulation profile for PJI diagnosis based on the MSIS criteria.Methods: Between 2016 January and 2018 December, a total of 371 patients receiving joint revisions were included in this cohort study. The corresponding medical records were scrutinized to establish the final diagnosis of PJI according to the 2014 MSIS criteria. The difference of coagulation profile between PJI and aseptic loosening patients was analyzed. Moreover, receiver operating characteristic curves were used to determine the proper sensitivity and specificity of coagulation makers.Results: The levels of APTT, D-dimer, plasma fibrinogen, INR and Platelet Count in PJI group were significantly higher than that in non-PJI group(P<0.05). The AUCs of plasma APTT, plasma D-dimer, plasma fibrinogen and platelet count for PJI diagnosis were0.625(95%CI:(0.543,0.706)),0.731(95%CI:(0.656,0.806)),0.831(95%CI:(0.771,0.890)) and 0.733(95%CI:(0.660,0.805)), respectively. Moreover, the coagulation profile was combined by logistic model and the corresponding AUC was0.865(95%CI:(0.812,0.918)).Conclusions: Despite relatively normal coagulation profile, PJI patients suffer from subclinical abnormal coagulation compared to non-PJI patients. The coagulation profile (APTT, INR, plasma fibrinogen, platelet count, D-dimer) in PJI patients is different from that in non-PJI patients significantly. And the coagulation profile can play a role in PJI diagnosis.

Nonunion Rates in Hind- and Midfoot Arthrodesis in Current, Ex-, and Nonsmokers

2020 ◽  
pp. 107110072097126
Author(s):  
Jack Allport ◽  
Jayasree Ramaskandhan ◽  
Malik S. Siddique
Keyword(s):  
Risk Factor ◽  
Cohort Study ◽  
Relative Risk ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Smoking Status ◽  
Time Frame ◽  
Modifiable Risk Factor ◽  
Level Of Evidence ◽  
Significant Difference

Background: Nonunion rates in hind or midfoot arthrodesis have been reported as high as 41%. The most notable and readily modifiable risk factor that has been identified is smoking. In 2018, 14.4% of the UK population were active smokers. We examined the effect of smoking status on union rates for a large cohort of patients undergoing hind- or midfoot arthrodesis. Methods: In total, 381 consecutive primary joint arthrodeses were identified from a single surgeon’s logbook (analysis performed on a per joint basis, with a triple fusion reported as 3 separate joints). Patients were divided based on self-reported smoking status. Primary outcome was clinical union. Delayed union, infection, and the need for ultrasound bone stimulation were secondary outcomes. Results: Smoking prevalence was 14.0%, and 32.2% were ex-smokers. Groups were comparable for sex, diabetes, and body mass index. Smokers were younger and had fewer comorbidities. Nonunion rates were higher in smokers (relative risk, 5.81; 95% CI, 2.54-13.29; P < .001) with no statistically significant difference between ex-smokers and nonsmokers. Smokers had higher rates of infection ( P = .05) and bone stimulator use ( P < .001). Among smokers, there was a trend toward slower union with heavier smoking ( P = .004). Conclusion: This large retrospective cohort study confirmed previous evidence that smoking has a considerable negative effect on union in arthrodesis. The 5.81 relative risk in a modifiable risk factor is extremely high. Arthrodesis surgery should be undertaken with extreme caution in smokers. Our study shows that after cessation of smoking, the risk returns to normal, but we were unable to quantify the time frame. Level of Evidence: Level III, retrospective cohort study.

scholarly journals Risk Factors of Daptomycin-Induced Eosinophilic Pneumonia in a Population with Osteoarticular Infection

Antibiotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 446
Author(s):  
Laura Soldevila-Boixader ◽  
Bernat Villanueva ◽  
Marta Ulldemolins ◽  
Eva Benavent ◽  
Ariadna Padulles ◽  
...  
Keyword(s):  
Risk Factors ◽  
Adverse Effect ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Older Patients ◽  
Retrospective Cohort ◽  
Joint Infection ◽  
Eosinophilic Pneumonia ◽  
Severe Adverse Effect ◽  
Osteoarticular Infection

Background: Daptomycin-induced eosinophilic pneumonia (DEP) is a rare but severe adverse effect and the risk factors are unknown. The aim of this study was to determine risk factors for DEP. Methods: A retrospective cohort study was performed at the Bone and Joint Infection Unit of the Hospital Universitari Bellvitge (January 2014–December 2018). To identify risk factors for DEP, cases were divided into two groups: those who developed DEP and those without DEP. Results: Among the whole cohort (n = 229) we identified 11 DEP cases (4.8%) and this percentage almost doubled in the subgroup of patients ≥70 years (8.1%). The risk factors for DEP were age ≥70 years (HR 10.19, 95%CI 1.28–80.93), therapy >14 days (7.71, 1.98–30.09) and total cumulative dose of daptomycin ≥10 g (5.30, 1.14–24.66). Conclusions: Clinicians should monitor cumulative daptomycin dosage to minimize DEP risk, and be cautious particularly in older patients when the total dose of daptomycin exceeds 10 g.

scholarly journals 387. Markers for Mortality in COVID-19 Patients with Atrial Fibrillation or Flutter

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S262-S262
Author(s):  
Kok Hoe Chan ◽  
Bhavik Patel ◽  
Iyad Farouji ◽  
Addi Suleiman ◽  
Jihad Slim
Keyword(s):  
Atrial Fibrillation ◽  
Logistic Regression ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Prognostic Markers ◽  
Univariate Analysis ◽  
Laboratory Data ◽  
Significant Difference ◽  
New Onset

Abstract Background Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection can lead to many different cardiovascular complications, we were interested in studying prognostic markers in patients with atrial fibrillation/flutter (A. Fib/Flutter). Methods A retrospective cohort study of patients with confirmed COVID-19 and either with existing or new onset A. Fib/Flutter who were admitted to our hospital between March 15 and May 20, 2020. Demographic, outcome and laboratory data were extracted from the electronic medical record and compared between survivors and non-survivors. Univariate and multivariate logistic regression were employed to identify the prognostic markers associated with mortality in patients with A. Fib/Flutter Results The total number of confirmed COVID-19 patients during the study period was 350; 37 of them had existing or new onset A. Fib/Flutter. Twenty one (57%) expired, and 16 (43%) were discharged alive. The median age was 72 years old, ranged from 19 to 100 years old. Comorbidities were present in 33 (89%) patients, with hypertension (82%) being the most common, followed by diabetes (46%) and coronary artery disease (30%). New onset of atrial fibrillation was identified in 23 patients (70%), of whom 13 (57%) expired; 29 patients (78%) presented with atrial fibrillation with rapid ventricular response, and 2 patients (5%) with atrial flutter. Mechanical ventilation was required for 8 patients, of whom 6 expired. In univariate analysis, we found a significant difference in baseline ferritin (p=0.04), LDH (p=0.02), neutrophil-lymphocyte ratio (NLR) (p=0.05), neutrophil-monocyte ratio (NMR) (p=0.03) and platelet (p=0.015) between survivors and non-survivors. With multivariable logistic regression analysis, the only value that had an odds of survival was a low NLR (odds ratio 0.74; 95% confidence interval 0.53–0.93). Conclusion This retrospective cohort study of hospitalized patients with COVID-19 demonstrated an association of increase NLR as risk factors for death in COVID-19 patients with A. Fib/Flutter. A high NLR has been associated with increased incidence, severity and risk for stroke in atrial fibrillation patients but to our knowledge, we are first to demonstrate the utilization in mortality predictions in COVID-19 patients with A. Fib/Flutter. Disclosures Jihad Slim, MD, Abbvie (Speaker’s Bureau)Gilead (Speaker’s Bureau)Jansen (Speaker’s Bureau)Merck (Speaker’s Bureau)ViiV (Speaker’s Bureau)

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