scholarly journals Does Flipping the Tubercle for Improved Cartilage Repair Exposure Increase the Risk for Arthrofibrosis?

Cartilage ◽  
2020 ◽  
pp. 194760352096820
Author(s):  
Gergo Merkely ◽  
Jakob Ackermann ◽  
Emily Sheehy ◽  
Andreas H. Gomoll
Keyword(s):  
Logistic Regression ◽  
Cartilage Repair ◽  
Regression Models ◽  
Case Control Study ◽  
Level Of Evidence ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Repair Procedure ◽  
Control Study

Objective We sought to determine whether rates of postoperative arthrofibrosis following tibial tuberosity osteotomy (TTO) with complete mobilization of the fragment (TTO-HD) are comparable to TTOs where the hinge remained intact (TTO-HI). Design Patients who underwent TTO with concomitant cartilage repair procedure between January 2007 and May 2017, with at least 2 years of follow-up were included in this study. Postoperative reinterventions following TTO-HD and TTO-HI were assessed and multivariant logistic regression models were used to identify whether postoperative reinterventions can be attributed to either technique when controlled for defect size or defect number. Results A total of 127 patients (TTO-HD, n = 80; TTO-HI, n = 47) were included in this study. Significantly more patients in the TTO-HD group (31.2%) developed postoperative arthrofibrosis compared with TTO-HI (6.4%; P < 0.05). Multivariant logistic regression revealed that TTO-HD is an independent risk factor for predicting postoperative arthrofibrosis (OR 6.5, CI = 1.7-24.2, P < 0.05). Conclusion Patients who underwent TTO with distal hinge detachment and a proximally flipped tubercle for better exposure during concomitant cartilage repair were at a significantly higher risk of postoperative arthrofibrosis than patients with similar size and number of defects treated without mobilization of the tubercle. While certain procedures can benefit from larger exposure, surgeons should be aware of the increased risk of postoperative arthrofibrosis. Level of Evidence Level III, case-control study.

scholarly journals The Association between Hyperhomocysteinemia and Thoracoabdominal Aortic Aneurysms in Chinese Population

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Jianqing Deng ◽  
Jie Liu ◽  
Long Cao ◽  
Qun Wang ◽  
Hongpeng Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Confidence Interval ◽  
Regression Models ◽  
Case Control Study ◽  
Case Control ◽  
Aortic Aneurysms ◽  
Control Group ◽  
Case Group ◽  
Logistic Regression Models ◽  
Control Study

Objective. To shed light on the association between hyperhomocysteinemia (HHcy) and thoracoabdominal aortic aneurysms (TAAAs). Methods. From July 2013 to March 2017, we conducted a matched case–control study involving individuals who presented to the Chinese People’s Liberation Army General Hospital and underwent thoracoabdominal magnetic resonance angiography or computed tomography angiography. A total of 73 patients with TAAAs were enrolled in the case group, and 219 sex-matched subjects without TAAAs were included in the control group. We then examined the relationship between HHcy and TAAAs by logistic regression models and subgroup as well as interaction analyses. Results. Serum total homocysteine (tHcy) concentrations and the proportion of HHcy were significantly higher in the patients with TAAAs than in those without TAAAs (P<0.001). Furthermore, the multivariate logistic regression models indicated that participants with HHcy had a 2.14-fold higher risk of TAAAs than those with a normal serum tHcy level (adjusted odds ratio (OR), 2.14; 95% confidence interval, 1.00–4.56). Similarly, each 1 μmol/L increase in the serum tHcy concentration was associated with a 4% higher risk of TAAAs (adjusted OR, 1.04; 95% confidence interval, 1.00–1.07). Subgroup analyses indicated that HHcy tended to be associated with a greater risk of TAAAs in all stratified subgroups (adjusted ORs>1). Furthermore, the interaction analyses revealed no interactive role in the association between HHcy and TAAAs. Conclusions. The present case–control study suggests that HHcy is an independent risk factor for TAAAs. Larger prospective cohort studies are warranted to validate these findings.

scholarly journals Evaluation of logistic regression models and effect of covariates for case–control study in RNA-Seq analysis

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Seung Hoan Choi ◽  
Adam T. Labadorf ◽  
Richard H. Myers ◽  
Kathryn L. Lunetta ◽  
Josée Dupuis ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Case Control Study ◽  
Case Control ◽  
Rna Seq ◽  
Logistic Regression Models ◽  
Control Study

scholarly journals Increased risk of rheumatoid arthritis among mothers with children who carry DRB1 risk-associated alleles

2017 ◽  
Vol 76 (8) ◽  
pp. 1405-1410 ◽  
Author(s):  
Giovanna Ibeth Cruz ◽  
Xiaorong Shao ◽  
Hong Quach ◽  
Kimberly A Ho ◽  
Kirsten Sterba ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Regression Models ◽  
Case Control Study ◽  
Shared Epitope ◽  
Logistic Regression Models ◽  
Live Births ◽  
Risk Alleles ◽  
Maternal Genotype ◽  
Increased Risk ◽  
Control Study

ObjectiveTo investigate whether a child’s genotype affects a mother’s risk of rheumatoid arthritis (RA) beyond the risk associated with her genotype and to test whether exposure to fetal alleles inherited from the father increases risk of RA among mothers without risk alleles.MethodsA case–control study was conducted among 1165 mothers (170 cases/995 controls) and their respective 1482 children. We tested the association between having any child with alleles encoding amino acids (AAs) associated with RA including the ‘shared epitope’ (SE) and DERAA AA sequences at positions 70–74; AA valine, lysine and alanine at positions 11, 71 and 74 of HLA-DRB1; aspartic acid at position 9 of HLA-B and phenylalanine at position 9 of DPB1. We used logistic regression models to estimate OR and 95% CI for each group of alleles, adjusting for maternal genotype and number of live births.ResultsWe found increased risk of RA among mothers who had any child with SE (OR 3.0; 95% CI 2.0 to 4.6); DERAA (OR 1.7; 95% CI 1.1 to 2.6); or valine (OR 2.3; 95% CI 1.6 to 3.5), lysine (OR 2.3; 95% CI 1.5 to 3.4) and alanine (OR 2.8; 95% CI 1.2 to 6.4) at DRB1 positions 11, 71 and 74, respectively. Among non-carrier mothers, increased risk of RA was associated with having children who carried DERAA (OR 1.7; 95% CI 1.0 to 2.7) and alleles encoding lysine at DRB1 position 71 (OR 2.3; 95% CI 1.5 to 4.8).ConclusionFindings support the hypothesis that a child’s genotype can contribute independently to risk of RA among mothers.

Use of random forest to estimate population attributable fractions from a case-control study of Salmonella enterica serotype Enteritidis infections

2015 ◽  
Vol 143 (13) ◽  
pp. 2786-2794 ◽  
Author(s):  
W. GU ◽  
A. R. VIEIRA ◽  
R. M. HOEKSTRA ◽  
P. M. GRIFFIN ◽  
D. COLE
Keyword(s):  
Logistic Regression ◽  
Random Forest ◽  
Variable Selection ◽  
Regression Models ◽  
Case Control Study ◽  
Case Control ◽  
Logistic Regression Models ◽  
Population Attributable Fractions ◽  
Attributable Fractions ◽  
Control Study

SUMMARYTo design effective food safety programmes we need to estimate how many sporadic foodborne illnesses are caused by specific food sources based on case-control studies. Logistic regression has substantive limitations for analysing structured questionnaire data with numerous exposures and missing values. We adapted random forest to analyse data of a case-control study of Salmonella enterica serotype Enteritidis illness for source attribution. For estimation of summary population attributable fractions (PAFs) of exposures grouped into transmission routes, we devised a counterfactual estimator to predict reductions in illness associated with removing grouped exposures. For the purpose of comparison, we fitted the data using logistic regression models with stepwise forward and backward variable selection. Our results show that the forward and backward variable selection of logistic regression models were not consistent for parameter estimation, with different significant exposures identified. By contrast, the random forest model produced estimated PAFs of grouped exposures consistent in rank order with results obtained from outbreak data, with egg-related exposures having the highest estimated PAF (22·1%, 95% confidence interval 8·5–31·8). Random forest might be structurally more coherent and efficient than logistic regression models for attributing Salmonella illnesses to sources involving many causal pathways.

scholarly journals Low HbA1c levels and all-cause or cardiovascular mortality among people without diabetes: the US National Health and Nutrition Examination Survey 1999–2015

2020 ◽  
Author(s):  
Kosuke Inoue ◽  
Roch Nianogo ◽  
Donatello Telesca ◽  
Atsushi Goto ◽  
Vahe Khachadourian ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Regression Models ◽  
Machine Learning Algorithms ◽  
Logistic Regression Models ◽  
Health And Nutrition ◽  
Increased Risk ◽  
The Us ◽  
All Cause Mortality ◽  
Hba1c Levels

Abstract Objective It is unclear whether relatively low glycated haemoglobin (HbA1c) levels are beneficial or harmful for the long-term health outcomes among people without diabetes. We aimed to investigate the association between low HbA1c levels and mortality among the US general population. Methods This study includes a nationally representative sample of 39 453 US adults from the National Health and Nutrition Examination Surveys 1999–2014, linked to mortality data through 2015. We employed the parametric g-formula with pooled logistic regression models and the ensemble machine learning algorithms to estimate the time-varying risk of all-cause and cardiovascular mortality by HbA1c categories (low, 4.0 to &lt;5.0%; mid-level, 5.0 to &lt;5.7%; prediabetes, 5.7 to &lt;6.5%; and diabetes, ≥6.5% or taking antidiabetic medication), adjusting for 72 potential confounders including demographic characteristics, lifestyle, biomarkers, comorbidities and medications. Results Over a median follow-up of 7.5 years, 5118 (13%) all-cause deaths, and 1116 (3%) cardiovascular deaths were observed. Logistic regression models and machine learning algorithms showed nearly identical predictive performance of death and risk estimates. Compared with mid-level HbA1c, low HbA1c was associated with a 30% (95% CI, 16 to 48) and a 12% (95% CI, 3 to 22) increased risk of all-cause mortality at 5 years and 10 years of follow-up, respectively. We found no evidence that low HbA1c levels were associated with cardiovascular mortality risk. The diabetes group, but not the prediabetes group, also showed an increased risk of all-cause mortality. Conclusions Using the US national database and adjusting for an extensive set of potential confounders with flexible modelling, we found that adults with low HbA1c were at increased risk of all-cause mortality. Further evaluation and careful monitoring of low HbA1c levels need to be considered.

Prognostic significance of international normalised ratio and prothrombin time in Chinese acute ischaemic stroke patients

2022 ◽  
pp. postgradmedj-2021-141204
Author(s):  
Shoujiang You ◽  
Qiao Han ◽  
Xiaofeng Dong ◽  
Chongke Zhong ◽  
Huaping Du ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Ischaemic Stroke ◽  
Prothrombin Time ◽  
Hospital Discharge ◽  
Acute Ischaemic Stroke ◽  
Regression Models ◽  
Logistic Regression Models ◽  
Risk Of Death ◽  
Increased Risk ◽  
International Normalised Ratio

BackgroundWe investigated the association between international normalised ratio (INR) and prothrombin time (PT) levels on hospital admission and in-hospital outcomes in acute ischaemic stroke (AIS) patients.MethodsA total of 3175 AIS patients enrolled from December 2013 to May 2014 across 22 hospitals in Suzhou city were included. We divided patients into four groups according to their level of admission INR: (<0.92), Q2 (0.92–0.98), Q3 (0.98–1.04) and Q4 (≥1.04) and PT. Logistic regression models were used to estimate the effect of INR and PT on death or major disability (modified Rankin Scale score (mRS)>3), death and major disability (mRS scores 4–5) separately on discharge in AIS patients.ResultsHaving an INR level in the highest quartile (Q4) was associated with an increased risk of death or major disability (OR 1.69; 95% CI 1.23 to 2.31; P-trend=0.001), death (OR, 2.64; 95% CI 1.12 to 6.19; P-trend=0.002) and major disability on discharge (OR, 1.56; 95% CI 1.13 to 2.15; P-trend=0.008) in comparison to Q1 after adjusting for potential covariates. Moreover, in multivariable logistic regression models, having a PT level in the highest quartile also significantly increased the risk of death (OR, 2.38; 95% CI 1.06 to 5.32; P-trend=0.006) but not death or major disability (P-trend=0.240), major disability (P-trend=0.606) on discharge.ConclusionsHigh INR at admission was independently associated with death or major disability, death and major disability at hospital discharge in AIS patients and increased PT was also associated with death at hospital discharge.

Risk factors and outcomes of postoperative emergency response team activation: a matched case-control study

2020 ◽  
Vol 22 (1) ◽  
pp. 6-14
Author(s):  
Matthew I Hardman ◽  
◽  
S Chandralekha Kruthiventi ◽  
Michelle R Schmugge ◽  
Alexandre N Cavalcante ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Postoperative Complications ◽  
Emergency Response ◽  
Case Control Study ◽  
Case Control ◽  
Multiple Logistic Regression ◽  
Increased Risk ◽  
Response Team ◽  
Control Study

OBJECTIVE: To determine patient and perioperative characteristics associated with unexpected postoperative clinical deterioration as determined for the need of a postoperative emergency response team (ERT) activation. DESIGN: Retrospective case–control study. SETTING: Tertiary academic hospital. PARTICIPANTS: Patients who underwent general anaesthesia discharged to regular wards between 1 January 2013 and 31 December 2015 and required ERT activation within 48 postoperative hours. Controls were matched based on age, sex and procedure. MAIN OUTCOME MEASURES: Baseline patient and perioperative characteristics were abstracted to develop a multiple logistic regression model to assess for potential associations for increased risk for postoperative ERT. RESULTS: Among 105 345 patients, 797 had ERT calls, with a rate of 7.6 (95% CI, 7.1–8.1) calls per 1000 anaesthetics (0.76%). Multiple logistic regression analysis showed the following risk factors for postoperative ERT: cardiovascular disease (odds ratio [OR], 1.61; 95% CI, 1.18–2.18), neurological disease (OR, 1.57; 95% CI, 1.11–2.22), preoperative gabapentin (OR, 1.60; 95% CI, 1.17–2.20), longer surgical duration (OR, 1.06; 95% CI, 1.02–1.11, per 30 min), emergency procedure (OR, 1.54; 95% CI, 1.09–2.18), and intraoperative use of colloids (OR, 1.50; 95% CI, 1.17–1.92). Compared with control participants, ERT patients had a longer hospital stay, a higher rate of admissions to critical care (55.5%), increased postoperative complications, and a higher 30-day mortality rate (OR, 3.36; 95% CI, 1.73–6.54). CONCLUSION: We identified several patient and procedural characteristics associated with increased likelihood of postoperative ERT activation. ERT intervention is a marker for increased rates of postoperative complications and death.

scholarly journals IL-10 Promoter Genetic Polymorphisms and Risk of Kawasaki Disease in Taiwan

2011 ◽  
Vol 30 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Kai-Sheng Hsieh ◽  
Tsung-Jen Lai ◽  
Yu-Tung Hwang ◽  
Ming-Wei Lin ◽  
Ken-Pen Weng ◽  
...  
Keyword(s):  
Kawasaki Disease ◽  
Case Control Study ◽  
Serum Levels ◽  
High Plasma ◽  
Case Control ◽  
Healthy Children ◽  
Increased Risk ◽  
Family Based ◽  
Control Study

Kawasaki disease (KD) is the most common cause of pediatric acquired heart disease. KD patients have spontaneously high plasma/serum levels of IL-10 during the acute phase. Therefore, two independent studies were carried out to investigate the association between genetic variants in IL-10 promoter (−1082, −819, and −592) and risk of KD. A total of 134 trios were included for the family-based association study. A significantly preferential transmission of the C allele at loci −819 T > C and −592 A > C for KD cases was observed (Ppermutation= 0.029 and Ppermutation= 0.034, respectively). There was a significant increase in the transmission of haplotype CC (p= 0.016) at the above two loci (OR, 1.632; 95% CI, 1.090–2.443; Ppermutation= 0.019). We also carried out a follow-up case-control study that included 146 KD cases and 315 unrelated healthy children. {The haplotype CC (−819, −592) showed an increased risk of KD (but statistically non-significant; OR, 1.332; 95% CI, 0.987–1.797;p= 0.061). In diplotype analysis, a trend was found between number of CC haplotype and risk of KD (but non-significant,p= 0.061). In conclusion, CC genotype and CC/CC diplotype at IL-10-819T > C and −592A > C were significantly associated with risk of KD in case-parent trio study, which were replicated partially in our follow-up case-control study.

scholarly journals Suicide in Psychiatric Inpatients— A Case–Control Study

2020 ◽  
Vol 11 ◽  
Author(s):  
Eberhard A. Deisenhammer ◽  
Elisa-Marie Behrndt-Bauer ◽  
Georg Kemmler ◽  
Christian Haring ◽  
Carl Miller
Keyword(s):  
Logistic Regression ◽  
Hospital Stay ◽  
Attempted Suicide ◽  
Case Control Study ◽  
Psychiatric Inpatients ◽  
Case Control ◽  
Increased Risk ◽  
Inpatient Suicide ◽  
History Of ◽  
Control Study

Objective: Psychiatric inpatients constitute a population at considerably increased risk for suicide. Identifying those at imminent risk is still a challenging task for hospital staff. This retrospective case–control study focused on clinical risk factors related to the course of the hospital stay.Method: Inpatient suicide cases were identified by linking the Tyrol Suicide Register with the registers of three psychiatric hospitals in the state. Control subjects were patients who had also been hospitalized in the respective psychiatric unit but had not died by suicide. Matching variables included sex, age, hospital, diagnosis, and admission date. The study period comprised 7 years. Data were analyzed by the appropriate two-sample tests and by logistic regression.Results: A total of 30 inpatient suicide cases and 54 control patients were included. A number of factors differentiated cases from controls; after correction for multiple testing, the following retained significance: history of aborted suicide, history of attempted suicide, history of any suicidal behavior/threats, suicidal ideation continuing during hospitalization, no development of prospective plans, no improvement of mood during the hospital stay, and leaving ward without giving notice. Logistic regression identified the latter three variables and history of attempted suicide as highly significant predictors of inpatient suicide.Conclusions: Preventive measures during hospitalization include thorough assessment of suicidal features, an emphasis on the development of future perspectives, and a review of hospital regulations for patients who want to leave the ward.

scholarly journals Determinants of adherence to anti-hypertensive medications among adult hypertensive patients on follow-up in Hawassa Referral Hospital: A case–control study

2019 ◽  
Vol 8 ◽  
pp. 204800401989275
Author(s):  
Atsede Getenet ◽  
Mulugeta Tesfa ◽  
Aster Ferede ◽  
Yalew Molla
Keyword(s):  
Blood Pressure ◽  
Logistic Regression ◽  
Medication Adherence ◽  
Case Control Study ◽  
Case Control ◽  
Referral Hospital ◽  
Hypertensive Patients ◽  
Adherence Scale ◽  
Control Study

Introduction Hypertension is a global challenge which accounts for high morbidity and mortality rates in the world. The availability of effective anti-hypertensive medications does not result in a good outcome in controlling blood pressure which points towards poor adherence. Thus, this study was conducted to assess the determinants of adherence to anti-hypertensive medication among hypertensive patients on follow-up in Hawassa Referral Hospital. Methods Institution-based case–control study was conducted on a sample of 289 clients from February to May 2018. Census was conducted on 1600 clients to select cases and controls. Then, systematic random sampling was used to select study subjects, and adherence was measured by Morisky medication adherence scale. The associations of variables were analyzed using bivariable followed by multivariable logistic regression analyses. Results The respondent’s adherence to medication was found to be 67% as measured by Morisky medication adherence scale. The multivariate logistic regression analysis showed that medication adherence was found to be better in younger age (<45) (AOR = 3.8), clients living in urban areas (AOR = 6.84), those clients who had good knowledge (AOR = 3.13), those with no co-morbidities (AOR = 3.14) and patients who controlled their blood pressure (<140/90) (AOR = 2.35). Conclusions The rate of medication adherence was found to be low, and hence educational interventions focusing on factors promoting adherence and patients’ health support should be implemented.

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