scholarly journals Age, time from injury to surgery and quadriceps strength affect the risk of revision surgery after primary ACL reconstruction

2021 ◽  
Author(s):  
Riccardo Cristiani ◽  
Magnus Forssblad ◽  
Gunnar Edman ◽  
Karl Eriksson ◽  
Anders Stålman
Keyword(s):  
Risk Factors ◽  
Potential Risk ◽  
Revision Surgery ◽  
Quadriceps Strength ◽  
Activity Level ◽  
Hop Test ◽  
Potential Risk Factors ◽  
Tegner Activity Level ◽  
Single Leg Hop Test ◽  
Time From Injury

Abstract Purpose To identify preoperative, intraoperative and postoperative factors associated with revision anterior cruciate ligament reconstruction (ACLR) within 2 years of primary ACLR. Methods Patients who underwent primary ACLR at our institution, from January 2005 to March 2017, were identified. The primary outcome was the occurrence of revision ACLR within 2 years of primary ACLR. Univariate and multivariate logistic regression analyses were used to evaluate preoperative [age, gender, body mass index (BMI), time from injury to surgery, pre-injury Tegner activity level], intraoperative [graft type, graft diameter, medial meniscus (MM) and lateral meniscus (LM) resection or repair, cartilage injury] and postoperative [side-to-side (STS) anterior laxity, limb symmetry index (LSI) for quadriceps and hamstring strength and single-leg-hop test performance at 6 months] risk factors for revision ACLR. Results A total of 6,510 primary ACLRs were included. The overall incidence of revision ACLR within 2 years was 2.5%. Univariate analysis showed that age < 25 years, BMI < 25 kg/m2, time from injury to surgery < 12 months, pre-injury Tegner activity level ≥ 6, LM repair, STS laxity > 5 mm, quadriceps strength and single-leg-hop test LSI of ≥ 90% increased the odds; whereas, MM resection and the presence of a cartilage injury reduced the odds of revision ACLR. Multivariate analysis revealed that revision ACLR was significantly related only to age < 25 years (OR 6.25; 95% CI 3.57–11.11; P < 0.001), time from injury to surgery < 12 months (OR 2.27; 95% CI 1.25–4.17; P = 0.007) and quadriceps strength LSI of ≥ 90% (OR 1.70; 95% CI 1.16–2.49; P = 0.006). Conclusion Age < 25 years, time from injury to surgery < 12 months and 6-month quadriceps strength LSI of ≥ 90% increased the odds of revision ACLR within 2 years of primary ACLR. Understanding the risk factors for revision ACLR has important implications when it comes to the appropriate counseling for primary ACLR. In this study, a large spectrum of potential risk factors for revision ACLR was analyzed in a large cohort. Advising patients regarding the results of an ACLR should also include potential risk factors for revision surgery. Level of evidence III.

scholarly journals Age, time from injury to surgery and hop performance after primary ACLR affect the risk of contralateral ACLR

2021 ◽  
Author(s):  
Riccardo Cristiani ◽  
Magnus Forssblad ◽  
Gunnar Edman ◽  
Karl Eriksson ◽  
Anders Stålman
Keyword(s):  
Cruciate Ligament ◽  
Multivariable Analysis ◽  
Lateral Meniscus ◽  
Activity Level ◽  
Cartilage Injury ◽  
Factors Affecting ◽  
Hop Test ◽  
Tegner Activity Level ◽  
Single Leg Hop Test ◽  
Time From Injury

Abstract Purpose To evaluate factors affecting the risk of contralateral anterior cruciate ligament reconstruction (ACLR) within 5 years of primary ACLR. Methods Primary ACLRs performed at Capio Artro Clinic, Stockholm, Sweden, during the period 2005–2014, were reviewed. The outcome of the study was the occurrence of contralateral ACLR within 5 years of primary ACLR. Univariable and multivariable logistic regression analyses were employed to identify preoperative [age, gender, body mass index (BMI), time from injury to surgery, pre-injury Tegner activity level], intraoperative [graft type, medial meniscus (MM) and lateral meniscus (LM) resection or repair, cartilage injury] and postoperative [limb symmetry index (LSI) for quadriceps and hamstring strength and single-leg-hop test performance at 6 months] risk factors for contralateral ACLR. Results A total of 5393 patients who underwent primary ACLR were included. The incidence of contralateral ACLR within 5 years was 4.7%. Univariable analysis revealed that age ≥ 25 years, BMI ≥ 25 kg/m2, time from injury to surgery ≥ 12 months and the presence of a cartilage injury reduced the odds, whereas female gender, pre-injury Tegner activity level ≥ 6, quadriceps and hamstring strength and a single-leg-hop test LSI of ≥ 90% increased the odds of contralateral ACLR. Multivariable analysis showed that the risk of contralateral ACLR was significantly affected only from age ≥ 25 years (OR 0.40; 95% CI 0.28–0.58; P < 0.001), time from injury to surgery ≥ 12 months (OR 0.48; 95% CI 0.30–0.75; P = 0.001) and a single-leg-hop test LSI of ≥ 90% (OR 1.56; 95% CI 1.04–2.34; P = 0.03). Conclusion Older age (≥ 25 years) and delayed primary ACLR (≥ 12 months) reduced the odds, whereas a symmetrical (LSI ≥ 90%) 6-month single-leg-hop test increased the odds of contralateral ACLR within 5 years of primary ACLR. Knowledge of the factors affecting the risk of contralateral ACLR is important when it comes to the appropriate counselling for primary ACLR. Patients should be advised regarding factors affecting the risk of contralateral ACLR. Level of evidence Level III.

scholarly journals 2791. Burden of Respiratory Infections in Trainees Higher Than Healthcare Records Indicate: Results from an Anonymous Survey

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S986-S986
Author(s):  
Stephanie Richard ◽  
Patrick Danaher ◽  
Brian White ◽  
Katrin Mende ◽  
Timothy Burgess ◽  
...  
Keyword(s):  
Risk Factors ◽  
Potential Risk ◽  
Respiratory Infections ◽  
Smoking Status ◽  
Activity Level ◽  
Mitigation Strategies ◽  
Military Population ◽  
Chi Square ◽  
Potential Risk Factors ◽  
The Impact

Abstract Background Influenza-like illnesses (ILIs) are common in military populations, particularly among trainees, and can impair mission-readiness. To develop effective preventive measures against ILIs, it is vital to understand the ILI burden in the military population and identify potential risk factors for infection. Methods Anonymous ILI surveys were administered from January 2017 to March 2019 to military medical trainees living in a congregated setting on Fort Sam Houston (JBSA-FSH), TX. The surveys included questions about sociodemographic characteristics, weight, height, smoking status, activity level, as well as some basic questions about ILI and potential risk factors. Factors associated with ILI were identified using chi-square, t-tests, and multivariate models. Results 2,381 surveys were returned that included age, sex, and ILI information. Respondents were 16–54 years old, 1,301 (55%) were male, 782 (33%) were Air Force, 817 (34%) were Army, and 763 (32%) were Navy/Marines. 39% of those surveyed (929) reported having experienced an ILI during their training with 40% (370) seeking healthcare for those symptoms. The primary reasons for seeking healthcare included the severity of the illness (59%), concern about spreading the illness (50%), and the accessibility of healthcare (41%). 53% of the respondents reported that ILI had an impact on their performance, among whom 77% stated reduced study time, 66% missing physical training, and 53% missed class. The final multivariate model indicates that men and participants 30+ years old were less likely to report ILI (OR 0.69 (0.58, 0.82); OR 0.65, (0.45, 0.94)) (Figure 1). In addition, participants who reported washing their hands after they coughed or sneezed were less likely to report having had an ILI (OR 0.73 (0.61, 0.89)). Conclusion Although 39% of respondents reported having an ILI during their training, only 40% sought healthcare, indicating that ILIs are more common during training than healthcare records indicate. More information is needed regarding how training outcomes vary among those with ILI who seek care, those with ILI who do not seek care and those without ILI during training, to allow a better estimate of the impact of ILI and development of ILI mitigation strategies. Disclosures All authors: No reported disclosures.

Premature Arterial Disease Associated with Familial Antithrombin III Deficiency

1990 ◽  
Vol 63 (01) ◽  
pp. 013-015 ◽  
Author(s):  
E J Johnson ◽  
C R M Prentice ◽  
L A Parapia
Keyword(s):  
Risk Factors ◽  
Venous Thromboembolism ◽  
Potential Risk ◽  
Antithrombin Iii ◽  
Arterial Disease ◽  
Coagulation System ◽  
Early Age ◽  
Arterial Thromboembolism ◽  
Potential Risk Factors ◽  
Antithrombin Iii Deficiency

SummaryAntithrombin III (ATIII) deficiency is one of the few known abnormalities of the coagulation system known to predispose to venous thromboembolism but its relation to arterial disease is not established. We describe two related patients with this disorder, both of whom suffered arterial thrombotic events, at an early age. Both patients had other potential risk factors, though these would normally be considered unlikely to lead to such catastrophic events at such an age. Thrombosis due to ATIII deficiency is potentially preventable, and this diagnosis should be sought more frequently in patients with arterial thromboembolism, particularly if occurring at a young age. In addition, in patients with known ATIII deficiency, other risk factors for arterial disease should be eliminated, if possible. In particular, these patients should be counselled against smoking.

Perception of stroke warning signs and knowledge of potential risk factors among medical students in King Faisal University

2020 ◽  
pp. 1421-1427
Author(s):  
Sami Almalki ◽  
Faissal Habeeb ◽  
Njood Alaboud ◽  
Hassan Alhamoud ◽  
Abdullah Albeladi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Medical Students ◽  
Potential Risk ◽  
Warning Signs ◽  
Potential Risk Factors

Classification of Potential Risk Factors through HIRARC Method in Assessing Indoor Environment of Museums

2018 ◽  
Vol 10 (8) ◽  
Author(s):  
Syahrun Neizam Mohd Dzulkifli ◽  
◽  
Abd Halid Abdullah ◽  
Yee Yong Lee ◽  
Mohd Mahathir Suhaimi Shamsuri ◽  
...  
Keyword(s):  
Risk Factors ◽  
Potential Risk ◽  
Indoor Environment ◽  
Potential Risk Factors

Lack of Social Support and Social Trust as Potential Risk Factors for Dry Eye Disease: JPHC-NEXT Eye Study

2018 ◽  
Author(s):  
Chi Hoang Viet Vu ◽  
Miki Uchino ◽  
Motoko Kawashima ◽  
Akihiro Nishi ◽  
Christopher A. German ◽  
...  
Keyword(s):  
Risk Factors ◽  
Social Support ◽  
Dry Eye ◽  
Potential Risk ◽  
Social Trust ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Potential Risk Factors
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