Fifteen-week window for recurrent muscle strains in football: a prospective cohort of 3600 muscle strains over 23 years in professional Australian rules football

2020 ◽  
Vol 54 (18) ◽  
pp. 1103-1107 ◽  
Author(s):  
John W Orchard ◽  
Mohammad Chaker Jomaa ◽  
Jessica J Orchard ◽  
Katherine Rae ◽  
Daniel Tyler Hoffman ◽  
...  
Keyword(s):  
Risk Factor ◽  
Return To Play ◽  
Recent History ◽  
Hamstring Injury ◽  
Muscle Strain ◽  
Increased Risk ◽  
Australian Football ◽  
History Of ◽  
Muscle Strain Injury ◽  
Injury Recurrence

ObjectivesTo determine the rates of muscle strain injury recurrence over time after return to play in Australian football and to quantify risk factors.MethodsWe analysed Australian Football League player data from 1992 to 2014 for rates of the four major muscle strain injury types (hamstring, quadriceps, calf and groin) diagnosed by team health professionals. Covariates for analysis were: recent history (≤8 weeks) of each of the four muscle strains; non-recent history (>8 weeks) of each; history of hip, knee anterior cruciate ligament, knee cartilage, ankle sprain, concussion or lumbar injury; age; indigenous race; match level and whether a substitute rule was in place.Results3647 (1932 hamstring, 418 quadriceps, 458 calf and 839 groin) muscle strain injuries occurred in 272 759 player matches. For all muscle strains combined, the risk of injury recurrence gradually reduced, with recurrence risks of 9% (hamstring), 5% (quadriceps), 2% (calf) and 6% (groin) in the first match back and remaining elevated for 15 weeks after return to play. The strongest risk factor for each muscle injury type was a recent history of the same injury (hamstring: adjusted OR 13.1, 95% CI 11.5 to 14.9; calf OR 13.3, 95% CI 9.6 to 18.4; quadriceps: OR 25.2, 95% CI 18.8 to 33.8; groin OR 20.6, 95% CI 17.0 to 25.0), followed by non-recent history of the same injury (hamstring: adjusted OR 3.5, 95% CI 3.2 to 3.9; calf OR 4.4, 95% CI 3.6 to 5.4; quadriceps OR 5.2, 95% CI 4.2 to 6.4; groin OR 3.5, 95% CI 3.0 to 4.0). Age was an independent risk factor for calf muscle strains (adjusted OR 1.6, 95% CI 1.3 to 2.0). Recent hamstring injury increased the risk of subsequent quadriceps (adjusted OR 1.8, 95% CI 1.2 to 2.7) and calf strains (OR 1.8, 95% CI 1.2 to 2.6). During the ‘substitute rule’ era (2011–2014), hamstring (adjusted OR 0.76, 95% CI 0.67 to 0.86), groin (OR 0.78, 95% CI 0.65 to 0.93) and quadriceps (OR 0.70, 95% CI 0.53 to 0.92) strains were less likely than outside of that era but calf (OR 1.6, 95% CI 1.3 to 1.9) strains were more likely than before the substitute rule era.ConclusionRecent injury is the greatest risk factor for the four major muscle strains, with increased risk persisting for 15 weeks after return to play.

Return to Play and Recurrence After Calf Muscle Strain Injuries in Elite Australian Football Players

2020 ◽  
Vol 48 (13) ◽  
pp. 3306-3315
Author(s):  
Brady Green ◽  
Monica Lin ◽  
Jodie A. McClelland ◽  
Adam I. Semciw ◽  
Anthony G. Schache ◽  
...  
Keyword(s):  
Clinical Data ◽  
Older Age ◽  
Calf Muscle ◽  
Return To Play ◽  
Mechanism Of Injury ◽  
Muscle Strain ◽  
Mri Findings ◽  
Risk Of Recurrence ◽  
Australian Football ◽  
History Of

Background: Calf muscle strain injuries (CMSI) are prevalent in sport, but information about factors associated with time to return to play (RTP) and recurrence is limited. Purpose: To determine whether clinical and magnetic resonance imaging (MRI) data are associated with RTP and recurrence after CMSI. Study Design: Case-control study; Level of evidence, 3. Methods: Data of 149 CMSI reported to the Soft Tissue injury Registry of the Australian Football League were explored to evaluate the impact of clinical data and index injury MRI findings on RTP and recurrence. Clinical data included age, previous injury history, ethnicity, and the mechanism of injury. Results: Irrespective of the anatomical location, players with CMSI with severe aponeurotic disruption (AD) took longer to RTP than players with CMSI with no AD: 31.3 ± 12.6 days vs 19.4 ± 10.8 days (mean ± SD; P = .003). A running-related mechanism of injury was associated with a longer RTP period for CMSI overall (adjusted hazard ratio [AHR], 0.59; P = .02). The presence of AD was associated with a longer RTP period for soleus injuries (AHR, 0.6; P = .025). Early recurrence (ie, ≤2 months of the index injury) was associated with older age (AHR, 1.3; P = .001) and a history of ankle injury (AHR, 3.9; P = .032). Older age (AHR, 1.1; P = .013) and a history of CMSI (AHR, 6.7; P = .002) increased the risk of recurrence within 2 seasons. The index injury MRI findings were not associated with risk of recurrence. Conclusion: A running-related mechanism of injury and the presence of AD on MRI were associated with a longer RTP period. Clinical rather than MRI data best indicate the risk of recurrent CMSI.

Is APC Resistance a Risk Factor for Venous Thromboembolism in Patients over 70 Years?

2002 ◽  
Vol 88 (10) ◽  
pp. 587-591 ◽  
Author(s):  
Karine Lacut ◽  
Grégoire Le Gal ◽  
Patrick Van Dreden ◽  
Luc Bressollette ◽  
Pierre-Yves Scarabin ◽  
...  
Keyword(s):  
Risk Factor ◽  
Venous Thromboembolism ◽  
Odds Ratio ◽  
Dna Analysis ◽  
Activated Protein C ◽  
Factor V Leiden ◽  
Factor V ◽  
Apc Resistance ◽  
Increased Risk ◽  
History Of

SummaryActivated protein C (APC) resistance is the most common risk factor for venous thromboembolism (VTE). Previous studies mostly analysed patients under 70 years and reported a four-to sevenfold increased risk. This case-control study included consecutive patients referred for a clinical suspicion VTE to our medical unit: 621 patients with a well-documented diagnosis (cases) and 406 patients for which the diagnosis was ruled out and who had no personal history of VTE (controls). APC resistance related to factor V Leiden was defined by either a positive DNA analysis or a positive STA® Staclot APC-R assay. Under 70 years, APC resistance was associated with a threefold increased risk of VTE (odds ratio 3.2, 95% CI, 1.7 to 6.0), whereas in patients over 70 years, it appeared to be no longer a strong risk factor (odds ratio 0.8, 95% CI, 0.4 to 1.7). Age appeared as an effectmeasure modifier with a significant interaction (p = 0.005). Our data suggest that APC resistance is not a risk factor for VTE in elderly.

Which factors are predictive of return to play and re-injury following calf muscle strain injury?

2019 ◽  
Vol 22 ◽  
pp. S19
Author(s):  
B. Green ◽  
M. Lin ◽  
J. McClelland ◽  
A. Semciw ◽  
A. Schache ◽  
...  
Keyword(s):  
Calf Muscle ◽  
Return To Play ◽  
Muscle Strain ◽  
Muscle Strain Injury

Subsequent Injury Risk Is Elevated Above Baseline After Return to Play: A 5-Year Prospective Study in Elite Australian Football

2019 ◽  
Vol 47 (9) ◽  
pp. 2225-2231 ◽  
Author(s):  
Jordan J. Stares ◽  
Brian Dawson ◽  
Peter Peeling ◽  
Jarryd Heasman ◽  
Brent Rogalski ◽  
...  
Keyword(s):  
Injury Risk ◽  
The Body ◽  
Return To Play ◽  
Time Loss ◽  
Data Set ◽  
Mixed Effect ◽  
Risk Of Injury ◽  
Increased Risk ◽  
Australian Football ◽  
Subsequent Injury

Background: The risk of sustaining a subsequent injury is elevated in the weeks after return to play (RTP) from an index injury. However, little is known about the magnitude, duration, and nature by which subsequent injury risk is increased. Purpose: To quantify and describe the risk of injury in a 12-week period after RTP from an index injury in Australian football players. Study Design: Cohort study; Level of evidence, 2. Methods: Injury data were collected from 79 players over 5 years at 1 Australian Football League club. Injuries were classified with the Orchard Sports Injury Classification System and by side of the body. Furthermore, injury severity was classified as time loss (resulting in ≥1 matches being missed) or non–time loss (no matches missed). Subsequent injury was categorized with the SIC-2.0 model and applied to the data set via an automated script. The probability of a time loss subsequent injury was calculated for in-season index injuries for each week of a 12-week period after RTP via a mixed effect logistic regression model. Results: Subsequent injury risk was found to be highest in the week of RTP for both time loss injuries (9.4%) and non–time loss injuries (6.9%). Risk decreased with each week survived after RTP; however, it did not return to baseline risk of participation (3.6%). Conclusion: These findings demonstrate that athletes returning to play are at an increased risk of injury for a number of weeks, thus indicating the requirement for tertiary prevention strategies to ensure that they survive this period.

Voriconazole Exposure and The Risk Of Cutaneous Squamous Cell Carcinoma In Allogeneic Hematopoietic Stem Cell Transplant Patients

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 916-916
Author(s):  
Shahrukh K Hashmi ◽  
Daniel Wojenski ◽  
Gabriel Bartoo ◽  
Julianna A. Merten ◽  
Ross Dierkhising ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Risk Factor ◽  
Stem Cell ◽  
Cell Carcinoma ◽  
Hematopoietic Stem Cell ◽  
Squamous Cell ◽  
Hematopoietic Stem ◽  
Increased Risk ◽  
History Of ◽  
Over Time

Abstract Background Voriconazole is a common antifungal medication used in allogeneic hematopoietic stem cell transplantation (allo-HSCT) patients. In solid organ transplantation, multiple studies have associated the use of voriconazole with the development of squamous cell carcinoma (SCC) post-transplant, but its association with SCC in allo-HSCT patients is unknown. We sought to determine this association. Methods After IRB approval, Mayo Clinic’s transplant database (2007-2012) was accessed and electronic charts of allo-HSCT patients were retrospectively reviewed. Voriconazole exposure was defined as exposure to voriconazole at any time during treatment of primary disease, prior to or following HSCT. Cumulative voriconazole exposure was defined as total days of voriconazole use following HSCT; days were not required to be consecutive. Two time-dependent voriconazole exposure variables were defined: (1) history of voriconazole exposure (yes/no) over time, and (2) cumulative days on voriconazole over time. Results 404 patients underwent allo-HSCT during this timeframe, and 381 patients (table 1) were included in the final analysis. 23 patients were excluded (8 patients received multiple transplants, 9 patients were treated under pediatric protocols, 6 patients lacked research consent). 312/381 received voriconazole; other antifungal therapy included fluconazole (n=40), posaconazole (n=23), anidulafungin (n=1), and caspofungin (n=5). Median duration of cumulative days of voriconazole was 214 (range 2 -1553). SCC developed in 26/312 exposed to voriconazole and in 1/69 who received alternative antifungals. Cumulative incidence of SCC at 1 year was 3%, 2 years was 8%, 3 years was 13%, 4 years was 14%, and at 5 years was 19% (figure 1). Cumulative days of voriconazole use was found to be a risk factor for the development of SCC, and this relationship persisted in a multivariate model using previously identified risk factors (gender, age at transplant, TBI conditioning regimen, skin cancer pre-HSCT, chronic GVHD) as covariates (HR 1.859 for each 180 days of use, p<0.001). History of prior voriconazole exposure was not associated with an increased risk of SCC after covariate adjustment (HR 2.436, p=0.2369). Conclusion This is the first study to establish cumulative days of voriconazole use as a risk factor for SCC development following allo-HSCT, and may help guide appropriate antifungal prophylaxis in this patient population which is already at an increased risk of developing skin cancers. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Type II Odontoid Fractures Case Series: History of Seizures a Risk Factor for Failure of Non-operative Treatment of Type II Odontoid Fractures

2021 ◽  
Vol 11 (9) ◽  
Author(s):  
Matthew A. Prevost ◽  
John G. DeVine ◽  
Uzondu F. Agochukwu ◽  
Jacob C. Rumley
Keyword(s):  
Risk Factor ◽  
Case Series ◽  
Odontoid Fracture ◽  
Type Ii ◽  
Odontoid Fractures ◽  
Non Union ◽  
Fracture Displacement ◽  
Increased Risk ◽  
Cervical Orthosis ◽  
History Of

Introduction:Odontoid fractures are one of the most common injuries to the cervical spine. Type II odontoid fracture treatment varies depending on age, co-morbidities, and fracture morphology. Treatment ranges from cervical orthosis to surgical intervention. Currently fractures with high non-union rates are considered for operative management which includes displacement of >6 mm, increasing age (>40-60 years), fracture gap >1 mm, delay in treatment >4 days, posterior re-displacement >2 mm, increased angulation, and history of smoking. While re-displacement of >2 mm has been associated with increased risk of non-union;, to the best of our knowledge, no studies have looked at the risk factors for re-displacement. Case Report:We present two 26-year-old male patients who were found to have minimally displaced type II odontoid fractures initially treated in a cervical collar. These two patients were subsequently found to have displaced their odontoid fracture after having a documented seizure. Conclusion:We suggest that a history of seizures be considered a risk factor for re-displacement of non-displaced type II odontoid fractures. Keywords:Operative indications odontoid case report, Type II odontoid fracture, Displacement, Seizure, Odontoid fracture displacement, Nondisplaced type ? odontoid fracture.

scholarly journals Prevalence of Gestational Diabetes Mellitus and Maternal and Fetal Outcomes at the Rivers State University Teaching Hospital (RSUTH), Port Harcourt, Nigeria

2020 ◽  
pp. 1-16
Author(s):  
D. H. John ◽  
P. A. Awoyesuku ◽  
D. A. MacPepple ◽  
N. J. Kwosah
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factor ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Exposed Group ◽  
Fetal Outcomes ◽  
Previous Pregnancy ◽  
Increased Risk ◽  
History Of

Background: Gestational diabetes mellitus (GDM) is a common cause of hyperglycaemia in pregnancy accounting for about 90% of all diabetic pregnancies. Women with GDM are at increased risk of maternal and fetal morbidity and mortality which are preventable through early diagnosis and treatment. Objective: The aim was to determine the prevalence of GDM, compare the maternal and neonatal complications among GDM and non-GDM pregnant women, and the risk factors associated with GDM. Methodology: A prospective cohort study was carried out among 105 pregnant women attending the antenatal clinic of RSUTH between February and August 2017. They were interviewed using a pre-structured questionnaire that covered variables related to socio-demographic factors and family, medical, and social history. Fasting blood sugar (FBS) was done after an overnight fast. Women who had FBS less than 7 mmol/L had 75 g Oral Glucose Tolerant Test (OGTT) done. Those diagnosed with gestational diabetes mellitus were the exposed group while those negative for GDM were the non-exposed group. Both groups were followed up to delivery, and maternal and fetal outcomes were noted. Statistical analysis was carried out using SPSS version 20 and significance set at p < 0.05. Results: The prevalence of GDM was 10.5%. Positive history of GDM in previous pregnancy was the only independent risk factor (p=0.04, Adj OR: 26.89, 95% CI 2.86 to 252.61). GDM mothers had a significantly higher risk of developing pre-eclampsia (RR=7.48; 95% CI =3.36 to 16.63). Neonates of GDM mothers were at increased risk of fetal macrosomia (RR =9.00; 95% CI=1.36 to 59.4) and neonatal admissions (RR=8.00; C.I =1.19 to 53.67). Conclusion: The study revealed that the prevalence of GDM was high and that those with GDM were at increased risk of developing fetal and maternal complications. A history of GDM in previous pregnancy was an essential risk factor for subsequent GDM.

scholarly journals Use of the Robson classification to understand the increased risk of cesarean section in case of maternal obesity.

2020 ◽  
Author(s):  
Simon Crequit ◽  
Diane Korb ◽  
Cécile Morin ◽  
Thomas Schmitz ◽  
Olivier Sibony
Keyword(s):  
Body Mass Index ◽  
Risk Factor ◽  
Cesarean Section ◽  
Retrospective Cohort ◽  
Independent Risk Factor ◽  
Maternal Obesity ◽  
Normal Body Mass Index ◽  
Robson Classification ◽  
Increased Risk ◽  
History Of

Abstract Background: The aim of this study was to identify characteristics of pregnant women with obesity that contribute to increased cesarean rate.Methods: Retrospective cohort in a single academic institution between 2012 and 2019. Women who delivered during this period were classified according to the Robson classification. Women with normal body mass index (N=11797) and with obesity (N=2991) were compared. The contribution of each Robson group to the overall caesarean rate were compared.Results: The overall cesarean rate was higher for women with (28.1%) than without (14.2%, p < 0.001) obesity. This result came mainly from Robson group 5a (history of one cesarean). After adjustment for medical factors within this group, the association between maternal obesity and cesarean during labor was significant.Conclusions: The higher cesarean rate in women with obesity is explained by Robson group 5a in which obesity is an independent risk factor of in labor cesarean delivery.

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