scholarly journals Investigation of the Relationship Between Serum Creatine Kinase and Genetic Polymorphisms in Military Recruits

2012 ◽  
Vol 177 (11) ◽  
pp. 1359-1365 ◽  
Author(s):  
Mark E. Landau ◽  
Kimbra Kenney ◽  
Patricia Deuster ◽  
Rodney S. Gonzalez ◽  
Carmen Contreras-Sesvold ◽  
...  
2019 ◽  
Vol 9 (1) ◽  
pp. 81 ◽  
Author(s):  
Andy K. H. Lim ◽  
Chitherangee Arumugananthan ◽  
Corinne Lau Hing Yim ◽  
Lucy J. Jellie ◽  
Elena W. W. Wong ◽  
...  

Abnormal liver function tests are commonly observed with rhabdomyolysis, but the nature of this association is not fully defined. This study aims to determine the functional relationship between serum creatine kinase, as a marker of rhabdomyolysis severity, and liver biochemistry. We used linear regression to model the relationship between liver biochemistry and peak serum creatine kinase. A total of 528 patients with a median age of 74 years were included. The distribution of creatine kinase, bilirubin, alkaline phosphatase, alanine aminotransferase, and γ-glutamyl transferase were significantly skewed, and these variables were log-transformed prior to regression. There was a positive linear correlation between log-alanine aminotransferase and log-creatine kinase. In the multiple regression analysis, log-creatine kinase, age, acute kidney injury stage, and chronic liver disease were independently associated with log-alanine aminotransferase. This model explained 46% of the variance of log-alanine aminotransferase. We found no correlation between the log-creatine kinase and the log-bilirubin, log-alkaline phosphatase, or log-γ-glutamyl transferase. Serum alanine aminotransferase was not associated with inpatient mortality but a higher creatine kinase-alanine aminotransferase ratio was associated with lower odds of mortality. In conclusion, an isolated elevation in alanine aminotransferase can occur in rhabdomyolysis, and it may be possible to anticipate the level of increase based on the peak creatine kinase.


1995 ◽  
Vol 27 (Supplement) ◽  
pp. S155
Author(s):  
F. M. Ivey ◽  
D. M. Kleiner ◽  
M. A. Jones ◽  
D. T. Kirkendall ◽  
M. A. Ricard

Author(s):  
A. Moolchandani ◽  
M. Sareen

This study was carried out to assess the effects of draft load on serum creatine kinase and lactated ehydorgenase activities in mule. Five adult mules of 5 to 6 years of age were subjected to loading exercise (i.e. 10% draft load for 1 to 5 days and 20% draft load from 6th to 10th day). A highly significant (P<0.01) increase in serum LDH activities in response to 10% and 20% draft load exercise was observed while significant (P<0.05) increase at 10% draft load and highly significant (P<0.01) increase at 20% draft load was observed in CK activities.


2021 ◽  
pp. 194173812199938
Author(s):  
Gabor Schuth ◽  
Gyorgy Szigeti ◽  
Gergely Dobreff ◽  
Peter Revisnyei ◽  
Alija Pasic ◽  
...  

Background: Previous studies have examined the relationship between external training load and creatine kinase (CK) response after soccer matches in adults. This study aimed to build training- and match-specific CK prediction models for elite youth national team soccer players. Hypothesis: Training and match load will have different effects on the CK response of elite youth soccer players, and there will be position-specific differences in the most influential external and internal load parameters on the CK response. Study Design: Prospective cohort study. Level of Evidence: Level 4. Methods: Forty-one U16-U17 youth national team soccer players were measured over an 18-month period. Training and match load were monitored with global positioning system devices. Individual CK values were measured from whole blood every morning in training camps. The dataset consisted of 1563 data points. Clustered prediction models were used to examine the relationship between external/internal load and consecutive CK changes. Clusters were built based on the playing position and activity type. The performance of the linear regression models was described by the R2 and the root-mean-square error (RMSE, U/L for CK values). Results: The prediction models fitted similarly during games and training sessions ( R2 = 0.38-0.88 vs 0.6-0.77), but there were large differences based on playing positions. In contrast, the accuracy of the models was better during training sessions (RMSE = 81-135 vs 79-209 U/L). Position-specific differences were also found in the external and internal load parameters, which best explained the CK changes. Conclusion: The relationship between external/internal load parameters and CK changes are position specific and might depend on the type of session (training or match). Morning CK values also contributed to the next day’s CK values. Clinical Relevance: The relationship between position-specific external/internal load and CK changes can be used to individualize postmatch recovery strategies and weekly training periodization with a view to optimize match performance.


1991 ◽  
Vol 20 (6) ◽  
pp. 290-294
Author(s):  
R.E. Weller ◽  
R.L. Buschbom ◽  
S.L. Martell ◽  
J.F. Baer ◽  
C.A. Málaga ◽  
...  

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