Results 1 to 10 of about 54,674 (269)

Long-Term Recovery After Severe Sepsis: A Case Study of Rhabdomyolysis and Suspected Remifentanil Withdrawal During ICU Recovery. [PDF]

Nurs Crit Care
Su H, Xie G.
europepmc   +1 more source

The dipole moment of myoglobin [PDF]

Biochemical Journal, 1971
E H, Grant, G P, South, I O, Walker
openaire   +2 more sources

High-sensitivity Cardiac Troponin I Changes Following Subcutaneous Needle Puncture, Restraint, and Venipuncture in Cynomolgus Monkeys. [PDF]

In Vivo
Taniguchi Y, Iwakiri T, Yoshikawa T, Yamada T, Kawaguchi H.   +4 more
europepmc   +1 more source

Role of Endogenous Myoglobin in Anthracycline Response in Breast Cancer. [PDF]

Biomolecules
Rybinska I, Petry A, Hankeln T, Gorr TA, Cairo G.   +4 more
europepmc   +1 more source

Early start of hemoadsorption is associated with improved kidney recovery in ICU patients with ischemic/reperfusion cause of rhabdomyolysis. [PDF]

PLoS One
Premuzic V, Horvat A, Mogus M, Vucic I, Situm I, Tomic-Mahecic T, Colak Z, Mazar M, Baronica R, Mihaljevic S.   +9 more
europepmc   +1 more source

pH-induced changes in hydrophobicity and key amino acid exposure regulate myoglobin digestibility. [PDF]

Food Chem X
Liu H, Li Y, Shan K, Li C, Tang X.
europepmc   +1 more source

Critical care considerations in rhabdomyolysis-associated acute kidney injury and kidney replacement therapy. [PDF]

World J Nephrol
Wong FHA, See KC.
europepmc   +1 more source

Investigation of antioxidants and intrinsic factors as the cause of discoloration in vacuum-packaged beef. [PDF]

Food Sci Anim Resour
Krell J, Müller T, Schmetzer C, Poveda-Arteaga A, Weiss J, Terjung N, Gibis M.   +6 more
europepmc   +1 more source

Data Mining of the Japanese Adverse Drug Event Report Database and Animal Experiments for Assessment of Risks Associated With Pemafibrate. [PDF]

In Vivo
Kobuchi S, Nishida M, Hayakawa M, Maekawa Y, Ohata A, Chikami S, Ipponmatsu A, Ito H, Moriwaki A, Inose R, Muraki Y, Sakaeda T.   +11 more
europepmc   +1 more source

Construction and validation of explainable machine learning models to predict in-hospital mortality for patients with acute type A aortic dissection surgery. [PDF]

Front Med (Lausanne)
Liu K, Shan S, Zeng H, Li B, Zhu Z, Sun J, Wang X, Sun H, Zhu C, Liu K.   +9 more
europepmc   +1 more source