Serum creatine phosphokinase, lactic dehydrogenase, and their isoenzymes in the perioperative period

Tabatabai, M.; Segal, Ricardo; Amidi, Morteza; Stremple, John F.; Caines, Myrven J.; Kirimli, Bülent

doi:10.1016/0952-8180(89)90027-5

Cited by 8 publications

(9 citation statements)

References 12 publications

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“…In the present study, a significant increase was observed in the serum levels of CRP (in both groups) and CA-125 (only in the SPLS group) following laparoscopic surgery. Increases in serum CPK and LDH levels subsequent to surgery may also depend on and reflect injury severity (5). However, the current study results showed no concomitant increases in the serum levels of CPK and LDH on postoperative day 4.…”

Section: Discussioncontrasting

confidence: 76%

“…One of the objective means consists of evaluating the degree of differences of surgical tissue injuries. The degree of tissue injury can be assessed by measuring the serum levels of specific proteins and enzymes associated with tissue injuries, including C-reactive protein (CRP), creatine phosphokinase (CPK), lactate dehydrogenase (LDH) and cancer antigen 125 (CA-125) (5,6). Since surgical injuries stimulate a tissue response during surgical procedures, the serum marker levels also increase in these patients (7).…”

Section: Introductionmentioning

confidence: 99%

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Tissue injuries after single-port and multiport laparoscopic gynecologic surgeries: A prospective multicenter study

Lee

Song

et al. 2016

Experimental and Therapeutic Medicine

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The present study focused on the degree of tissue injury following single-port laparoscopic surgery (SPLS) and multiport laparoscopic surgery (MPLS) for the treatment of various benign gynecologic diseases. A total of 228 patients were prospectively enrolled at seven academic centers in South Korea between April 2011 and September 2012. Of these, 122 patients underwent SPLS and 106 patients underwent MPLS. The serum levels of C-reactive protein, creatine phosphokinase, lactic dehydrogenase and cancer antigen 125 were measured preoperatively and on postoperative day 4 by immunonephelometry. Cosmetic satisfaction and postoperative pain scores (visual analogue scale) were analyzed. Postoperative changes in the levels of the serum markers were found to be similar between the SPLS and MPLS groups. However, the postoperative pain scores at 48 h were significantly lower in the SPLS group when compared with those in the MPLS (P=0.001). In addition, patient-controlled analgesia was used more frequently by patients in the MPLS group (P=0.003). The present study is the first prospective investigation of tissue injury resulting from SPLS and MPLS in gynecology. In conclusion, the current study demonstrated that serum marker levels during SPLS were similar to those during MPLS in the treatment of benign gynecologic diseases. However, SPLS is a reasonable alternative to MPLS and is associated with comparable tissue injury, improved cosmesis and reduced postoperative pain.

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Section: Discussioncontrasting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Tissue injuries after single-port and multiport laparoscopic gynecologic surgeries: A prospective multicenter study

Lee

Song

et al. 2016

Experimental and Therapeutic Medicine

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“…In studies after open abdominal or elective orthopedic surgeries, CPK elevations did not exceed 1,700 U/L. [12][13][14] Although not obvious intraoperatively, the asymptomatic hyperkalemia in our patient was an early complication of rhabdomyolysis, and is consistent with this diagnosis. 15,16 The persistent respiratory acidosis from systemic CO 2 absorption during insufflation may have contributed to a shift of intracellular potassium into the circulation.…”

Section: Discussionsupporting

confidence: 72%

Hypertensive crisis inducing rhabdomyolysis during laparoscopic resection of a large pheochromocytoma: a case report

Schumann

Joseph

Zabala

et al. 2003

Journal of Clinical Anesthesia

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“…This series of steps entailed splitting contractions into their constituent words, removing punctuation, removing numbers, converting text to lower case, removing excess spaces (in circumstances where a single space would be sufficient), and removing highly common terms (called "stop words") that would not provide considerable benefit for differentiating between the topics of interest (e.g., "for," "a," "the," "it," "that," and "to"). Details for these procedures have been described elsewhere (e.g., Lin & He, 2009;Zhao et al, 2011) and are important steps to produce interpretable topic modeling results. Following preprocessing, we created a documentterm matrix (DTM) representing the frequency of terms across each of the documents in the corpus.…”

Section: Text Preprocessingmentioning

confidence: 99%

“…LDA and similar topic modeling algorithms have been used for the purpose of quickly and accurately detecting an underlying thematic structure in text documents across a wide range of contexts. These approaches have been utilized to compare topics discussed on Twitter to those of printed news media (Zhao et al, 2011), to group medications based on topics found in the text of "warnings" printed on manufacturers' drug labels (Bisgin, Liu, Fang, Xu, & Tong, 2011), and to identify scientific articles in a large archive that are relevant to researchers' specific interests (Wang & Blei, 2011). Of greater relevance to our study, topic modeling has more recently been used to identify mental health-related content in various textbased sources.…”

Section: Topic Modelingmentioning

confidence: 99%

Using Topic Modeling to Detect and Describe Self‐Injurious and Related Content on a Large‐Scale Digital Platform

Franz

Nook

Mair

et al. 2019

Suicide & Life Threat Behav

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Objective Self‐injurious thoughts and behaviors (SITBs) are a complex and enduring public health concern. Increasingly, teenagers use digital platforms to communicate about a range of mental health topics. These discussions may provide valuable information that can lead to insights about complex issues like SITBs. However, the field of clinical psychology currently lacks an easy‐to‐implement toolkit that can quickly gather information about SITBs from online sources. In the present study, we applied topic modeling, a natural language processing technique, to identify SITBs and related themes online, and we validated this approach using human coders. Method We separately used topic modeling software and human coders to identify themes present in text from a popular online Internet support forum for teenagers. We then determined the degree to which results from the software's topic model aligned with themes identified by human coders. Results We found that topic modeling detected SITBs and related themes in online discussions in a way that accurately distinguishes between relevant and irrelevant human‐coded themes. Conclusions This approach has the potential to drastically increase our understanding of SITBs and related issues discussed on digital platforms, as well as our ability to identify those at risk for such outcomes.

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Serum creatine phosphokinase, lactic dehydrogenase, and their isoenzymes in the perioperative period

Cited by 8 publications

References 12 publications

Tissue injuries after single-port and multiport laparoscopic gynecologic surgeries: A prospective multicenter study

Tissue injuries after single-port and multiport laparoscopic gynecologic surgeries: A prospective multicenter study

Hypertensive crisis inducing rhabdomyolysis during laparoscopic resection of a large pheochromocytoma: a case report

Using Topic Modeling to Detect and Describe Self‐Injurious and Related Content on a Large‐Scale Digital Platform

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