Literature DB >> 34610762

Glycemic Variability Within 1 Year Following Surgery for Stage II-III Colon Cancer.

Natalie Rasmussen Mandolfo1, Ann M Berger1, Leeza Struwe1, Kathleen M Hanna1, Whitney Goldner2, Kelsey Klute3, Sean Langenfeld4, Marilyn Hammer5.   

Abstract

OBJECTIVE: To examine glycemic variability within 1 month and 1 year following surgery among adult patients, with and without Type 2 Diabetes (T2D), treated for stage II-III colon cancer.
METHOD: A retrospective analysis of electronic health record data was conducted. Glycemic variability (i.e., standard deviation [SD] and coefficient of variation [CV] of > 2 blood glucose measures) was assessed within 1 month and within 1 year following colon surgery. Chi-square (χ2), Fisher's exact, and Mann-Whitney U tests were used for the analyses.
RESULTS: Among the sample of 165 patients with stage II-III colon cancer, those with T2D had higher glycemic variability compared to patients without T2D (p < .001), with values within 1 month following surgery (SD = 44.69 mg/dL, CV = 27.4%) vs (SD = 20.55 mg/dL, CV = 17.53%); and within 1 year following surgery (SD = 45.04 mg/dL, CV = 29.04%) vs (SD = 21.36 mg/dL, CV = 18.6%). Associations were found between lower body mass index and higher glycemic variability (i.e., SD [r = -.413, p < .05] and CV [r = -.481, p < .01]) within 1 month following surgery in patients with T2D. Higher preoperative glucose was associated with higher glycemic variability (i.e., SD r = .448, p < .01) within 1 year in patients with T2D. Demographic and clinical characteristics were weakly associated with glycemic variability in patients without T2D.
CONCLUSIONS: Patients with stage II-III colon cancer with T2D experienced higher glycemic variability within 1 month and within 1 year following surgery compared to those without T2D. Associations between glycemic variability and demographic and clinical characteristics differed by T2D status. Further research in prospective studies is warranted.

Entities:  

Keywords:  colon cancer; diabetes; glucose; glycemic variability; surgery; treatment

Mesh:

Substances:

Year:  2021        PMID: 34610762      PMCID: PMC9248290          DOI: 10.1177/10998004211035184

Source DB:  PubMed          Journal:  Biol Res Nurs        ISSN: 1099-8004            Impact factor:   2.318


  34 in total

1.  Impact of glycemic variability and hypoglycemia on adverse hospital outcomes in non-critically ill patients.

Authors:  Yoojin Kim; Kumar B Rajan; Shannon A Sims; Kristen E Wroblewski; Sirimon Reutrakul
Journal:  Diabetes Res Clin Pract       Date:  2014-01-03       Impact factor: 5.602

2.  Glycemic variability and mortality in patients hospitalized in general surgery wards.

Authors:  Amit Akirov; Tzipora Shochat; Idit Dotan; Talia Diker-Cohen; Alexander Gorshtein; Ilan Shimon
Journal:  Surgery       Date:  2019-04-09       Impact factor: 3.982

3.  Association between glycemic control, age, and outcomes among intensively treated patients with acute myeloid leukemia.

Authors:  Patrick Kuhlman; Scott Isom; Timothy S Pardee; Cynthia Burns; Bernard Tawfik; Zanetta S Lamar; Bayard L Powell; Heidi D Klepin
Journal:  Support Care Cancer       Date:  2018-12-15       Impact factor: 3.603

4.  Association between glycemic variability and major adverse cardiovascular and cerebrovascular events (MACCE) in patients with acute coronary syndrome during 30-day follow-up.

Authors:  Jinggang Xia; Ji Xu; Boyu Li; Zhi Liu; Hengjian Hao; Chunlin Yin; Dong Xu
Journal:  Clin Chim Acta       Date:  2017-01-19       Impact factor: 3.786

Review 5.  The application of simple metrics in the assessment of glycaemic variability.

Authors:  L Monnier; C Colette; D R Owens
Journal:  Diabetes Metab       Date:  2018-03-06       Impact factor: 6.041

6.  Skipping breakfast is associated with glycemic variability in patients with type 2 diabetes.

Authors:  Yoshitaka Hashimoto; Ayumi Kaji; Ryosuke Sakai; Takafumi Osaka; Emi Ushigome; Masahide Hamaguchi; Masahiro Yamazaki; Michiaki Fukui
Journal:  Nutrition       Date:  2019-11-09       Impact factor: 4.008

7.  Association of lower body mass index with increased glycemic variability in patients with newly diagnosed type 2 diabetes: a cross-sectional study in China.

Authors:  Jian Wang; Rengna Yan; Juan Wen; Xiaocen Kong; Huiqin Li; Peihua Zhou; Honghong Zhu; Xiaofei Su; Jianhua Ma
Journal:  Oncotarget       Date:  2017-04-14

Review 8.  Interpretation of hemoglobin A1C in primary care setting.

Authors:  Beenish Fayyaz; Hafiz J Rehman; Hmu Minn
Journal:  J Community Hosp Intern Med Perspect       Date:  2019-02-11

9.  The association of Metabolic Syndrome and its Components with the Incidence and Survival of Colorectal Cancer: A Systematic Review and Meta-analysis.

Authors:  Fei Han; Guanghai Wu; Shuai Zhang; Judong Zhang; Yongjie Zhao; Jing Xu
Journal:  Int J Biol Sci       Date:  2021-01-01       Impact factor: 6.580

Review 10.  Long-term Glycemic Variability and Risk of Adverse Outcomes: A Systematic Review and Meta-analysis.

Authors:  Catherine Gorst; Chun Shing Kwok; Saadia Aslam; Iain Buchan; Evangelos Kontopantelis; Phyo K Myint; Grant Heatlie; Yoon Loke; Martin K Rutter; Mamas A Mamas
Journal:  Diabetes Care       Date:  2015-12       Impact factor: 19.112

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