Factors Predicting 7-Day Postoperative Complications Among Patients Undergoing Brain Tumor Surgery

Main Article Content

Khemmarat Panruy
Prangtip Chayaput
Wallada Chanruangvanich
Bunpot Sitthinamsuwan

Abstract

     This research was a descriptive and predictive correlational study with cross-sectional design. The purpose of the study was to examine the predictive powers on frailty, body mass index (BMI), duration of anesthesia, and estimated blood loss on 7-day postoperative complications in patients undergoing brain tumor surgery. The conceptual framework was Roy’s adaptation model. The sample comprised 260 patients aged 18 years and over and had brain tumor surgery at a super tertiary hospital. Data collection was performed through questionnaire on demographic characteristics, modified frailty index (Validity; rs = .65), and Clavien-Dindo classification for the severity of postoperative complications (CVI = .80, gif.latex?\alpha = .84). Data were analyzed using descriptive statistics and binary logistic regression analyses.


     The results illustrated that patients who had frailty, overweight BMI, and received more than 360 minutes of anesthesia were likely to have higher risks of postoperative complications than any other group of patients at 70.87, 2.00 and 3.59 times, respectively. Nurses, thus, should provide specific nursing care to reduce frailty and control patients’ body weight for surgical readiness as well as close monitoring for post-operative complications in patients having duration of anesthesia more than 360 minutes and promote the effective recovery adaptation to minimize postoperative complications.

Article Details

How to Cite
Panruy, K., Chayaput, P., Chanruangvanich, W., & Sitthinamsuwan, B. . (2022). Factors Predicting 7-Day Postoperative Complications Among Patients Undergoing Brain Tumor Surgery. Kuakarun Journal of Nursing, 29(1), 118–131. Retrieved from https://he01.tci-thaijo.org/index.php/kcn/article/view/255447
Section
Research Articles

References

Lapointe S, Perry A, Butowski NA. Primary brain tumours in adults. The Lancet 2018;392(10145):432-46.

Miller KD, Ostrom QT, Kruchko C, Patil N, Tihan T, Cioffi G, et al. Brain and other central nervous system tumor statistics, 2021. CA: A Cancer Journal for Clinicians 2021;71(5):381-406.

Veerasarn K, Yuthagovit S, Chailorrat A. Prevalence of brain tumor in Thailand from 2005 to 2014: data from the National Health Security Office. Journal of the Medical Association of Thailand 2016;99 Suppl 3:S62-73.

Roy SC. The Roy adaptation model. 3rd ed. Upper Saddle River, N.J: Pearson Education; 2009.

Lopes ROP, Braga DV, Castro J, Nogueira CSC, Silva R, Brandão MAG, et al. Complications in immediate postoperative recovery from elective cardiac surgery: a cross-sectional study based on Roy’s theory. Revista de Enfermagem Referencia 2019;22:23-32.

Viken HH, Iversen IA, Jakola A, Sagberg LM, Solheim O. When are complications after brain tumor surgery detected?. World Neurosurgery 2018;112:e702-10.

Senders JT, Muskens IS, Cote DJ, Goldhaber NH, Dawood HY, Gormley WB, et al. Thirty-day outcomes after craniotomy for primary malignant brain tumors: a national surgical quality improvement program analysis. Clinical Neurosurgery 2018;83(6):1249-59.

Lekan DA, Collins SK, Hayajneh AA. Definitions of frailty in qualitative research: a qualitative systematic review. Journal of Aging Research 2021;2021:6285058.

Cloney M, D'Amico R, Lebovic J, Nazarian M, Zacharia BE, Sisti MB, et al. Frailty in geriatric glioblastoma patients: a predictor of operative morbidity and outcome. World Neurosurgery 2016;89:362-7.

Castle-Kirszbaum MD, Tee JW, Chan P, Hunn MK. Obesity in neurosurgery: a narrative review of the literature. World Neurosurgery 2017;106:790-805.

Khemthong U, Chayaput P, Chanruangvanich W, Chuthapisith S. Influence of degrees of pain, type of food and oral health on post-operative oral cancer patients’ consumption of food. Thai Journal of Nursing Council 2015;30(2):60-74. (in Thai)

Cevasco M, Ashley S, Cooper Z. Physiologic response to surgery. In: McKean SC, Ross JJ, Dressler DD, Brotman DJ, Ginsberg JS, editors. Principles and practice of hospital medicine. New York: The McGraw-Hill Companies; 2012. p. 291-8.

Misal US, Joshi SA, Shaikh MM. Delayed recovery from anesthesia: a postgraduate educational review. Anesthesia: Essays and Researches 2016;10(2):164-72.

Maday KR, Hurt JB, Harrelson P, Porterfield J. Evaluating postoperative fever. Journal of the American Academy of Physician Assistants 2016;29(10):23-8.

McKenzie ME, Mastracci TM, Bhandari M, Mundi R, Rizoli SB, Nascimento BA, et al. Operative blood loss, blood transfusion and 30-day mortality in older patients after major noncardiac surgery. Canadian Journal of Surgery 2012;55(6):426-8.

Roy C, Bakan G, Li Z, Nguyen TH. Coping measurement: creating short form of coping and adaptation processing scale using item response theory and patients dealing with chronic and acute health conditions. Applied Nursing Research 2016;32:73-9.

Velanovich V, Antoine H, Swartz A, Peters D, Rubinfeld I. Accumulating deficits model of frailty and postoperative mortality and morbidity: its application to a national database. Journal of Surgical Research 2013;183(1):104-10.

Dasenbrock HH, Chavakula V, Gormley WB, Claus EB, Smith TR, Dunn IF, et al. Body habitus, serum albumin, and the outcomes after craniotomy for tumor: a national surgical quality improvement program analysis. Journal of Neurosurgery 2017;126(3):677-89.

Lemeshow S, Hosmer DW, Klar J, Lwanga SK. Adequacy of sample size in health studies. Chichester: Wiley; 1990.

Dindo D. The Clavien-Dindo classification of surgical complications. In: Cuesta MA, Bonjer HJ, editors. Treatment of postoperative complications after digestive surgery. London, United Kingdom: Springer; 2014. p. 13-7.

Rockwood K, Andrew M, Mitnitski A. A comparison of two approaches to measuring frailty in elderly people. The Journals of Gerontology: Series A 2007;62(7):738-43.

Youngerman BE, Bruce JN, Neugut AI, Hershman DL, Wright JD, Yang J. The modified frailty index and 30-day adverse events in oncologic neurosurgery. Journal of Neuro-Oncology 2018;136(1):197-206.

Gray JR, Grove SK. Understanding nursing research : building an evidence-based practice. 7th ed. St. Louis, Missouri: Elsevier Saunders; 2019.

Rattanamongkol C, Sindhu S, Toskulkao T, Iramaneerat C. Factors related to the severity of postoperative complications in patients with primary gastrointestinal (stomach, liver, bile duct, colon, and rectum) cancer. Thai Journal of Nursing Council 2016;31(3):97-109. (in Thai)

Lang LH, Parekh K, Tsui BYK, Maze M. Perioperative management of the obese surgical patient. British Medical Bulletin 2017;124(1):135-55.

Muscogiuri G, Pugliese G, Laudisio D, Castellucci B, Barrea L, Savastano S, et al. The impact of obesity on immune response to infection: plausible mechanisms and outcomes. Obesity Reviews 2021;22(6):e13216.

Golebiowski A, Drewes C, Gulati S, Jakola AS, Solheim O. Is duration of surgery a risk factor for extracranial complications and surgical site infections after intracranial tumor operations?. Acta Neurochirurgica 2015;157(2):235-40.

Rajagopalan V, Chouhan RS, Pandia MP, Lamsal R, Rath GP. Effect of intraoperative blood loss on perioperative complications and neurological outcome in adult patients undergoing elective brain tumor surgery. Journal of Neurosciences in Rural Practice 2019;10(4):631-40.

Wu WC, Trivedi A, Friedmann PD, Uttley G, Mor V, Poses RM, et al. Association between hospital intraoperative blood transfusion practices for surgical blood loss and hospital surgical mortality rates. Annals of Surgery 2012;255(4):708-14.