Predictive factors of postoperative physical performance impairment among patients with brain tumor surgery: A predictive-correlation study
Article Sidebar
Main Article Content
Abstract
Impaired physical performance in patients following brain tumor surgery can reflect the quality of care. For this reason, contributing factors should be identified and managed. This study aimed to investigate the predictive power of frailty, nutritional status, and surgical complexity over postoperative physical performance impairment in patients undergoing brain tumor surgery by using a cross-sectional design. The sample included 125 patients aged 18 years and over who had undergone brain tumor surgery. Data were collected using the modified frailty index, the nutrition alert form, the Milan complex scale, and the Karnofsky performance status scale to compare physical performance before and 30 days after surgery. A decrease of 10 points or on the scale indicated physical impairment. Descriptive statistics and binary logistic regression were used for data analysis. Postoperative brain tumor surgery patients who had high frailty, moderate or severe malnutritional status, and tumor removal complexity were likely to have a higher risk of impaired physical performance than other groups. Health issues such as frailty and malnourishment should be corrected in patients before surgery and preparation should be made for perioperative care in patients with surgical complexities to prevent physical impairment.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Abdelhameed, E., Abdelghany, M. S., Abdelkhalek, H., & Elatrozy, H. I. S. (2021). Awake surgery for lesions near eloquent brain under scalp block and clinical monitoring: Experience of single center with limited resources. The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 57(1), Article 78. https://doi.org/10.1186/s41983-021-00333-0
Arora, M., Sun, C.-L., Ness, K. K., Teh, J. B., Wu, J., Francisco, L., Armenian, S. H., Schad, A., Namdar, G., Bosworth, A., Kuo, L., Weisdorf, D. J., Forman, S. J., & Bhatia, S. (2016). Physiologic frailty in nonelderly hematopoietic cell transplantation patients: Results from the bone marrow transplant survivor study. JAMA Oncology, 2(10), 1277–1286. https://doi.org/10.1001/jamaoncol.2016.0855
Bernard, R. (2015). Fundamentals of biostatistics (8th ed.). Thomson learning.
Bretonnier, M., Michinov, E., Le Pabic, E., Hénaux, P. L., Jannin, P., Morandi, X., & Riffaud, L. (2020a). Impact of the complexity of surgical procedures and intraoperative interruptions on neurosurgical team workload. Neurochirurgie, 66(4), 203–211. https://doi.org/10.1016/j.neuchi.2020.02.003
Bretonnier, M., Michinov, E., Morandi, X., & Riffaud, L. (2020b). Interruptions in surgery: A comprehensive review. Journal of Surgical Research, 247, 190–196. https://doi.org/10.1016/j.jss.2019.10.024
Broggi, M., Ferroli, P., Schiavolin, S., Zattra, C., Schiariti, M., Acerbi, F., Caldiroli, D., Raggi, A., Vetrano, I., Falco, J., de Laurentis, C., & Broggi, G. (2023). Surgical complexity and complications: The need for a common language. In K. E. Turel, M. F. Chernov, & H. Sarkar (Eds.), Complications in Neurosurgery. Acta Neurochirurgica, Volume 130 (pp. 1–12). Springer. https://doi.org/10.1007/978-3-030-12887-6_1
Broggi, M., Zattra, C., & Ferroli, P. (2018). How to compare outcomes and complications in neurosurgery: We must make the mission possible! Surgical Neurology International, 9, Article 65. https://doi.org/10.4103/sni.sni_424_17
Burgos, R., Bretón, I., Cereda, E., Desport, J. C., Dziewas, R., Genton, L., Gomes, F., Jésus, P., Leischker, A., Muscaritoli, M., Poulia, K. A., Preiser, J. C., Van der Marck, M., Wirth, R., Singer, P., & Bischoff, S. C. (2018). ESPEN guideline clinical nutrition in neurology. Clinical Nutrition, 37(1), 354–396. https://doi.org/10.1016/j.clnu.2017.09.003
Chow, R., Bruera, E., Temel, J. S., Krishnan, M., Im, J., & Lock, M. (2020). Inter-rater reliability in performance status assessment among healthcare professionals: An updated systematic review and meta-analysis. Supportive Care in Cancer, 28(5), 2071–2078. https://doi.org/10.1007/s00520-019-05261-7
De Witt Hamer, P. C., Klein, M., Hervey-Jumper, S. L., Wefel, J. S., & Berger, M. S. (2021). Functional outcomes and health-related quality of life following glioma surgery. Neurosurgery, 88(4), 720–732. https://doi.org/10.1093/neuros/nyaa365
Delaire, L., Courtay, A., Humblot, J., Aubertin-Leheudre, M., Mourey, F., Racine, A. N., Gilbert, T., Niasse-Sy, Z., & Bonnefoy, M. (2023). Implementation and core components of a multimodal program including exercise and nutrition in prevention and treatment of frailty in community-dwelling older adults: A narrative review. Nutrients, 15(19), Article 4100. https://doi.org/10.3390/nu15194100
Dent, E., Hanlon, P., Sim, M., Jylhävä, J., Liu, Z., Vetrano, D. L., Stolz, E., Pérez-Zepeda, M. U., Crabtree, D. R., Nicholson, C., Job, J., Ambagtsheer, R. C., Ward, P. R., Shi, S. M., Huynh, Q., & Hoogendijk, E. O. (2023). Recent developments in frailty identification, management, risk factors and prevention: A narrative review of leading journals in geriatrics and gerontology. Ageing Research Reviews, 91, Article 102082. https://doi.org/10.1016/j.arr.2023.102082
Dziewas, R., Allescher, H.-D., Aroyo, I., Bartolome, G., Beilenhoff, U., Bohlender, J., Breitbach-Snowdon, H., Fheodoroff, K., Glahn, J., Heppner, H.-J., Hörmann, K., Ledl, C., Lücking, C., Pokieser, P., Schefold, J. C., Schröter-Morasch, H., Schweikert, K., Sparing, R., Trapl-Grundschober, M., . . . Pflug, C. (2021). Diagnosis and treatment of neurogenic dysphagia – S1 guideline of the german society of neurology. Neurological Research and Practice, 3(1), Article 23. https://doi.org/10.1186/s42466-021-00122-3
Ferroli, P., Broggi, M., Schiavolin, S., Acerbi, F., Bettamio, V., Caldiroli, D., Cusin, A., La Corte, E., Leonardi, M., Raggi, A., Schiariti, M., Visintini, S., Franzini, A., & Broggi, G. (2015). Predicting functional impairment in brain tumor surgery: The big five and the milan complexity scale. Neurosurgical Focus, 39(6), Article E14. https://doi.org/10.3171/2015.9.FOCUS15339
Ferroli, P., Vetrano, I. G., Schiavolin, S., Acerbi, F., Zattra, C. M., Schiariti, M., Leonardi, M., & Broggi, M. (2021). Brain tumor resection in elderly patients: Potential factors of postoperative worsening in a predictive outcome model. Cancers, 13(10), Article 2320. https://doi.org/10.3390/cancers13102320
Fyllingen, E. H., Bø, L. E., Reinertsen, I., Jakola, A. S., Sagberg, L. M., Berntsen, E. M., Salvesen, Ø., & Solheim, O. (2021). Survival of glioblastoma in relation to tumor location: A statistical tumor atlas of a population-based cohort. Acta Neurochir (Wien), 163(7), 1895–1905. https://doi.org/10.1007/s00701-021-04802-6
Gillis, C., & Wischmeyer, P. E. (2019). Pre-operative nutrition and the elective surgical patient: Why, how and what? Anaesthesia, 74(S1), 27–35. https://doi.org/10.1111/anae.14506
Gong, S., Qian, D., Riazi, S., Chung, F., Englesakis, M., Li, Q., Huszti, E., & Wong, J. (2023). Association between the FRAIL scale and postoperative complications in older surgical patients: A systematic review and meta-analysis. Anesthesia & Analgesia, 136(2), 251–261. https://doi.org/10.1213/ane.0000000000006272
Göras, C., Nilsson, U., Ekstedt, M., Unbeck, M., & Ehrenberg, A. (2020). Managing complexity in the operating room: A group interview study. BMC Health Services Research, 20(1), Article 440. https://doi.org/10.1186/s12913-020-05192-8
Han, B., Li, Q., & Chen, X. (2019). Effects of the frailty phenotype on post-operative complications in older surgical patients: A systematic review and meta-analysis. BMC Geriatrics, 19(1), Article 141. https://doi.org/10.1186/s12877-019-1153-8
Harland, T. A., Wang, M., Gunaydin, D., Fringuello, A., Freeman, J., Hosokawa, P. W., & Ormond, D. R. (2020). Frailty as a predictor of neurosurgical outcomes in brain tumor patients. World Neurosurgery, 133, e813–e818. https://doi.org/10.1016/j.wneu.2019.10.010
Hickey, J. V. (2019). The clinical practice of neurological and neurosurgical nursing (8th ed.). J. B. Lippincott Williams & Wilkins.
Huq, S., Khalafallah, A. M., Botros, D., Oliveira, L. A. P., White, T., Dux, H., Jimenez, A. E., & Mukherjee, D. (2021). The prognostic impact of nutritional status on postoperative outcomes in glioblastoma. World Neurosurgery, 146, e865–e875. https://doi.org/10.1016/j.wneu.2020.11.033
Javed, H., Olanrewaju, O. A., Ansah Owusu, F., Saleem, A., Pavani, P., Tariq, H., Vasquez Ortiz, B. S., Ram, R., & Varrassi, G. (2023). Challenges and solutions in postoperative complications: A narrative review in general surgery. Cureus, 15(12), Article e50942. https://doi.org/10.7759/cureus.50942
Jenkins, F. S., Vasella, F., Padevit, L., Mutschler, V., Akeret, K., Velz, J., Regli, L., Sarnthein, J., & Neidert, M. C. (2021). Preoperative risk factors associated with new focal neurological deficit and other major adverse events in first-time intracranial meningioma neurosurgery. Acta Neurochirurgica, 163(10), 2871–2879. https://doi.org/10.1007/s00701-021-04897-x
Kakar, J., Ashraf, J., Khan, A. A., Imran, M., Rehmani, M. A., Ghori, S. A., & Ali, M. F. (2020). The satisfactory surgical outcome of posterior fossa brain tumors in children at civil hospital, Karachi. Asian Journal of Neurosurgery, 15(2), 377–381. https://doi.org/10.4103/ajns.ajns_56_19
Kane, A. E., Keller, K. M., Heinze-Milne, S., Grandy, S. A., & Howlett, S. E. (2018). A murine frailty index based on clinical and laboratory measurements: Links between frailty and pro-inflammatory cytokines differ in a sex-specific manner. The Journals of Gerontology: Series A, 74(3), 275–282. https://doi.org/10.1093/gerona/gly117
Karnofsky, D. A., Abelmann, W. H., Craver, L. F., & Burchenal, J. H. (1948). The use of the nitrogen mustards in the palliative treatment of carcinoma. With particular reference to bronchogenic carcinoma. Cancer, 1(4), 634–656. https://doi.org/10.1002/1097-0142(194811)1:4%3C634::AID-CNCR2820010410%3E3.0.CO;2-L
Komindrg, S., Tangsermwong, T., & Janepanish, P. (2013). Simplified malnutrition tool for Thai patients. Asia Pacific Journal of Clinical Nutrition, 22(4), 516–521. https://doi.org/10.6133/apjcn.2013.22.4.06
Krajewski, S., Furtak, J., Zawadka-Kunikowska, M., Kachelski, M., Soboń, J., & Harat, M. (2023). Functional state and rehabilitation of patients after primary brain tumor surgery for malignant and nonmalignant tumors: A prospective observational study. Current Oncology, 30(5), 5182–5194. https://doi.org/10.3390/curroncol30050393
Kulikov, A., Gruenbaum, S. E., Quinones-Hinojosa, A., Pugnaloni, P. P., Lubnin, A., & Bilotta, F. (2024). Preoperative risk assessment before elective craniotomy: Are aspirin, arrhythmias, deep venous thromboses, and hyperglycemia contraindications to surgery? World Neurosurgery, 186, 68–77. https://doi.org/10.1016/j.wneu.2024.03.018
Lambrechts, M. J., Tran, K., Conaway, W., Karamian, B. A., Goswami, K., Li, S., O'Connor, P., Brush, P., Canseco, J., Kaye, I. D., Woods, B., Hilibrand, A., Schroeder, G., Vaccaro, A., & Kepler, C. (2023). Modified frailty index as a predictor of postoperative complications and patient-reported outcomes after posterior cervical decompression and fusion. Asian Spine Journal, 17(2), 313–321. https://doi.org/10.31616/asj.2022.0262
Lapointe, S., Perry, A., & Butowski, N. A. (2018). Primary brain tumours in adults. Lancet, 392(10145), 432–446. https://doi.org/10.1016/s0140-6736(18)30990-5
Lekan, D. A., Collins, S. K., & Hayajneh, A. A. (2021). Definitions of frailty in qualitative research: A qualitative systematic review. Journal of Aging Research, 2021(1), Article 6285058. https://doi.org/10.1155/2021/6285058
Loecker, C., Schmaderer, M., & Zimmerman, L. (2021). Frailty in young and middle-aged adults: An integrative review. The Journal of Frailty & Aging, 10(4), 327–333. https://doi.org/10.14283/jfa.2021.14
Matthews, L. S., Wootton, S. A., Davies, S. J., & Levett, D. Z. H. (2021). Screening, assessment and management of perioperative malnutrition: A survey of UK practice. Perioperative Medicine, 10(1), Article 30. https://doi.org/10.1186/s13741-021-00196-2
Ogiwara, T., Nitta, J., Fujii, Y., Watanabe, G., Kuwabara, H., Agata, M., Kobayashi, H., Miyaoka, Y., Kitamura, S., Hanaoka, Y., Goto, T., Iwaya, M., Hongo, K., & Horiuchi, T. (2022). A preliminary study of the diagnostic efficacy and safety of the novel boring biopsy for brain lesions. Scientific Reports, 12(1), Article 4387. https://doi.org/10.1038/s41598-022-08366-y
Ostrom, Q. T., Price, M., Neff, C., Cioffi, G., Waite, K. A., Kruchko, C., & Barnholtz-Sloan, J. S. (2023). CBTRUS statistical report: Primary brain and other central nervous system tumors diagnosed in the United States in 2016–2020. Neuro-Oncology, 25(12 Suppl 4), iv1-iv99. https://doi.org/10.1093/neuonc/noad149
Palmieri, A., Valentinis, L., & Zanchin, G. (2021). Update on headache and brain tumors. Cephalalgia, 41(4), 431–437. https://doi.org/10.1177/0333102420974351
Panruy, K., & Kwangtong N. (2024). Assessment and nursing care for patients with surgical frailty. Journal of Health and Nursing Research, 40(3), 223–236.
Schepers, V. P. M., van der Vossen, S., Berkelbach van der Sprenkel, J. W., Visser-Meily, J. M. A., & Post, M. W. M. (2018). Participation restrictions in patients after surgery for cerebral meningioma. Journal of Rehabilitation Medicine, 50(10), 879–885. https://doi.org/10.2340/16501977-2382
Skořepa, P., Ford, K. L., Alsuwaylihi, A., O’Connor, D., Prado, C. M., Gomez, D., & Lobo, D. N. (2024). The impact of prehabilitation on outcomes in frail and high-risk patients undergoing major abdominal surgery: A systematic review and meta-analysis. Clinical Nutrition, 43(3), 629–648. https://doi.org/10.1016/j.clnu.2024.01.020
Staartjes, V. E., Broggi, M., Zattra, C. M., Vasella, F., Velz, J., Schiavolin, S., Serra, C., Bartek, J., Fletcher-Sandersjöö, A., Förander, P., Kalasauskas, D., Renovanz, M., Ringel, F., Brawanski, K. R., Kerschbaumer, J., Freyschlag, C. F., Jakola, A. S., Sjåvik, K., Solheim, O., . . . Stienen, M. N. (2020). Development and external validation of a clinical prediction model for functional impairment after intracranial tumor surgery. Journal of Neurosurgery, 134(6), 1743–1750. https://doi.org/10.3171/2020.4.JNS20643
Youngerman, B. E., Neugut, A. I., Yang, J., Hershman, D. L., Wright, J. D., & Bruce, J. N. (2018). The modified frailty index and 30-day adverse events in oncologic neurosurgery. Journal of Neuro-Oncology, 136(1), 197–206. https://doi.org/10.1007/s11060-017-2644-0
Zhang, M., Hayden Gephart, M., & Zygourakis, C. C. (2020). Commentary: Predicting postoperative outcomes in brain tumor patients with a 5-factor modified frailty index. Neurosurgery, 88(1), E36–E38. https://doi.org/10.1093/neuros/nyaa407
Zhu, J., Qiu, X., Ji, C., Wang, F., Tao, A., & Chen, L. (2023). Frailty as a predictor of neurosurgical outcomes in brain tumor patients: A systematic review and meta-analysis. Frontiers in Psychiatry, 14, Article 1126123. https://doi.org/10.3389/fpsyt.2023.1126123
