The American College of Surgeon's surgical risk calculator's ability to predict disposition in older gynecologic oncology patients undergoing laparotomy

被引:9
|
作者
Shaker, Salma [1 ]
Rivard, Colleen [1 ]
Nahum, Rebi [1 ]
Vogel, Rachel I. [1 ]
Teoh, Deanna [1 ]
机构
[1] Univ Minnesota, Dept Obstet Gynecol & Womens Hlth, Minneapolis, MN USA
基金
美国国家卫生研究院;
关键词
Gynecologic oncology; Laparotomy; NSQIP; Older patient; Post-acute care; Surgical risk calculator; Discharge planning; NEOADJUVANT CHEMOTHERAPY; DISCHARGE; MORTALITY; OUTCOMES; AGE;
D O I
10.1016/j.jgo.2019.02.008
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objectives: The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) surgical risk calculator calculates risk of postoperative complications utilizing clinically apparent preoperative variables. If validated for patients with gynecologic cancers, this can be an effective tool in to use for shared decision-making, especially in the older (70+ years of age) patient population for whom surgical risks and potential loss of independence is increased. The primary objective of this study was to evaluate the ability of the ACS NSQIP surgical risk calculator to predict discharge to a post-acute care among older (age 70+ years) gynecologic oncology patients undergoing laparotomy. The secondary objectives were to assess its ability to predict postoperative complications and death. Methods: This was a retrospective cohort study of gynecologic oncology patients 70+ years of age undergoing laparotomy. Surgical procedures, 21 preoperative variables, postoperative complications, and patient disposition were abstracted from the medical record. Risk scores for seven postoperative complications and discharge to post-acute care were calculated. The association between risk scores and outcomes were assessed using logistic regression and predictive ability was evaluated using the c-statistic and Brier score. Results: 204 surgeries were performed on 200 patients between January 1, 2009 and December 31, 2013. The mean age was 76.3 +/- 5.1 years; 87% were independent at baseline. A total of 79 (41%) were discharged to post-acute care. The calculator's ability to predict discharge to post-acute care was reasonable (c- statistic = 0.708, Brier = 0.205). Although the calculator did not accurately predict all postoperative complications, the calculator's ability to predict death was strong (c-statistic = 0.811, Brier = 0.015). Conclusion: For older patients with an elevated calculated risk of discharge to post acute care the possibility of discharge to post-acute care should be discussed preoperatively. For patients with a higher risk of death, nonsurgical management options should be considered when available. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:618 / 622
页数:5
相关论文
共 50 条
  • [1] THE AMERICAN COLLEGE OF SURGEONS SURGICAL RISK CALCULATOR PREDICTS DISCHARGE TO TRANSITIONAL CARE UNIT IN OLDER GYNECOLOGIC ONCOLOGY PATIENTS UNDERGOING LAPAROTOMY
    Shaker, S.
    Rivard, C.
    Nahum, R.
    Vogel, R. Isaksson
    Teoh, D.
    INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER, 2016, 26 : 933 - 933
  • [2] Evaluation of the NSQIP surgical risk calculator to predict complications in gynecologic oncology patients undergoing laparotomy
    Rivard, C.
    Slagle, E.
    Nahum, R.
    Vogel, R. Isaksson
    Teoh, D. G. K.
    GYNECOLOGIC ONCOLOGY, 2015, 137 : 56 - 57
  • [3] Evaluation of the NSQIP Surgical Risk Calculator to Predict Complications in Gynecologic Oncology Patients Undergoing Laparotomy
    Rivard, Colleen L.
    Slagle, Elizabeth A.
    Nahum, Rebecca
    Vogel, Rachel Isaksson
    Teoh, Deanna
    JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2015, 221 (04) : S98 - S98
  • [4] Evaluation of the performance of the ACS NSQIP surgical risk calculator in gynecologic oncology patients undergoing laparotomy
    Rivard, Colleen
    Nahum, Rebi
    Slagle, Elizabeth
    Duininck, Megan
    Vogel, Rachel Isaksson
    Teoh, Deanna
    GYNECOLOGIC ONCOLOGY, 2016, 141 (02) : 281 - 286
  • [5] Evaluation of the American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator in Gynecologic Oncology Patients Undergoing Minimally Invasive Surgery
    Teoh, Deanna
    Halloway, Rebi Nahum
    Heim, Jennifer
    Vogel, Rachel Isaksson
    Rivard, Colleen
    JOURNAL OF MINIMALLY INVASIVE GYNECOLOGY, 2017, 24 (01) : 48 - 54
  • [6] The American College of Surgeons NSQIP Surgical Risk Calculator Does Not Accurately Predict Complications in Surgical Oncology Patients
    Nguyen, A. H.
    Chen, C.
    Seth, N.
    McNeese, K.
    Munu, J.
    Abila, M.
    Blakely, A. M.
    Eftekhari, Z.
    Lai, L.
    ANNALS OF SURGICAL ONCOLOGY, 2020, 27 (SUPPL 1) : S179 - S179
  • [7] Enhancing the American College of Surgeons NSQIP Surgical Risk Calculator to Predict Geriatric Outcomes
    Hornor, Melissa A.
    Ma, Meixi
    Zhou, Lynn
    Cohen, Mark E.
    Rosenthal, Ronnie A.
    Russell, Marcia M.
    Ko, Clifford Y.
    JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2020, 230 (01) : 88 - +
  • [8] Evaluation of the american college of surgeons national surgical quality improvement program risk calculator to predict outcomes for hysterectomies performed by gynecologic surgeons
    Hamade, S.
    Shobeiri, S. A.
    McLeod, F.
    Alshiek, J.
    Javadian, P.
    Ahmad, S.
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2021, 224 (06) : S752 - S752
  • [9] The American College of Surgeon National Surgical Quality Improvement Program risk calculator does not predict individual outcomes in an elderly Italian population
    Siboni, Stefano
    Fusella, Pietro
    Milito, Pamela
    DE Maron, Roberta
    Senzani, Francesca
    Meloni, Alessandro
    Cuppone, Maria T.
    Bernardi, Daniele
    Sozzi, Marco
    Asti, Emanuele L.
    MINERVA SURGERY, 2025,
  • [10] External Validation of the American College of Surgeons Surgical Risk Calculator in Elderly Patients Undergoing General Surgery Operations
    Kokkinakis, Stamatios
    Andreou, Alexandros
    Venianaki, Maria
    Chatzinikolaou, Charito
    Chrysos, Emmanuel
    Lasithiotakis, Konstantinos
    JOURNAL OF CLINICAL MEDICINE, 2022, 11 (23)