Prognostic performance of the Karnofsky Performance Status for predicting in-hospital mortality among unselected patients who receive palliative care consultations

Blum, Moritz; Zeng, Li; Gelfman, Laura P

doi:10.1177/02692163231220824

Cited by 1 publication

(2 citation statements)

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“…When the preoperative KPS score is ≤ 40 (indicating that patients are unable to perform activities of daily living or worse, often due to spinal lesions or comorbidities such as cerebral infarction or spinal cord injury), the prognosis is poor. A multicenter study based on data from palliative care for MM patients identified the optimal KPS threshold for predicting patient mortality to be 30 [ 19 ], which is close to the results of this study. Utilizing a nomogram to comprehensively assess whether the benefits of surgery outweigh the risks is a prerequisite for surgical intervention.…”

Section: Discussionsupporting

confidence: 84%

“…Pain severity was assessed using the visual analog scale (VAS) [ 18 ], which ranges from 0 (no pain) to 10 (unbearably severe pain), with higher scores indicating greater pain intensity. Quality of life was evaluated using the Karnofsky Performance Status (KPS) [ 19 ], which has a total score of 100 points, with higher scores indicating better health status and lower scores indicating poorer health. Patient physical status was assessed using the Eastern Cooperative Oncology Group-performance status (ECOG-PS) [ 20 ], which ranges from 0 to 5, with higher scores indicating worse physical and activity status, where 0 represents normal activity and 5 indicates death.…”

Section: Methodsmentioning

confidence: 99%

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Which factors are associated with adverse prognosis in multiple myeloma patients after surgery? - preliminary establishment and validation of the nomogram

Liu,

Xu,

et al. 2024

World J Surg Onc

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Background To investigate the prognosis of patients with Multiple Myeloma (MM) after surgery, analyze the risk factors leading to adverse postoperative outcomes, and establish a nomogram. Methods Clinical data from 154 patients with MM who underwent surgery at our institution between 2007 and 2019 were retrospectively analyzed. Assessing and comparing patients’ pain levels, quality of life, and functional status before and after surgery (P < 0.05) were considered statistically significant. The Kaplan-Meier survival curve was used to estimate the median survival time. Adverse postoperative outcomes were defined as worsened symptoms, lesion recurrence, complication grade ≥ 2, or a postoperative survival period < 1 year. Logistic regression analysis was used to determine the prognostic factors. Based on the logistic regression results, a nomogram predictive model was developed and calibrated. Results Postoperative pain was significantly alleviated in patients with MM, and there were significant improvements in the quality of life and functional status (P < 0.05). The median postoperative survival was 41 months. Forty-nine patients (31.8%) experienced adverse postoperative outcomes. Multivariate logistic regression analysis identified patient age, duration of MM, International Staging System, preoperative Karnofsky Performance Status, and Hb < 90 g/L as independent factors influencing patient prognosis. Based on these results, a nomogram was constructed, with a C-index of 0.812. The calibration curve demonstrated similarity between the predicted and actual survival curves. Decision curve analysis favored the predictive value of the model at high-risk thresholds from 10% to-69%. Conclusion This study developed a nomogram risk prediction model to assist in providing quantifiable assessment indicators for preoperative evaluation of surgical risk.

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Section: Discussionsupporting

confidence: 84%