Using Admission Karnofsky Performance Status as a Guide for Palliative Care Discharge Needs

Mehta, Ankita; Chai, Emily; Berglund, Keisha; Rizzo, Elizabeth; Moreno, Jaison; Gelfman, Laura P.

doi:10.1089/jpm.2020.0543

Cited by 12 publications

(9 citation statements)

References 13 publications

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“…The patients were allowed to mark their pain scores varying from 0–10 (0 indicated painless, 1–3 mild pain, 4–6 moderate pain, and 7–10 severe pain). Performance status was defined using Karnofsky Performance Status (KPS) score, 43 which was an eleven point scale suggesting the correlation with the percentage score ranging from 0 to 100 (indicating normal, no signs, or symptoms to death). The higher score signified less physical impairment.…”

Section: Methodsmentioning

confidence: 99%

Death anxiety and its relationship with family function and meaning in life in patients with advanced cancer—A cross-sectional survey in China

Liu

et al. 2022

Asia-Pacific Journal of Oncology Nursing

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Section: Methodsmentioning

confidence: 99%

Death anxiety and its relationship with family function and meaning in life in patients with advanced cancer—A cross-sectional survey in China

Liu

et al. 2022

Asia-Pacific Journal of Oncology Nursing

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“…All patients were diagnosed by nasopharyngeal biopsy, and the pathological types were undifferentiated nonkeratinizing carcinoma. Inclusion criteria were set as follows: (1) The age of the patients was more than 18 years old; (2) the Karnofsky score [ 10 ] of the physical condition before treatment was ≥ 70 points; (3) the blood routine, liver and kidney function, and other indicators were normal before treatment, and there was no contraindication of radiotherapy and chemotherapy; (4) the informed consent for radiotherapy/chemotherapy was signed before treatment; and (5) the radiotherapy/chemotherapy treatment was successfully completed. The exclusion criteria were defined as follows: (1) the patients had a history of head and neck radiotherapy and surgery; (2) the patients suffered from cardiovascular and cerebrovascular diseases, diabetes, and other basic diseases, and could not receive treatment; (3) the patients failed to successfully complete radiotherapy and chemotherapy; and (4) The collected data were incomplete.…”

Section: Methodsmentioning

confidence: 99%

[Retracted] Prediction of Changes in Tumor Regression during Radiotherapy for Nasopharyngeal Carcinoma by Using the Computed Tomography‐Based Radiomics

Yang

Mai

et al. 2022

Contrast Media & Molecular Imaging

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This work aimed to explore the application value of computed tomography (CT)-based radiomics in predicting changes in tumor regression during radiotherapy for nasopharyngeal carcinoma. In this work, 144 patients with nasopharyngeal carcinoma who underwent concurrent chemoradiotherapy (CCRT) in our hospital from January 2015 to December 2021 were selected. The patients were divided into a radiosensitive group (79 cases) and an insensitive group (65 cases) according to the tumor volume shrinkage during radiotherapy. The 3D Slicer 4.10.2 software was used to delineate the tumor region of interest (ROI), and a total of 1223 radiomics features were extracted using the radiomics module under the software. After between-group and within-group consistency tests, one-way ANOVA, and LASSO dimensionality reduction, three omics features were finally selected for the establishment of predictive models. At the same time, the age, gender, tumor T stage and N stage, hemoglobin, and albumin of the patients were collected to establish a clinical prediction model. The results showed that compared with logistic regression, decision tree, random forest, and AdaBoost models, the SVM model based on CT radiomics features had the best performance in predicting tumor regression changes during tumor radiotherapy (training group area under the receiver operating characteristic curve (AUC): 0.840 (95% confidence interval (CI): 0.764–0.916); validation group: AUC: 0.810 (95% CI: 0.676–0.944)). Compared with the supported vector machine (SVM) prediction model based on clinical features, the SVM model based on radiomics features had better performance in predicting the change of retraction during tumor radiotherapy (training group: omics feature SVM model AUC: 0.84, clinical feature SVM model: 0.78; validation group: omics feature SVM model AUC: 0.8, clinical feature SVM model: 0.58, P = 0.044). Based on the radiomics characteristics and clinical characteristics of patients, a nomo prediction map was established, and the calibration curve shows good consistency, which can be visualized to assist clinical judgment. In this work, the prediction model composed of CT-based radiomic features combined with clinical features can accurately predict withdrawal changes during tumor radiotherapy, ensuring the accuracy of treatment planning, and minimizing the number of CT scans during radiotherapy.

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“…Karnofsky's score is mainly used to evaluate the general health status and quality of life before the treatment is applied in patients with malignancy. [9][10][11][12][13] It is used to predict the clinical status of patients before and after treatment, according to the side-effect profile of the treatment to be applied according to this scale. 7,10,11 Patients with CSDH are mainly in the older age group and their general health status and quality of life are lower than in younger cases.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Karnofsky Performance Scale as a Postsurgical Prognosis Criteria in Chronic Subdural Hematoma Cases: Discordance Between Clinical and Radiological Outcomes

Asan

Eroğlu

Koysuren

et al. 2023

Int Clin Neurosci J

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Background: Chronic subdural hematoma (CSDH) may cause neurological deficits as well as adverse effects on the patient’s general health status. Although CSDH cases are diagnosed in the advanced age group with a very high rate, clinical findings may not be related only to CSDH. The aim should be related to clinical recovery rather than radiological recovery for these cases. We aimed to evaluate Karnofsky’s score as a measurement criterion of postoperative clinical outcomes in patients with CSDH. Methods: Cases operated for the diagnosis of CSDH were defined retrospectively. The cases that had been operated with this diagnosis were identified by examining the institution database records. Karnofsky scores equivalent to clinical status were performed by examining patient files. Karnofsky scoring before the symptomatic period was determined and compared with the Karnofsky score belonging to the late postoperative period. The clinical and radiological findings of the preoperative and postoperative periods were compared. Independent samples t test was used to reveal the difference between the two groups. Results: Data of 184 cases were evaluated. Seventy-three cases were operated on the left, 51 cases on the right, and 60 cases bilaterally with the diagnosis of CSDH. Burrhole exploration was performed in 119 cases, and a craniotomy was performed in 65 cases. Although a significant decrease in hematoma thickness was detected radiologically in cases operated with the craniotomy method, a more significant improvement was observed in Karnofsky’s score in cases operated with the burrhole method. In younger patients, improvement in Karnofsky’s score was significantly higher. Conclusion: The main aim should be to improve clinical status rather than radiological improvement in the treatment of CSDH cases. In the surgical treatment of these cases, it is possible to encounter a high rate of complications depending on age. It is possible to evaluate the postoperative status rationally with Karnofsky scoring. According to the preoperative Karnofsky scoring, deciding on the surgical technique may help reduce complications.

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Using Admission Karnofsky Performance Status as a Guide for Palliative Care Discharge Needs

Cited by 12 publications

References 13 publications

Death anxiety and its relationship with family function and meaning in life in patients with advanced cancer—A cross-sectional survey in China

Death anxiety and its relationship with family function and meaning in life in patients with advanced cancer—A cross-sectional survey in China

[Retracted] Prediction of Changes in Tumor Regression during Radiotherapy for Nasopharyngeal Carcinoma by Using the Computed Tomography‐Based Radiomics

Evaluation of Karnofsky Performance Scale as a Postsurgical Prognosis Criteria in Chronic Subdural Hematoma Cases: Discordance Between Clinical and Radiological Outcomes

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