| Literature DB >> 30997396 |
Jiancun Wang1, Guancheng Hu1, Xingyun Quan1.
Abstract
This retrospective study was carried out to investigate factors affecting the prognosis of gliomas for better management of treatment. Clinical data from 186 glioma patients treated in our hospital from January 2013 to June 2016 were analyzed. There was slightly more male than female patients in the cohort. The main clinical symptoms included sudden limb twitching, headache and fatigue, vomiting, vision reduction and speaking disorders. The malignancy was high and the prognosis was poor in the patients, with an overall survival rate of 54.84 % by October 2017. Univariate analysis showed that the prognosis was mainly affected by age, tumor grade, preoperative Karnofsky performance status (KPS), surgical method, postoperative radiotherapy and chemotherapy, and postoperative use of temozolomide (TMZ). Multivariate Cox regression analysis showed that the independent risk factors for the prognosis were old age (≥ 60), advanced tumor, partial tumor resection, KPS of < 70, no chemotherapy after operation and < 4 courses of postoperative TMZ. The prognosis is negatively affected by age, tumor grade, KPS, and partial tumor resection. Surgical resection combined with chemotherapy and multi-course use of TMZ prolongs the survival time of patients.Entities:
Keywords: Factor analysis; Glioma; Malignancy; Prognosis
Year: 2019 PMID: 30997396 PMCID: PMC6463817 DOI: 10.1515/med-2019-0031
Source DB: PubMed Journal: Open Med (Wars)
Univariate analysis of prognostic factors in 186 glioma patients
| Clinical factor | Number of case | Survival (n/%) | Difference in survival | Χ2 | P | |
|---|---|---|---|---|---|---|
| Gender | 6.28 | 0.875 | 1.232 | |||
| Male | 118 | 62 (52.54) | ||||
| Female | 68 | 40 (58.82) | ||||
| Age (year) | 21.53 | 5.271 | 0.021 | |||
| <60 | 42 | 30 (71.53) | ||||
| >= 60 | 144 | 72 (50.00) | ||||
| Tumor diameter (cm) | 0.88 | 0.315 | 0.575 | |||
| < 5 | 70 | 38 (54.29) | ||||
| >= 5 | 116 | 64 (55.17) | ||||
| Tumor grade | 8.63 | 5.941 | 0.015 | |||
| I-II | 46 | 25 (54.34) | ||||
| III-IV | 140 | 64 (45.71) | ||||
| KPS | 17.77 | 14.150 | < 0.001 | |||
| >= 70 | 146 | 88 (60.27) | ||||
| < 70 | 40 | 17 (42.50) | ||||
| Surgical method | 17.39 | 5.102 | 0.036 | |||
| Complete resection | 134 | 80 (59.70) | ||||
| Partial resection | 52 | 22 (42.31) | ||||
| Radiotherapy | 19.00 | 3.941 | 0.011 | |||
| Yes | 86 | 43 (50.0) | ||||
| No | 100 | 31 (31.0) | ||||
| Chemotherapy | 21.62 | 2.414 | 0.022 | |||
| Yes | 144 | 86 (59.72) | ||||
| No | 42 | 16 (38.10) | ||||
| Course of TMZ | 46.21 | 5.301 | 0.012 | |||
| < 4 | 42 | 16 (38.10) | ||||
| >= 4 | 102 | 86 (84.31) |
Multivariate analysis of prognostic factors in 186 glioma patients
| Independent variable | Regression coefficient | Standard error | Wald χ2 | p | RR(95% CI) |
|---|---|---|---|---|---|
| Age (>=60 years) | 1.467 | 0. 745 | 6.755 | 0.002 | 4.336 (1. 006, 18.675) |
| Advanced tumor | 1.746 | 0.535 | 5.701 | 0.028 | 5.731 (2. 008, 16.356) |
| PKS < 70 | 1.121 | 0.295 | 20.111 | 0.011 | 3.547 (1. 983, 9.182) |
| Partial resection | 1.833 | 0.421 | 9.223 | 0.012 | 5.731 (2. 008, 16.356) |
| No radiotherapy | 1.122 | 0.045 | 10.211 | 0.013 | 4.542 (2. 013, 14.128) |
| No chemotherapy | 1.436 | 0.021 | 23.291 | 0.014 | 5.512 (2. 883, 16.178) |
| TMZ < 4 courses | 1.124 | 0.323 | 10.213 | 0.001 | 3.642 (1. 016, 8.128) |