White Blood Cell Count Predicts Mortality in Patients with Spontaneous Intracerebral Hemorrhage

He, Jialing; Cheng, Xin; Li, Tiangui; Xiao, Yangchun; Peng, Liyuan; Yang, Feng; He, Jieyu; Hao, Pengfei; Deng, Haidong; Wang, Peng; Chong, Weelic; Hai, Yang; Chen, Lvlin; You, Chao; Lu, Jia; Fang, Fang

doi:10.1007/s12028-023-01716-2

Cited by 5 publications

(2 citation statements)

References 34 publications

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“…These acute infections can also lead to an elevation in WBC count. Prior research suggested a significant association between elevated inflammatory markers and hematoma growth (Di Napoli et al, 2014;Morotti et al, 2016), as well as a higher incidence of unfavorable clinical outcomes (He et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

Age-related differences in risk factors, clinical characteristics, and outcomes for intracerebral hemorrhage

Chen,

Xie,

et al. 2023

Front. Aging Neurosci.

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Background and purposeIntracerebral hemorrhage (ICH) is a severe form of stroke that remains understudied in the young adults. We aimed to investigate the clinical presentation, and risk factors associated with ICH in this age group and compare them to older patients.MethodsOur study included ICH patients admitted between March 2016 and December 2021 in the First Affiliated Hospital of Chongqing Medical University from our ongoing prospective cohort database. Demographic characteristics, etiology, risk factors, and clinical outcomes were compared between elderly and young patients. Furthermore, logistic regression analysis was employed to explore risk factors associated with the functional outcome at 3-months.ResultsWe selected 1,003 patients (mean age, 59.9 ±13.8 years old), 746 (74.4%) patients were aged >50 years. The logistic regression analysis showed young patients have a higher proportion of secondary ICH, higher white blood cell count and higher body mass index (BMI), but less diabetes mellitus. Of all patients, predictors of 3-month functional independence was first-ever ICH and age ≤50 years. The history of nephropathy and stroke, higher baseline NIHSS score, larger hematoma volume, and the presence of hydrocephalus were associated with poor outcomes. And the white blood cell count could significantly influence the prognosis among young ICH patients. Three-month functional outcome based on modified Rankin scale score was better in young patients than the elderly (OR, 1.232; 95% CI, 1.095–1.388; p < 0.001).ConclusionsThe highest incidence of ICH occurs in the age groups of 50–59 and 60–69. ICH in young adults had higher white blood cell and BMI compared to the elderly, and differs in etiological distribution. The young patients also had similar short-term mortality but more favorable functional outcomes than the elderly. Furthermore, NIHSS score and larger hematoma volumes were associated with poor outcome in all patients.

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Section: Discussionmentioning

confidence: 99%

Age-related differences in risk factors, clinical characteristics, and outcomes for intracerebral hemorrhage

Chen,

Xie,

et al. 2023

Front. Aging Neurosci.

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“…The GCIPS, composed of WBC, LYM, and INR, was found to predict the survival of cancer patients [ 30 , 31 , 32 ]. The WBC count encompasses various cell subtypes, including NEU, LYM, monocytes (MON), eosinophils (EOS), and basophils (BAS) [ 33 ]. Except for EOS and BAS, which constituted a smaller proportion, the remaining cell subtypes played crucial roles in the initiation and development of tumors [ 34 , 35 ].…”

Section: Discussionmentioning

confidence: 99%

The Gastric Cancer Immune Prognostic Score (GCIPS) Shows Potential in Predicting an Unfavorable Prognosis for Gastric Cancer Patients Undergoing Immune Checkpoint Inhibitor Treatment

Zuo,

Sun,

Pan

et al. 2024

Biomedicines

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(1) Background: This study aims to explore the predictive capability of the Gastric Cancer Immune Prognostic Score (GCIPS) for an unfavorable prognosis in gastric cancer patients undergoing immune checkpoint inhibitor (ICI) treatment. (2) Methods: This study included 302 gastric cancer patients who underwent treatment with ICIs at our institution from January 2017 to December 2022. The patients were randomly divided into a test set (201 cases) and a validation set (101 cases) using a random number table. Kaplan–Meier survival analysis and the log-rank test were used to investigate survival differences. Cox regression analysis and Lasso regression analysis were employed to establish the GCIPS and identify independent prognostic indicators. ROC curves, time–ROC curves, and nomograms were utilized to further explore the predictive performance of GCIPS. (3) Results: The test set and validation set showed no statistical differences in clinical and pathological features, as well as blood parameters (all p > 0.05). Cox regression analysis revealed that white blood cells (WBC), lymphocytes (LYM), and the international normalized ratio (INR) emerged as independent prognostic blood indicators after eliminating collinearity through Lasso analysis. The GCIPS was established using β coefficients with the following formula: GCIPS = WBC (109/L) × 0.071 − LYM (109/L) × 0.375 + INR × 2.986. ROC curves based on death and time–ROC curves demonstrated that the GCIPS had higher AUCs than other classical markers at most time points. Survival analyses of all subgroups also revealed a significant correlation between the GCIPS and patients’ progression-free survival (PFS) and overall survival (OS) (all p < 0.05). Furthermore, the GCIPS was identified as an independent prognostic factor for both PFS and OS. Analyses in the validation set further confirmed the reliability and stability of the GCIPS in predicting patient prognosis. Finally, nomograms incorporating the GCIPS exhibited high accuracy in both the test and validation sets. Additionally, the nomograms revealed that the GCIPS had a higher prognostic value than any other factor, including the TNM stage. (4) Conclusions: The GCIPS demonstrated its ability to predict adverse outcomes in gastric cancer patients undergoing ICIs treatment and had a high prognostic value. As a readily accessible and simple novel biomarker, it effectively identified high-risk patients.

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Association between perioperative change in red cell distribution width and mortality in patients with brain tumor craniotomy

Wang,

Zhang,

et al. 2024

Journal of Clinical Anesthesia

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White Blood Cell Count Predicts Mortality in Patients with Spontaneous Intracerebral Hemorrhage

Cited by 5 publications

References 34 publications

Age-related differences in risk factors, clinical characteristics, and outcomes for intracerebral hemorrhage

Age-related differences in risk factors, clinical characteristics, and outcomes for intracerebral hemorrhage

The Gastric Cancer Immune Prognostic Score (GCIPS) Shows Potential in Predicting an Unfavorable Prognosis for Gastric Cancer Patients Undergoing Immune Checkpoint Inhibitor Treatment

Association between perioperative change in red cell distribution width and mortality in patients with brain tumor craniotomy

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