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Zhang C, Zhu J, Zhang M, Yuan Z, Wang X, Ye C, Jiang H, Ye X. Prognostic nomogram for predicting lower extremity deep venous thrombosis in ruptured intracranial aneurysm patients who underwent endovascular treatment. Front Neurol 2023; 14:1202076. [PMID: 37609653 PMCID: PMC10440693 DOI: 10.3389/fneur.2023.1202076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 06/30/2023] [Indexed: 08/24/2023] Open
Abstract
Background Lower extremity deep vein thrombosis (DVT) is one of the major postoperative complications in patients with ruptured intracranial aneurysms (RIA) who underwent endovascular treatment (EVT). However, patient-specific predictive models are still lacking. This study aimed to construct and validate a nomogram model for estimating the risk of lower extremity DVT for RIA patients who underwent EVT. Methods This cohort study enrolled 471 RIA patients who received EVT in our institution between 1 January 2020 to 4 February 2022. Perioperative information on participants is collected to develop and validate a nomogram for predicting lower extremity DVT in RIA patients after EVT. Predictive accuracy, discriminatory capability, and clinical effectiveness were evaluated by concordance index (C-index), calibration curves, and decision curve analysis. Result Multivariate logistic regression analysis showed that age, albumin, D-dimer, GCS score, middle cerebral artery aneurysm, and delayed cerebral ischemia were independent predictors for lower extremity DVT. The nomogram for assessing individual risk of lower extremity DVT indicated good predictive accuracy in the primary cohort (c-index, 0.92) and the validation cohort (c-index, 0.85), with a wide threshold probability range (4-82%) and superior net benefit. Conclusion The present study provided a reliable and convenient nomogram model developed with six optimal predictors to assess postoperative lower extremity DVT in RIA patients, which may benefit to strengthen the awareness of lower extremity DVT control and supply appropriate resources to forecast patients at high risk of RIA-related lower extremity DVT.
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Affiliation(s)
- Chengwei Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Wenzhou Medical University, Wenzhou, China
| | - Jiaqian Zhu
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Wenzhou Medical University, Wenzhou, China
| | - Minghong Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Wenzhou Medical University, Wenzhou, China
| | - Ziru Yuan
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Wenzhou Medical University, Wenzhou, China
| | - Xiaoxiong Wang
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Wenzhou Medical University, Wenzhou, China
| | - Chengxing Ye
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Wenzhou Medical University, Wenzhou, China
| | - Haojie Jiang
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Wenzhou Medical University, Wenzhou, China
| | - Xiong Ye
- Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Wenzhou Medical University, Wenzhou, China
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Gouvêa Bogossian E, Diaferia D, Minini A, Ndieugnou Djangang N, Menozzi M, Peluso L, Annoni F, Creteur J, Schuind S, Dewitte O, Taccone FS. Time course of outcome in poor grade subarachnoid hemorrhage patients: a longitudinal retrospective study. BMC Neurol 2021; 21:196. [PMID: 33985460 PMCID: PMC8117582 DOI: 10.1186/s12883-021-02229-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 05/06/2021] [Indexed: 12/17/2022] Open
Abstract
Background Neurological outcome and mortality of patients suffering from poor grade subarachnoid hemorrhage (SAH) may have changed over time. Several factors, including patients’ characteristics, the presence of hydrocephalus and intraparenchymal hematoma, might also contribute to this effect. The aim of this study was to assess the temporal changes in mortality and neurologic outcome in SAH patients and identify their predictors. Methods We performed a single center retrospective cohort study from 2004 to 2018. All non-traumatic SAH patients with poor grade on admission (WFNS score of 4 or 5) who remained at least 24 h in the hospital were included. Time course was analyzed into four groups according to the years of admission (2004–2007; 2008–2011; 2012–2015 and 2016–2018). Results A total of 353 patients were included in this study: 202 patients died (57 %) and 260 (74 %) had unfavorable neurological outcome (UO) at 3 months. Mortality tended to decrease in in 2008–2011 and 2016–2018 periods (HR 0.55 [0.34–0.89] and HR 0.33 [0.20–0.53], respectively, when compared to 2004–2007). The proportion of patients with UO remained high and did not vary significantly over time. Patients with WFNS 5 had higher mortality (68 % vs. 34 %, p = 0.001) and more frequent UO (83 % vs. 54 %, p = 0.001) than those with WFNS 4. In the multivariable analysis, WFNS 5 was independently associated with mortality (HR 2.12 [1.43–3.14]) and UO (OR 3.23 [1.67–6.25]). The presence of hydrocephalus was associated with a lower risk of mortality (HR 0.60 [0.43–0.84]). Conclusions Both hospital mortality and UO remained high in poor grade SAH patients. Patients with WFNS 5 on admission had worse prognosis than others; this should be taken into consideration for future clinical studies. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02229-1.
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Affiliation(s)
- Elisa Gouvêa Bogossian
- Department of Intensive Care Erasmus Hospital, Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium.
| | - Daniela Diaferia
- Department of Intensive Care Erasmus Hospital, Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
| | - Andrea Minini
- Department of Intensive Care Erasmus Hospital, Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
| | - Narcisse Ndieugnou Djangang
- Department of Intensive Care Erasmus Hospital, Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
| | - Marco Menozzi
- Department of Intensive Care Erasmus Hospital, Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
| | - Lorenzo Peluso
- Department of Intensive Care Erasmus Hospital, Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
| | - Filippo Annoni
- Department of Intensive Care Erasmus Hospital, Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
| | - Jacques Creteur
- Department of Intensive Care Erasmus Hospital, Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
| | - Sophie Schuind
- Department of Neurosurgery Erasmus Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Olivier Dewitte
- Department of Neurosurgery Erasmus Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Fabio Silvio Taccone
- Department of Intensive Care Erasmus Hospital, Université Libre de Bruxelles (ULB), Route de Lennik, 808, 1070, Brussels, Belgium
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