1
|
Hawash AMA, Zaytoun TM, Helmy TA, El Reweny EM, Abdel Galeel AMA, Taleb RSZ. S100B and brain ultrasound: Novel predictors for functional outcome in acute ischemic stroke patients. Clin Neurol Neurosurg 2023; 233:107907. [PMID: 37541157 DOI: 10.1016/j.clineuro.2023.107907] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 07/16/2023] [Accepted: 07/17/2023] [Indexed: 08/06/2023]
Abstract
OBJECTIVE Stroke is a leading cause of mortality and disability worldwide. This study aimed to assess the prognostic value of serum S100B protein, transcranial color-coded duplex sonography (TCCD), and optic nerve sheath diameter (ONSD) in predicting functional outcomes in critically ill patients with acute ischemic stroke (AIS). METHODS In this prospective observational study, 80 adult AIS patients were evaluated. Serum S100B protein levels, ONSD, and middle cerebral artery pulsatility index (MCA PI) were measured on days 1 and 3. Functional outcomes at 90 days were assessed using the modified Rankin Scale (mRS) and categorized into favourable (mRS 0-2) or unfavourable (mRS 3-6) groups. The association of demographic, clinical, laboratory, and imaging parameters with mRS outcomes was analyzed. RESULTS Poor mRS outcomes occurred in 82.5 % of patients. Factors significantly associated with poor outcomes were female sex, higher National Institutes of Health Stroke Scale (NIHSS) scores on days 1, 3, and 7, and larger stroke size. Receiver Operating Characteristic (ROC) curve analysis revealed that ONSD at days 1 and 3, serum S100B levels at day 1, and right MCA PI at day 1 had significant predictive value for poor mRS outcome. Multivariate analysis identified female sex, S100B on day 1, and NIHSS on days 1, 3, and 7 as independent predictors of poor mRS outcomes. CONCLUSIONS The combination of S100B, ONSD, and MCA PI improved the prediction of functional outcomes in critically ill AIS patients. Early S100B measurement and brain ultrasound evaluation may serve as valuable prognostic tools for guiding therapeutic decision-making. This study provides novel insights into the role of S100B and brain ultrasound in stroke outcome prediction, particularly in critically ill AIS patients.
Collapse
Affiliation(s)
| | - Tayseer Mohamed Zaytoun
- Critical Care Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - Tamer AbdAllah Helmy
- Critical Care Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - Ehab Mahmoud El Reweny
- Critical Care Medicine Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | | | - Raghda Saad Zaghloul Taleb
- Clinical and Chemical Pathology Department, Faculty of Medicine, Alexandria University, Alexandria, Egypt
| |
Collapse
|
2
|
Sonneville R, Mazighi M, Collet M, Gayat E, Degos V, Duranteau J, Grégoire C, Sharshar T, Naim G, Cortier D, Jost PH, Foucrier A, Bagate F, de Montmollin E, Papin G, Magalhaes E, Guidet B, Ben Hadj Salem O, Benghanem S, le Guennec L, Delpierre E, Legriel S, Megarbane B, Toumert K, Tran M, Geri G, Monchi M, Bodiguel E, Mariotte E, Demoule A, Zarka J, Diehl JL, Roux D, Barré E, Tanaka S, Osman D, Pasquier P, Lamara F, Crassard I, Boursin P, Ruckly S, Staiquly Q, Timsit JF, Woimant F. One-Year Outcomes in Patients With Acute Stroke Requiring Mechanical Ventilation. Stroke 2023; 54:2328-2337. [PMID: 37497675 DOI: 10.1161/strokeaha.123.042910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/22/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND Long-term outcomes of patients with severe stroke remain poorly documented. We aimed to characterize one-year outcomes of patients with stroke requiring mechanical ventilation in the intensive care unit (ICU). METHODS We conducted a prospective multicenter cohort study in 33 ICUs in France (2017-2019) on patients with consecutive strokes requiring mechanical ventilation for at least 24 hours. Outcomes were collected via telephone interviews by an independent research assistant. The primary end point was poor functional outcome, defined by a modified Rankin Scale score of 4 to 6 at 1 year. Multivariable mixed models investigated variables associated with the primary end point. Secondary end points included quality of life, activities of daily living, and anxiety and depression in 1-year survivors. RESULTS Among the 364 patients included, 244 patients (66.5% [95% CI, 61.7%-71.3%]) had a poor functional outcome, including 190 deaths (52.2%). After adjustment for non-neurological organ failure, age ≥70 years (odds ratio [OR], 2.38 [95% CI, 1.26-4.49]), Charlson comorbidity index ≥2 (OR, 2.01 [95% CI, 1.16-3.49]), a score on the Glasgow Coma Scale <8 at ICU admission (OR, 3.43 [95% CI, 1.98-5.96]), stroke subtype (intracerebral hemorrhage: OR, 2.44 [95% CI, 1.29-4.63] versus ischemic stroke: OR, 2.06 [95% CI, 1.06-4.00] versus subarachnoid hemorrhage: reference) remained independently associated with poor functional outcome. In contrast, a time between stroke diagnosis and initiation of mechanical ventilation >1 day was protective (OR, 0.56 [95% CI, 0.33-0.94]). A sensitivity analysis conducted after exclusion of patients with early decisions of withholding/withdrawal of care yielded similar results. We observed persistent physical and psychological problems at 1 year in >50% of survivors. CONCLUSIONS In patients with severe stroke requiring mechanical ventilation, several ICU admission variables may inform caregivers, patients, and their families on post-ICU trajectories and functional outcomes. The burden of persistent sequelae at 1 year reinforces the need for a personalized, multi-disciplinary, prolonged follow-up of these patients after ICU discharge. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT03335995.
Collapse
Affiliation(s)
- Romain Sonneville
- Université de Paris, INSERM UMR 1148, F-75018 Paris, France (R.S., M. Mazighi)
- APHP, Department of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, F75018 Paris, France (R.S., G.P., F.L., J.-F.T.)
| | - Mikael Mazighi
- Université de Paris, INSERM UMR 1148, F-75018 Paris, France (R.S., M. Mazighi)
- APHP, Department of Neurology, Lariboisière University Hospital, Paris, France (M. Mazighi)
- APHP, Department of Neuroradiology, Rothschild Hospital Foundation, Paris, France (M. Mazighi, P.B.)
| | - Magalie Collet
- APHP.Nord, Department of Anesthesiology and Critical Care, DMU Parabol, Université de Paris, France (M.C., E.G.)
- UMR-S 942 "MASCOT," Inserm, Paris, France (M.C., E.G.)
| | - Etienne Gayat
- APHP.Nord, Department of Anesthesiology and Critical Care, DMU Parabol, Université de Paris, France (M.C., E.G.)
- UMR-S 942 "MASCOT," Inserm, Paris, France (M.C., E.G.)
| | - Vincent Degos
- APHP, Department of Critical Care, Anesthesia and Perioperative Medicine, Pitié-Salpétrière University Hospital and Sorbonne Université, Paris, France (V.D.)
- GRC ARPE, Sorbonne Université, Paris, France (V.D.)
| | - Jacques Duranteau
- APHP, Department of Anesthesiology and Critical Care, Bicêtre University Hospitals, Le Kremlin Bicêtre, France (J.D.)
| | - Charles Grégoire
- Department of Intensive Care, Rothschild Hospital Foundation, Paris, France (C.G.)
| | - Tarek Sharshar
- Department of Neuroanesthesiology and Intensive Care, Saint Anne Hospital, Paris, France (T.S., G.N.)
| | - Giulia Naim
- Department of Neuroanesthesiology and Intensive Care, Saint Anne Hospital, Paris, France (T.S., G.N.)
| | - David Cortier
- Department of Intensive Care, Foch Hospital, Paris, France (D.C.)
| | - Paul-Henri Jost
- APHP, Department of Anesthesiology and Critical Care, Henri Mondor University Hospital, Créteil, France (P.-H.J.)
| | - Arnaud Foucrier
- APHP, Department of Anesthesiology and Critical Care, Beaujon University Hospital, Clichy, France (A.F.)
| | - François Bagate
- APHP, Department of Intensive Care Medicine, Henri Mondor University Hospital and Université de Paris Est Créteil, France (F.B.)
| | - Etienne de Montmollin
- Department of Intensive Care Medicine, Delafontaine Hospital, Saint-Denis, France (E.d.M.)
| | - Gregory Papin
- APHP, Department of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, F75018 Paris, France (R.S., G.P., F.L., J.-F.T.)
| | - Eric Magalhaes
- Department of Intensive Care Medicine, Sud Francilien Hospital, Corbeil, France (E.M.)
| | - Bertrand Guidet
- APHP, Department of Intensive Care Medicine, Saint Antoine University Hospital, Paris, France (B.G.)
| | - Omar Ben Hadj Salem
- Department of Intensive Care Medicine, Poissy-Saint Germain en Laye Hospital, Paris, France (O.B.H.S.)
| | - Sarah Benghanem
- APHP, Medical ICU, Cochin University Hospital and Université Paris Cité, France (S.B.)
| | - Loïc le Guennec
- APHP, Department of Intensive Care Medicine, La Pitié-Salpêtrière University Hospital and Sorbonne Université, Paris, France (L.l.G.)
| | - Eric Delpierre
- Department of Intensive Care Medicine, Meaux Hospital, France (E.D.)
| | - Stephane Legriel
- Department of Intensive Care Medicine, Versailles Hospital, Le Chesnay, and Paris-Saclay University UVSQ, INSERM, CESP, Villejuif, France (S.L.)
| | - Bruno Megarbane
- APHP, Department of Medical and Toxicological Critical Care, Lariboisière Hospital and INSERM UMRS-1144, Université Paris Cité, France (B.M.)
| | - Karim Toumert
- Department of Intensive Care Medicine, Gonesse Hospital, France (K.T.)
| | - Marc Tran
- Department of Intensive Care Medicine, Paris Saint-Joseph Hospital, Paris, France (M.T.)
| | - Guillaume Geri
- APHP, Department of Intensive Care Medicine, Ambroise Paré University Hospital, Boulogne, France (G.G.)
| | - Mehran Monchi
- Department of Intensive Care Medicine, Melun-Senart Hospital, France (M. Monchi)
| | - Eric Bodiguel
- APHP, Emergency Department, Georges Pompidou University Hospital, Paris, France (E. Bodiguel)
| | - Eric Mariotte
- APHP, Department of Intensive Care Medicine, Saint Louis University Hospital, Paris, France (E.M.)
| | - Alexandre Demoule
- APHP, Department of Intensive Care Medicine (R3S) and Sorbonne Université, INSERM, UMRS1158, Pitié-Salpétrière University Hospital, Paris, France (A.D.)
| | - Jonathan Zarka
- Department of Intensive Care Medicine, Lagny Hospital, France (J.Z.)
| | - Jean-Luc Diehl
- APHP, Department of Intensive Care Medicine, Georges Pompidou University Hospital and INSERM UMR_S 1140 Paris, France (J.-L.D.)
| | - Damien Roux
- APHP, Medico-Surgical ICU, Louis Mourier University Hospital, Colombes and Université Paris Cité, IAME, INSERM, UMR1137, France (D.R.)
| | - Eric Barré
- Department of Intensive Care Medicine, Mantes-la-Jolie Hospital, France (E. Barré)
| | - Sebastien Tanaka
- APHP, Department of Anesthesia and Critical Care Medicine, Bichat-Claude Bernard University Hospital and INSERM UMR 1188 DéTROI, Université de la Réunion, Saint-Denis de la Réunion, France (S.T.)
| | - David Osman
- APHP, Department of Intensive Care Medicine, Bicêtre University Hospital, Le Kremlin Bicêtre, France (D.O.)
| | - Pierre Pasquier
- Department of Anesthesiology and Critical Care, Percy Military Training Hospital, Clamart, France (P.P.)
| | - Fariza Lamara
- APHP, Department of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, F75018 Paris, France (R.S., G.P., F.L., J.-F.T.)
| | | | - Perrine Boursin
- APHP, Department of Neuroradiology, Rothschild Hospital Foundation, Paris, France (M. Mazighi, P.B.)
| | - Stéphane Ruckly
- Department of Biostatistics, ICUREsearch, Paris, France (S.R., Q.S.)
| | - Quentin Staiquly
- Department of Biostatistics, ICUREsearch, Paris, France (S.R., Q.S.)
| | - Jean-François Timsit
- APHP, Department of Intensive Care Medicine, Bichat-Claude Bernard University Hospital, F75018 Paris, France (R.S., G.P., F.L., J.-F.T.)
| | - France Woimant
- Agence Régionale de Santé Ile-de-France, Paris, France (I.C., F.W.)
| |
Collapse
|
3
|
Zhang JZ, Chen H, Wang X, Xu K. Risk factors of mortality and severe disability in the patients with cerebrovascular diseases treated with perioperative mechanical ventilation. World J Clin Cases 2022; 10:5230-5240. [PMID: 35812679 PMCID: PMC9210878 DOI: 10.12998/wjcc.v10.i16.5230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 01/07/2022] [Accepted: 04/04/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The prognosis of cerebrovascular diseases treated with mechanical ventilation during perioperative has not been clearly reported.
AIM To analyze mortality and functional disability and to determine predictors of unfavorable outcome in the patients with cerebrovascular diseases treated with mechanical ventilation.
METHODS A retrospective follow-up study of 111 cerebrovascular disease patients who underwent mechanical ventilation during the perioperative period in the First Hospital of Jilin University from June 2016 to June 2019 was performed. Main measurements were mortality and functional outcome in-hospital and after 3-month follow-up. According to the modified rankin scale (mRS), the functional outcome was divided into three groups: Good recovery (mRS ≤ 3), severe disability (mRS = 4 or 5) and death (mRS = 6). Univariate analysis was used to compare the differences between three functional outcomes. Multivariate logistic regression analysis was used to for risk factors of mortality and severe disability.
RESULTS The average age of 111 patients was 56.46 ± 12.53 years, 59 (53.15%) were males. The mortality of in-hospital and 3-month follow-up were 36.9% and 45.0%, respectively. Of 71 discharged patients, 46.47% were seriously disabled and 12.67% died after three months follow-up. Univariate analysis showed that preoperative glasgow coma scale, operation start time and ventilation reasons had statistically significant differences in different functional outcomes. Multiple logistic regression analysis showed that the cause of ventilation was related to the death and poor prognosis of patients with cerebrovascular diseases. Compared with brainstem compression, the risk of death or severe disability of pulmonary disease, status epilepticus, impaired respiratory center function, and shock were 0.096 (95%CI: 0.028-0.328), 0.026 (95%CI: 0.004-0.163), 0.095 (95%CI: 0.013-0.709), 0.095 (95%CI: 0.020-0.444), respectively.
CONCLUSION The survival rate and prognostic outcomes of patients with cerebrovascular diseases treated with mechanical ventilation during the perioperative period were poor. The reason for mechanical ventilation was a statistically significant predictor for mortality and severe disability.
Collapse
Affiliation(s)
- Jin-Zhu Zhang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China
| | - Hao Chen
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China
| | - Xin Wang
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China
| | - Kan Xu
- Department of Neurosurgery, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China
| |
Collapse
|