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El intensivista debe dirigir la implementación de la inteligencia artificial en la UCI 强化者应该领导UCI的人工智能部署
IF 3.1 4区 医学 Q2 CRITICAL CARE MEDICINE Pub Date : 2025-09-01 DOI: 10.1016/j.medin.2025.502253
Juan-Jose Beunza
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引用次数: 0
Quality of causality assessment among observational studies in intensive care: A methodological review 重症监护观察性研究因果关系评价的质量:方法学回顾
IF 3.1 4区 医学 Q2 CRITICAL CARE MEDICINE Pub Date : 2025-09-01 DOI: 10.1016/j.medin.2025.502142
Laura Del Campo-Albendea , Ana García De La Santa Viñuela , Óscar Peñuelas , José Ignacio Pijoan Zubizarreta , Khalid Saeed Khan , Alfonso Muriel , Javier Zamora
Intensive care units (ICUs) rely in many instances on observational research and often encounter difficulties in establishing cause-and-effect relationships. After conducting a thorough search focused on ICU observational studies, this review analysed the causal language and evaluated the quality of reporting of the methodologies employed. The causal was assessed by analysing the words linking exposure to outcomes in the title and main objective. The quality of the reporting of the key methodological aspects related to causal inference was based on STROBE and ROBINS-I tools. We identified 139 articles, with 87 (63%) and 82 (59%) studies having non-causal language in their title and main objective, respectively. Among the total, 49 (35%) articles directly addressed causality. The review found vague causal language in observational ICU research and highlighted the need for better adherence to reporting guidelines for improved causal analysis and inference.
重症监护病房(icu)在许多情况下依赖于观察性研究,在建立因果关系方面经常遇到困难。在对ICU观察性研究进行全面检索后,本综述分析了因果语言并评估了所采用方法的报告质量。因果关系是通过分析标题和主要目标中将暴露与结果联系起来的单词来评估的。与因果推理相关的关键方法学方面的报告质量基于STROBE和ROBINS-I工具。我们确定了139篇文章,其中87篇(63%)和82篇(59%)的研究分别在标题和主要目的中使用了非因果语言。在总数中,有49篇(35%)文章直接涉及因果关系。本综述发现观察性ICU研究中存在模糊的因果语言,并强调需要更好地遵守报告指南,以改进因果分析和推断。
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引用次数: 0
Comunicación interventricular post infarto 梗死后心室通讯
IF 3.1 4区 医学 Q2 CRITICAL CARE MEDICINE Pub Date : 2025-09-01 DOI: 10.1016/j.medin.2025.502202
Emilio Curiel Balsera, Guillermo Gómez Gallego, Alejandro Navarro Cruz
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引用次数: 0
Reverse shock index multiplied by Glasgow coma scale (rSIG) to predict mortality in traumatic brain injury: systematic review and meta-analysis 逆休克指数乘以格拉斯哥昏迷量表(rSIG)预测外伤性脑损伤死亡率:系统回顾和荟萃分析
IF 3.1 4区 医学 Q2 CRITICAL CARE MEDICINE Pub Date : 2025-09-01 DOI: 10.1016/j.medin.2025.502149
Gustavo Adolfo Vásquez-Tirado , Edinson Dante Meregildo-Rodríguez , Claudia Vanessa Quispe-Castañeda , María Cuadra-Campos , Wilson Marcial Guzmán-Aguilar , Percy Hernán Abanto-Montalván , Hugo Alva-Guarniz , Leslie Jacqueline Liñán-Díaz , Luis Ángel Rodríguez-Chávez

Objective

To determine whether the Reverse Shock Index multiplied by the Glasgow Coma Scale (rSIG) is a predictor of in-hospital mortality in patients with traumatic brain injury (TBI).

Design

This is a systematic review and meta-analysis.

Setting

A comprehensive search was conducted in five databases for studies published up to May 22, 2024, using a PECO strategy. Eight studies were identified for quantitative analysis and included in our meta-analysis.

Participants

The participants of the included primary studies.

Interventions

Patients with a low rSIG as a predictor of in-hospital mortality in TBI.

Main variables of interest

rSIG, in-hospital mortality, TBI.

Results

Our meta-analysis evaluated a total of eight observational studies encompassing 430,000 patients with TBI, observing 6,417 deaths (15%). After performing a sensitivity analysis, we found that patients with TBI and a low value of the reverse shock index multiplied by the Glasgow Coma Scale (rSIG) had a 24% higher risk of death (OR 1.24; 95% CI 1.12–1.38; I²: 96%). Furthermore, rSIG values were significantly higher in survivors compared to those who died (MD 7.72; 95% CI 1.86–13.58; I²: 99%).
目的探讨逆休克指数乘以格拉斯哥昏迷量表(rSIG)是否可以预测外伤性脑损伤(TBI)患者的住院死亡率。这是一项系统回顾和荟萃分析。使用PECO策略,在5个数据库中对截至2024年5月22日发表的研究进行了全面检索。8项研究被确定用于定量分析,并纳入我们的荟萃分析。参与者纳入的主要研究的参与者。干预措施:低rSIG患者作为TBI住院死亡率的预测因子。感兴趣的主要变量:sig,住院死亡率,TBI。我们的荟萃分析共评估了8项观察性研究,包括430,000例TBI患者,观察到6,417例死亡(15%)。在进行敏感性分析后,我们发现,与格拉斯哥昏迷量表(rSIG)相比,逆行休克指数较低的TBI患者的死亡风险高出24% (OR 1.24; 95% CI 1.12-1.38; I²:96%)。此外,幸存者的rSIG值明显高于死亡患者(MD 7.72; 95% CI 1.86-13.58; I²:99%)。
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引用次数: 0
Monitoreo a través de tomografía por impedancia eléctrica en ECMO pediátrico 通过电阻抗断层扫描监测儿科心电图
IF 3.1 4区 医学 Q2 CRITICAL CARE MEDICINE Pub Date : 2025-09-01 DOI: 10.1016/j.medin.2025.502155
Gabriel Appendino, Fernando Paziencia, Carlos Lovesio
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引用次数: 0
Changes in the stress hormone cortisol during intensive care unit stay as a predictor of objective cognition at discharge 在重症监护病房期间应激激素皮质醇的变化作为出院时客观认知的预测因子
IF 3.1 4区 医学 Q2 CRITICAL CARE MEDICINE Pub Date : 2025-08-01 DOI: 10.1016/j.medin.2025.502166
Guillem Navarra-Ventura , Marta Godoy-González , Lluís Blanch , Josefina López-Aguilar , Sol Fernández-Gonzalo
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引用次数: 0
Exploring volatile anesthetics in critical care: Facts and uncertainties 探索挥发性麻醉药在重症监护:事实和不确定性
IF 3.1 4区 医学 Q2 CRITICAL CARE MEDICINE Pub Date : 2025-08-01 DOI: 10.1016/j.medin.2025.502174
José Manuel Añón , María Paz Escuela , Javier Oliva-Navarro , Arís Pérez-Lucendo , Fernando Suarez-Sipmann
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引用次数: 0
Afectación multisistémica por infección comunitaria grave por Streptococcus pyogenes 严重社区化脓性链球菌感染引起的多系统疾病
IF 3.1 4区 医学 Q2 CRITICAL CARE MEDICINE Pub Date : 2025-08-01 DOI: 10.1016/j.medin.2025.502206
Ángel Orera Pérez, Mónica Gordón Sauquillo, Paula Ramírez Galleymore
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引用次数: 0
Experience with ECMO therapy for acute respiratory distress syndrome treatment throughout the COVID-19 pandemic 在COVID-19大流行期间ECMO治疗急性呼吸窘迫综合征的经验
IF 3.1 4区 医学 Q2 CRITICAL CARE MEDICINE Pub Date : 2025-08-01 DOI: 10.1016/j.medin.2025.502207
José María Arribas-Leal , José Miguel Rivera-Caravaca , Claudia Vicente-Andreu , Alicia Verdú-Verdú , Ángel Sornichero , Daniel Pérez-Martínez , Juan Blanco-Morillo , Francisco Gutiérrez , Marina Simón-Páez , Rubén Jara , Sergio J. Canovas-Lopez , Carlos Albacete-Moreno

Objective

To analyze our experience with extracorporeal membrane oxygenation (ECMO) therapy for acute respiratory distress syndrome (ARDS) treatment during the COVID-19 pandemic.

Design

Retrospective, observational, single center study.

Setting

Third-level hospital in Spain.

Patients

Adult patients with COVID-19 ARDS treated with an ECMO system in our center between March 2020 and March 2023.

Interventions

Retrospective collection of variables during hospital admission and follow-up.

Main Variables of Interest

Demographic variables, clinical history, variables related to ECMO therapy, COVID-19 wave number, in-hospital mortality, adverse events, ICU and hospital length of stay, and functional status at follow-up were collected.

Results

Eighty-one patients were included. Of these, 61 patients (75%) died during hospitalization. Patients who died were older and had more comorbidities. During the second, third, and sixth waves, mortality was higher. In the multivariate analysis, the only independent predictor of mortality was age (OR 1.24 95% CI (1.027–1.5, P = 0.025). After discharge, 40% of patients had difficulties returning to normal life due to respiratory failure requiring oxygen and arthropathies.

Conclusion

In-hospital mortality increased during the pandemic. Older age was the only independent predictor of mortality. After discharge, no deaths were recorded during the first 18 months of follow-up, although 40% of surviving patients had respiratory and motor sequelae making it difficult for them to return to a normal life.
目的分析2019冠状病毒病疫情期间体外膜氧合(ECMO)治疗急性呼吸窘迫综合征(ARDS)的经验。设计回顾性、观察性、单中心研究。西班牙三级医院。2020年3月至2023年3月期间,我们中心接受ECMO系统治疗的成年COVID-19 ARDS患者。干预措施:回顾性收集住院和随访期间的变量。收集人口学变量、临床病史、ECMO治疗相关变量、COVID-19波数、住院死亡率、不良事件、ICU和住院时间、随访时功能状态。结果共纳入81例患者。其中,61例(75%)患者在住院期间死亡。死亡的患者年龄较大,有更多的合并症。在第二次、第三次和第六次浪潮中,死亡率更高。在多变量分析中,死亡率的唯一独立预测因子是年龄(OR 1.24, 95% CI (1.027-1.5, P = 0.025)。出院后,40%的患者由于呼吸衰竭需要氧气和关节病变而难以恢复正常生活。结论流感大流行期间住院死亡率上升。年龄较大是死亡率的唯一独立预测因子。出院后,在前18个月的随访中没有死亡记录,尽管40%的存活患者有呼吸和运动后遗症,使他们难以恢复正常生活。
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引用次数: 0
Desarrollo y validación de modelos predictivos de mortalidad en pacientes oncológicos críticos en la UCI: una necesidad urgente 开发和验证重症监护患者癌症死亡率预测模型:迫切需要
IF 3.1 4区 医学 Q2 CRITICAL CARE MEDICINE Pub Date : 2025-08-01 DOI: 10.1016/j.medin.2025.502163
Elena Cuenca Fito , Inés Gómez-Acebo , Alejandro González Castro
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引用次数: 0
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Medicina Intensiva
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