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1.
Med Intensiva ; 46(2): 81-89, 2022 Feb.
Artigo em Espanhol | MEDLINE | ID: mdl-34545260

RESUMO

The COVID-19 pandemic has led to the admission of a high number of patients to the ICU, generally due to severe respiratory failure. Since the appearance of the first cases of SARS-CoV-2 infection, at the end of 2019, in China, a huge number of treatment recommendations for this entity have been published, not always supported by sufficient scientific evidence or with methodological rigor necessary. Thanks to the efforts of different groups of researchers, we currently have the results of clinical trials, and other types of studies, of higher quality. We consider it necessary to create a document that includes recommendations that collect this evidence regarding the diagnosis and treatment of COVID-19, but also aspects that other guidelines have not considered and that we consider essential in the management of critical patients with COVID-19. For this, a drafting committee has been created, made up of members of the SEMICYUC Working Groups more directly related to different specific aspects of the management of these patients.

2.
Rev Esp Quimioter ; 36(6): 612-620, 2023 Dec.
Artigo em Espanhol | MEDLINE | ID: mdl-37743661

RESUMO

OBJECTIVE: To assess the frequency of bacterial coinfection upon ICU admission in SARS-CoV-2 pneumonia patients, its microbiology, and impact on prognosis.The secondary objective was to identify risk factors for coinfection on admission. METHODS: Retrospective study, including patients with SARS-CoV-2 pneumonia admitted to the ICU.We defined bacterial coinfection by respiratory symptoms, radiological data, positive and clinically significant microbiological results in samples obtained in the first 48 h of admission and/or a determination of procalcitonin ≥ 0.5 ng/mL in the first 48 h.We evaluated demographic variables, comorbidities, SARS-CoV-2 infection data, severity scores, treatments received, need for respiratory support and outcomes (ICU and hospital mortality). RESULTS: A total of 182 patients were analyzed, 62 (34.1%) with bacterial coinfection.The most frequent microbiology was S. pneumoniae and M. pneumoniae. 96.1% of the patients received antibiotic therapy on admission, 98.9% corticosteroids, 27.5% tocilizumab, and 7.7% remdesivir.85.7% required invasive mechanical ventilation.The SOFA score (OR: 1.315, 95% CI1.116-1.548) and the delay in ICU admission (OR: 0.899, 95% CI 0.831-0.972) were related to the risk of coinfection. Bacterial coinfection increases the risk of death in hospital (OR 2.283; 95% CI 1.011.5.151; p=0.047). CONCLUSIONS: Bacterial coinfection is common in COVID patients admitted to the ICU and increases the risk of death. It is not possible to identify with certainty, at the time of admission, which patients do not benefit from antibiotic treatment.


Assuntos
Anti-Infecciosos , COVID-19 , Coinfecção , Humanos , COVID-19/complicações , COVID-19/epidemiologia , SARS-CoV-2 , Estado Terminal , Coinfecção/tratamento farmacológico , Coinfecção/epidemiologia , Estudos Retrospectivos , Incidência , Unidades de Terapia Intensiva
3.
Med Intensiva (Engl Ed) ; 46(9): 508-520, 2022 09.
Artigo em Inglês | MEDLINE | ID: mdl-35840495

RESUMO

Pseudomonas aeruginosa is the microorganism most frequently involved in the main ICU-acquired infections, with special importance in ventilator associated pneumonia. Its importance lies, in addition to its high incidence in critically ill patients, in the severity of the infections it causes and in the difficulty of its antimicrobial treatment, directly related to the high percentage of resistance to antibiotics classically considered first-line. New active antibiotics have recently been developed against Pseudomonas aeruginosa, even against multi-drug resistant strains. This review analyzes both the differential characteristics of Pseudomonas aeruginosa infections and the new therapeutic options, focusing on multi-drug resistant Pseudomonas aeruginosa.


Assuntos
Pneumonia Associada à Ventilação Mecânica , Infecções por Pseudomonas , Antibacterianos/farmacologia , Antibacterianos/uso terapêutico , Farmacorresistência Bacteriana Múltipla , Humanos , Pneumonia Associada à Ventilação Mecânica/tratamento farmacológico , Infecções por Pseudomonas/tratamento farmacológico , Pseudomonas aeruginosa
4.
Med Intensiva (Engl Ed) ; 46 Suppl 1: 60-71, 2022 Apr.
Artigo em Espanhol | MEDLINE | ID: mdl-38341261

RESUMO

Fluid and vasopressor resuscitation is, along with antimicrobial therapy and control of the focus of infection, a basic issue of the treatment of sepsis and septic shock. There is currently no accepted protocol that we can follow for the resuscitation of these patients and the Surviving Sepsis Campaign proposes controversial measures and without sufficient evidence support to establish firm recommendations. We propose a resuscitation strategy adapted to the situation of each patient: in the patient in whom community sepsis is suspected, we consider that the early administration of 30mL/kg of crystalloids is effective and safe; in the patient with nosocomial sepsis, we must carry out a more in-depth evaluation before initiating aggressive resuscitation. In patients who do not respond to initial resuscitation, it is necessary to increase monitoring level and, depending on the hemodynamic profile, administer more fluids, a second vasopressor or inotropes.

5.
Med Intensiva (Engl Ed) ; 46(3): 140-156, 2022 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-35221003

RESUMO

Sepsis is a major public health problem and a leading cause of death in the world, where delay in the beginning of treatment, along with clinical guidelines non-adherence have been proved to be associated with higher mortality. Machine Learning is increasingly being adopted in developing innovative Clinical Decision Support Systems in many areas of medicine, showing a great potential for automatic prediction of diverse patient conditions, as well as assistance in clinical decision making. In this context, this work conducts a narrative review to provide an overview of how specific Machine Learning techniques can be used to improve sepsis management, discussing the main tasks addressed, the most popular methods and techniques, as well as the obtained results, in terms of both intelligent system accuracy and clinical outcomes improvement.


Assuntos
Aprendizado de Máquina , Sepse , Tomada de Decisão Clínica , Humanos , Sepse/diagnóstico , Sepse/terapia
6.
Med Intensiva (Engl Ed) ; 46(2): 81-89, 2022 02.
Artigo em Inglês | MEDLINE | ID: mdl-34903475

RESUMO

The COVID-19 pandemic has led to the admission of a high number of patients to the ICU, generally due to severe respiratory failure. Since the appearance of the first cases of SARS-CoV-2 infection, at the end of 2019, in China, a huge number of treatment recommendations for this entity have been published, not always supported by sufficient scientific evidence or with methodological rigor necessary. Thanks to the efforts of different groups of researchers, we currently have the results of clinical trials, and other types of studies, of higher quality. We consider it necessary to create a document that includes recommendations that collect this evidence regarding the diagnosis and treatment of COVID-19, but also aspects that other guidelines have not considered and that we consider essential in the management of critical patients with COVID-19. For this, a drafting committee has been created, made up of members of the SEMICYUC Working Groups more directly related to different specific aspects of the management of these patients.


Assuntos
COVID-19 , Estado Terminal/terapia , Humanos , Unidades de Terapia Intensiva , Pandemias , SARS-CoV-2
7.
Rev Esp Quimioter ; 34(1): 33-43, 2021 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-33317261

RESUMO

OBJECTIVE: To assess the impact of corticosteroids on inflammatory and respiratory parameters of patients with COVID-19 and acute respiratory distress syndrome (ARDS). METHODS: Longitudinal, retrospective, observational study conducted in an ICU of a second level hospital. Adult patients with COVID-19 were included. Baseline characteristics, data on SARS-CoV-2 infection, treatment received, evolution of respiratory and inflammatory parameters, and ICU and hospital stay and mortality were analyzed. RESULTS: A total of 27 patients were included, 63% men, median age: 68.4 (51.8, 72.2) years. All patients met ARDS criteria and received MV and corticosteroids. After corticosteroids treatment we observed a reduction in the O2 A-a gradient [day 0: 322 (249, 425); day 3: 169 (129.5, 239.5) p<0.001; day 5: 144 (127.5, 228.0) p<0.001; day 7: 192 (120, 261) p=0.002] and an increase in the pO2/FiO2 ratio on days 3 and 5, but not on day 7 [day 0: 129 (100, 168); day 3: 193 (140, 236) p=0.002; day 5: 183 (141, 255) p=0.004; day 7: 170 (116, 251) p=0.057]. CRP also decreased on days 3 and 5 and increased again on day 7 [day 0: 16 (8.6, 24); day 3: 3.4 (1.7, 10.2) p<0.001; day 5: 4.1 (1.4, 10.2) p<0.001; day 7: 13.5 (6.8, 17.3) p=0.063]. Persistence of moderate ARDS on day 7 was related to a greater risk of poor outcome (OR 6.417 [1.091-37.735], p=0.040). CONCLUSIONS: Corticosteroids appears to reduce the inflammation and temporarily improve the oxygenation in COVID-19 and ARDS patients. Persistence of ARDS after 7 days treatment is a predictor of poor outcome.


Assuntos
Tratamento Farmacológico da COVID-19 , Consumo de Oxigênio/efeitos dos fármacos , Síndrome do Desconforto Respiratório/tratamento farmacológico , SARS-CoV-2 , Idoso , COVID-19/metabolismo , Feminino , Humanos , Unidades de Terapia Intensiva , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Consumo de Oxigênio/fisiologia , Respiração Artificial , Síndrome do Desconforto Respiratório/metabolismo , Estudos Retrospectivos , Centros de Cuidados de Saúde Secundários , Espanha , Fatores de Tempo , Resultado do Tratamento
8.
Artigo em Inglês, Espanhol | MEDLINE | ID: mdl-32482370

RESUMO

Sepsis is a major public health problem and a leading cause of death in the world, where delay in the beginning of treatment, along with clinical guidelines non-adherence have been proved to be associated with higher mortality. Machine Learning is increasingly being adopted in developing innovative Clinical Decision Support Systems in many areas of medicine, showing a great potential for automatic prediction of diverse patient conditions, as well as assistance in clinical decision making. In this context, this work conducts a narrative review to provide an overview of how specific Machine Learning techniques can be used to improve sepsis management, discussing the main tasks addressed, the most popular methods and techniques, as well as the obtained results, in terms of both intelligent system accuracy and clinical outcomes improvement.

9.
Med Intensiva (Engl Ed) ; 43 Suppl 1: 7-12, 2019 Mar.
Artigo em Inglês, Espanhol | MEDLINE | ID: mdl-30447857

RESUMO

Antiseptics are chemical substances that when applied topically onto intact skin, mucous membranes or wounds partially or completely reduces the population of living microorganisms in those tissues. Different types of antiseptics are available - those most commonly used in clinical practice being alcohols, iodinated compounds and chlorhexidine. When using an antiseptic, consideration is required of its spectrum of antimicrobial activity, latency, residual effects, possible interferences of the presence of organic material with the activity of the antiseptic, its side effects, compatibility with other antiseptics, and cost. This article is part of a supplement entitled "Antisepsis in the critical patient", which is sponsored by Becton Dickinson.


Assuntos
Álcoois/farmacologia , Anti-Infecciosos Locais/farmacologia , Compostos de Iodo/farmacologia , Álcoois/efeitos adversos , Anti-Infecciosos Locais/efeitos adversos , Anti-Infecciosos Locais/classificação , Cátions/efeitos adversos , Cátions/farmacologia , Clorexidina/efeitos adversos , Clorexidina/farmacologia , Interações Medicamentosas , Etanol/efeitos adversos , Etanol/farmacologia , Humanos , Peróxido de Hidrogênio/efeitos adversos , Peróxido de Hidrogênio/uso terapêutico , Unidades de Terapia Intensiva , Iodo/efeitos adversos , Iodo/farmacologia , Compostos de Iodo/efeitos adversos , Iodóforos/efeitos adversos , Iodóforos/farmacologia , Compostos de Mercúrio/farmacologia , Propranolol/efeitos adversos , Propranolol/farmacologia , Sulfadiazina/efeitos adversos , Sulfadiazina/farmacologia , Triclosan/efeitos adversos , Triclosan/farmacologia
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