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The aim of this study is to investigate the effectiveness of prolonged versus standard course oseltamivir treatment among critically ill patients with severe influenza. A retrospective study of a prospectively collected database including adults with influenza infection admitted to 184 intensive care units (ICUs) in Spain from 2009 to 2018. Prolonged oseltamivir was defined if patients received the treatment beyond 5 days, whereas the standard-course group received oseltamivir for 5 days. The primary outcome was all-cause ICU mortality. Propensity score matching (PSM) was constructed, and the outcome was investigated through Cox regression and RCSs. Two thousand three hundred and ninety-seven subjects were included, of whom 1943 (81.1%) received prolonged oseltamivir and 454 (18.9%) received standard treatment. An optimal full matching algorithm was performed by matching 2171 patients, 1750 treated in the prolonged oseltamivir group and 421 controls in the standard oseltamivir group. After PSM, 387 (22.1%) patients in the prolonged oseltamivir and 119 (28.3%) patients in the standard group died (p = 0.009). After adjusting confounding factors, prolonged oseltamivir significantly reduced ICU mortality (odds ratio [OR]: 0.53, 95% confidence interval [CI]: 0.40-0.69). Prolonged oseltamivir may have protective effects on survival at Day 10 compared with a standard treatment course. Sensitivity analysis confirmed these findings. Compared with standard treatment, prolonged oseltamivir was associated with reduced ICU mortality in critically ill patients with severe influenza. Clinicians should consider extending the oseltamivir treatment duration to 10 days, particularly in higher-risk groups of prolonged viral shedding. Further randomized controlled trials are warranted to confirm these findings.
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Gripe Humana , Oseltamivir , Adulto , Humanos , Oseltamivir/uso terapéutico , Gripe Humana/tratamiento farmacológico , Antivirales/uso terapéutico , Estudios Retrospectivos , Enfermedad CríticaRESUMEN
BACKGROUND: The optimal time to intubate patients with SARS-CoV-2 pneumonia has not been adequately determined. While the use of non-invasive respiratory support before invasive mechanical ventilation might cause patient-self-induced lung injury and worsen the prognosis, non-invasive ventilation (NIV) is frequently used to avoid intubation of patients with acute respiratory failure (ARF). We hypothesized that delayed intubation is associated with a high risk of mortality in COVID-19 patients. METHODS: This is a secondary analysis of prospectively collected data from adult patients with ARF due to COVID-19 admitted to 73 intensive care units (ICUs) between February 2020 and March 2021. Intubation was classified according to the timing of intubation. To assess the relationship between early versus late intubation and mortality, we excluded patients with ICU length of stay (LOS) < 7 days to avoid the immortal time bias and we did a propensity score and a cox regression analysis. RESULTS: We included 4,198 patients [median age, 63 (54â71) years; 71% male; median SOFA (Sequential Organ Failure Assessment) score, 4 (3â7); median APACHE (Acute Physiology and Chronic Health Evaluation) score, 13 (10â18)], and median PaO2/FiO2 (arterial oxygen pressure/ inspired oxygen fraction), 131 (100â190)]; intubation was considered very early in 2024 (48%) patients, early in 928 (22%), and late in 441 (10%). ICU mortality was 30% and median ICU stay was 14 (7â28) days. Mortality was higher in the "late group" than in the "early group" (37 vs. 32%, p < 0.05). The implementation of an early intubation approach was found to be an independent protective risk factor for mortality (HR 0.6; 95%CI 0.5â0.7). CONCLUSIONS: Early intubation within the first 24 h of ICU admission in patients with COVID-19 pneumonia was found to be an independent protective risk factor of mortality. TRIAL REGISTRATION: The study was registered at Clinical-Trials.gov (NCT04948242) (01/07/2021).
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COVID-19 , Neumonía , Síndrome de Dificultad Respiratoria , Adulto , Femenino , Humanos , Masculino , Persona de Mediana Edad , COVID-19/terapia , Enfermedad Crítica/terapia , Mortalidad Hospitalaria , Unidades de Cuidados Intensivos , Intubación Intratraqueal , Oxígeno , Respiración Artificial , Estudios Retrospectivos , SARS-CoV-2RESUMEN
BACKGROUND: Critical care survivors often experience symptoms of anxiety, depression, or post-traumatic stress disorder (PTSD). AIMS: To determine the prevalence and severity of psychological symptoms during the first 6 months after discharge from the intensive care unit (ICU) and to evaluate its association with patients who are difficult to sedate during admission. DESIGN: Descriptive, prospective analysis of psychological symptoms in survivors from medicosurgical ICU over a 2-year period. METHODS: All ICU survivors who required mechanical ventilation (MV) for more than 24 hours were followed for 6 months after their ICU discharge. ICU outcome and complications as well as the presence of psychological symptoms, 1 to 3 to 6 months after discharge were prospectively evaluated through phone interviews comparing the incidence and intensity of patients who were difficult to sedate during their ICU stay with those who were not. Descriptive analysis and multivariate logistic regression were performed. RESULTS: Data were obtained for 195 patients, of whom 30% experienced difficult sedation (DS). Difficult-to-sedate patients were younger (P = .001), less critically ill (APACHE II score P = .002), and more likely to engage in harmful use of alcohol (P = .001) and psychoactive/psychotropic drug abuse. They also spent longer times on MV and in the ICU (P = .001). Anxiety incidence at 1 to 3 to 6 months post-discharge was significantly higher in DS patients than in those who were not (87.7% vs 45.4%, 75.5% vs 29.0%, and 70.8% vs 23.7%; P < .01), respectively. Depression incidence was also significantly higher in the DS group (82.4% vs 43.1%, 66% vs 33.9%, and 60.4% vs 27.2%; [P = .001]) at 1 to 3 to 6 months, respectively. A higher percentage of patients in the DS group reported symptoms of PTSD at 1 month (28.1% vs 11.5%) (P = .007) when compared with non-DS group. CONCLUSIONS: Critical care survivors who are difficult to sedate during their ICU stay are more likely to present psychological sequelae. Early identification of at-risk patients is necessary to implement appropriate preventive strategies. RELEVANCE TO CLINICAL PRACTICE: Patients who are difficult to sedate in the ICU may develop psychological disorders upon discharge, which may negatively affect their recovery. The prevention of DS and the early detection of psychological disorders are essential to minimize its subsequent impact.
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Cuidados Posteriores , Alta del Paciente , Humanos , Cuidados Críticos/psicología , Ansiedad/epidemiología , Ansiedad/psicología , Unidades de Cuidados Intensivos , Sobrevivientes/psicología , Enfermedad Crítica/psicologíaRESUMEN
BACKGROUND: Non-invasive oxygenation strategies have a prominent role in the treatment of acute hypoxemic respiratory failure during the coronavirus disease 2019 (COVID-19). While the efficacy of these therapies has been studied in hospitalized patients with COVID-19, the clinical outcomes associated with oxygen masks, high-flow oxygen therapy by nasal cannula and non-invasive mechanical ventilation in critically ill intensive care unit (ICU) patients remain unclear. METHODS: In this retrospective study, we used the best of nine covariate balancing algorithms on all baseline covariates in critically ill COVID-19 patients supported with > 10 L of supplemental oxygen at one of the 26 participating ICUs in Catalonia, Spain, between March 14 and April 15, 2020. RESULTS: Of the 1093 non-invasively oxygenated patients at ICU admission treated with one of the three stand-alone non-invasive oxygenation strategies, 897 (82%) required endotracheal intubation and 310 (28%) died during the ICU stay. High-flow oxygen therapy by nasal cannula (n = 439) and non-invasive mechanical ventilation (n = 101) were associated with a lower rate of endotracheal intubation (70% and 88%, respectively) than oxygen masks (n = 553 and 91% intubated), p < 0.001. Compared to oxygen masks, high-flow oxygen therapy by nasal cannula was associated with lower ICU mortality (hazard ratio 0.75 [95% CI 0.58-0.98), and the hazard ratio for ICU mortality was 1.21 [95% CI 0.80-1.83] for non-invasive mechanical ventilation. CONCLUSION: In critically ill COVID-19 ICU patients and, in the absence of conclusive data, high-flow oxygen therapy by nasal cannula may be the approach of choice as the primary non-invasive oxygenation support strategy.
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COVID-19 , Ventilación no Invasiva , Insuficiencia Respiratoria , COVID-19/terapia , Cánula , Humanos , Unidades de Cuidados Intensivos , Intubación Intratraqueal , Terapia por Inhalación de Oxígeno , Insuficiencia Respiratoria/terapia , Estudios Retrospectivos , SARS-CoV-2 , EspañaRESUMEN
BACKGROUND: The term "difficult sedation" (DS) refers to situations of therapeutic failure, tolerance, or deprivation of the sedatives administered. AIMS: To characterize the profile of patients who developed DS and to assess its impact on the duration of mechanical ventilation (MV) and intensive care unit length of stay (ICU-LOS), as well as other complications related to their stay. DESIGN: A prospective descriptive analysis was conducted of the practices of analgesia/sedation in a medical-surgical intensive care unit (ICU) over a 2-year period. METHODS: All critically ill patients undergoing MV and sedation for more than 24 hours were prospectively followed until death or discharge. Demographic data, type, duration, complications of analgesia/sedation, and clinical outcome during ICU stay were recorded. Patients who developed DS were compared with those who were not difficult to sedate (not-DS). RESULTS: A total of 327 patients were included, 24.1% of whom were difficult to sedate (DS). Patients in the DS group were younger (P = .001); less severely ill (P = .003); and were more likely to have a history of smoking (P = .045), alcohol (P < .001), and psychotropic use (P = .001) than the not-DS group. Patients included in the DS group were sedated for longer periods (P < .001) and required higher doses of midazolam (P < .036), propofol (P = .023), and remifentanyl (P = .026) than those in the not-DS group. Difficult-to-sedate patients were twice as likely to require more than one sedative simultaneously (P < .001), presented more periods of over-sedation (P = .031)/under-sedation (P = .024), and suffered more pain (P < .001) than patients in the not-DS group. Patients in the DS group had prolonged MV times (P < .001), developed more pressure ulcers (P > .001) and ventilator-associated pneumonias (P = .025), and were more likely to require tracheotomy (P = .001) than those in the not-DS group. CONCLUSION: DS develops in one of four critically ill patients and has a negative impact on their outcomes. Early identification of the clinical profile of this group and active prevention and treatment are essential strategies in order to minimize its impact. RELEVANCE TO CLINICAL PRACTICE: A quarter of mechanically ventilated patients may develop situations of DS, which negatively affects their outcome. Early detection and prevention of DS are essential to minimize its impact.
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Enfermedad Crítica , Hipnóticos y Sedantes , Humanos , Unidades de Cuidados Intensivos , Midazolam/uso terapéutico , Estudios Prospectivos , Respiración Artificial/efectos adversosRESUMEN
BACKGROUND: The identification of factors associated with Intensive Care Unit (ICU) mortality and derived clinical phenotypes in COVID-19 patients could help for a more tailored approach to clinical decision-making that improves prognostic outcomes. METHODS: Prospective, multicenter, observational study of critically ill patients with confirmed COVID-19 disease and acute respiratory failure admitted from 63 ICUs in Spain. The objective was to utilize an unsupervised clustering analysis to derive clinical COVID-19 phenotypes and to analyze patient's factors associated with mortality risk. Patient features including demographics and clinical data at ICU admission were analyzed. Generalized linear models were used to determine ICU morality risk factors. The prognostic models were validated and their performance was measured using accuracy test, sensitivity, specificity and ROC curves. RESULTS: The database included a total of 2022 patients (mean age 64 [IQR 5-71] years, 1423 (70.4%) male, median APACHE II score (13 [IQR 10-17]) and SOFA score (5 [IQR 3-7]) points. The ICU mortality rate was 32.6%. Of the 3 derived phenotypes, the A (mild) phenotype (537; 26.7%) included older age (< 65 years), fewer abnormal laboratory values and less development of complications, B (moderate) phenotype (623, 30.8%) had similar characteristics of A phenotype but were more likely to present shock. The C (severe) phenotype was the most common (857; 42.5%) and was characterized by the interplay of older age (> 65 years), high severity of illness and a higher likelihood of development shock. Crude ICU mortality was 20.3%, 25% and 45.4% for A, B and C phenotype respectively. The ICU mortality risk factors and model performance differed between whole population and phenotype classifications. CONCLUSION: The presented machine learning model identified three clinical phenotypes that significantly correlated with host-response patterns and ICU mortality. Different risk factors across the whole population and clinical phenotypes were observed which may limit the application of a "one-size-fits-all" model in practice.
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COVID-19/mortalidad , COVID-19/terapia , Anciano , Análisis por Conglomerados , Enfermedad Crítica , Femenino , Humanos , Masculino , Persona de Mediana Edad , Fenotipo , Medición de Riesgo , Factores de Riesgo , España/epidemiologíaRESUMEN
Patients in intensive care units are heterogeneous and the daily prediction of their days to discharge (DTD) a complex task that practitioners and computers are not always able to solve satisfactorily. In order to make more precise DTD predictors, it is necessary to have tools for the analysis of the heterogeneity of the patients. Unfortunately, the number of publications in this field is almost non-existent. In order to alleviate this lack of tools, we propose four methods and their corresponding measures to quantify the heterogeneity of intensive patients in the process of determining the DTD. These new methods and measures have been tested with patients admitted over four years to a tertiary hospital in Spain. The results deepen the understanding of the intensive patient and can serve as a basis for the construction of better DTD predictors.
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Unidades de Cuidados Intensivos , Alta del Paciente , Humanos , EspañaRESUMEN
Impact of training on end-of-life care (EOLC) and the deceased donation process in critical care physicians' perceptions and attitudes was analysed. A survey on attitudes and perceptions of deceased donation as part of the EOLC process was delivered to 535 physicians working in critical care before and after completion of a online training programme (2015-17). After training, more participants agreed that nursing staff should be involved in the end-of-life decision process (P < 0.001) and that relatives should not be responsible for medical decisions (P < 0.001). Postcourse, more participants considered 'withdrawal/withholding' as similar actions (P < 0.001); deemed appropriate the use of pre-emptive sedation in all patients undergoing life support treatment adequacy (LSTA; P < 0.001); and were favourable to approaching family about donation upon LSTA agreement, as well as admitting them in the intensive care unit (P < 0.001) to allow the possibility of donation. Education increased the number of participants prone to initiate measures to preserve the organs for donation before the declaration of death in patients undergoing LSTA (P < 0.001). Training increased number of positive terms selected by participants to describe donation after brain and circulatory death. Training programmes may be useful to improve physicians' perception and attitude about including donation as part of the patient's EOLC.
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Educación a Distancia , Médicos , Cuidado Terminal , Obtención de Tejidos y Órganos , Actitud , Actitud del Personal de Salud , Muerte Encefálica , Cuidados Críticos , Humanos , Percepción , Estudios ProspectivosRESUMEN
The limitation of life-sustaining treatment is common practice in critical care units, and organ donation after circulatory death has come to be included as an option within this care plan. Lack of knowledge and misunderstandings can raise barriers between health-care providers (e.g., confusion about professional roles, lack of collaboration, doubts about the legality of the process, and not respecting patients' wishes in the decision-making process). The aim of the present study was to determine the knowledge and attitudes of intensive care physicians and nurses before and after a multidisciplinary online training program. A cross-sectional study was performed, and comparisons between the two groups were made using a χ2 -test for categorical data and unpaired t-test or Mann-Whitney rank sum test for continuous data according to its distribution. Training benefited both professional categories, helping nurses to be more open-minded and willing to collaborate, while physicians became more aware of nurses' presence and the need to collaborate with them.
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Actitud del Personal de Salud , Personal de Salud/psicología , Unidades de Cuidados Intensivos , Percepción , Enseñanza/normas , Adulto , Estudios Transversales , Toma de Decisiones , Femenino , Paro Cardíaco/complicaciones , Paro Cardíaco/psicología , Humanos , Unidades de Cuidados Intensivos/organización & administración , Masculino , Persona de Mediana Edad , Análisis de Regresión , España , Estadísticas no Paramétricas , Encuestas y Cuestionarios , Enseñanza/psicología , Obtención de Tejidos y Órganos/estadística & datos numéricos , Privación de Tratamiento/estadística & datos numéricosRESUMEN
BACKGROUND: Evidence-based care processes are not always applied at the bedside in critically ill patients. Numerous studies have assessed the impact of checklists and related strategies on the process of care and patient outcomes. We aimed to evaluate the effects of real-time random safety audits on process-of-care and outcome variables in critical care patients. METHODS: This prospective study used data from the clinical information system to evaluate the impact of real-time random safety audits targeting 32 safety measures in two intensive care units during a 9-month period. We compared endpoints between patients attended with safety audits and those not attended with safety audits. The primary endpoint was mortality, measured by Cox hazard regression after full propensity-score matching. Secondary endpoints were the impact on adherence to process-of-care measures and on quality indicators. RESULTS: We included 871 patients; 228 of these were attended in ≥ 1 real-time random safety audits. Safety audits were carried out on 390 patient-days; most improvements in the process of care were observed in safety measures related to mechanical ventilation, renal function and therapies, nutrition, and clinical information system. Although the group of patients attended in safety audits had more severe disease at ICU admission [APACHE II score 21 (16-27) vs. 20 (15-25), p = 0.023]; included a higher proportion of surgical patients [37.3 % vs. 26.4 %, p = 0.003] and a higher proportion of mechanically ventilated patients [72.8 % vs. 40.3 %, p < 0.001]; averaged more days on mechanical ventilation, central venous catheter, and urinary catheter; and had a longer ICU stay [12.5 (5.5-23.3) vs. 2.9 (1.7-5.9), p < 0.001], ICU mortality did not differ significantly between groups (19.3 % vs. 18.8 % in the group without safety rounds). After full propensity-score matching, Cox hazard regression analysis showed real-time random safety audits were associated with a lower risk of mortality throughout the ICU stay (HR 0.31; 95 %CI 0.20-0.47). CONCLUSIONS: Real-time random safety audits are associated with a reduction in the risk of ICU mortality. Exploiting data from the clinical information system is useful in assessing the impact of them on the care process, quality indicators, and mortality.
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Cuidados Críticos , Unidades de Cuidados Intensivos , Humanos , Estudios Prospectivos , Puntaje de Propensión , Sistemas de Información , Enfermedad CríticaRESUMEN
OBJECTIVE: To assess incidence, risk factors and impact of acute kidney injury(AKI) within 48 h of intensive care unit(ICU) admission on ICU mortality in patients with SARS-CoV-2 pneumonia. To assess ICU mortality and risk factors for continuous renal replacement therapy (CRRT) in AKI I and II patients. DESIGN: Retrospective observational study. SETTING: Sixty-seven ICU from Spain, Andorra, Ireland. PATIENTS: 5399 patients March 2020 to April 2022. MAIN VARIABLES OF INTEREST: Demographic variables, comorbidities, laboratory data (worst values) during the first two days of ICU admission to generate a logistic regression model describing independent risk factors for AKI and ICU mortality. AKI was defined according to current international guidelines (kidney disease improving global outcomes, KDIGO). RESULTS: Of 5399 patients included 1879 (34.8%) developed AKI. These patients had higher ICU mortality and AKI was independently associated with a higher ICU mortality (HR 1.32 CI 1.17-1.48; p < 0.001). Male gender, hypertension, diabetes, obesity, chronic heart failure, myocardial dysfunction, higher severity scores, and procalcitonine were independently associated with the development of AKI. In AKI I and II patients the need for CRRT was 12.6% (217/1710). In these patients, APACHE II, need for mechanical ventilation in the first 24 h after ICU admission and myocardial dysfunction were associated with risk of needing CRRT. AKI I and II patients had a high ICU mortality (38.5%), especially if CRRT were required (64.1% vs. 34,8%; p < 0.001). CONCLUSIONS: Critically ill patients with SARS-CoV-2 pneumonia and AKI have a high ICU mortality. Even AKI I and II stages are associated with high risk of needing CRRT and ICU mortality.
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BACKGROUND: Liposomal amphotericin B (L-AmB) has become the mainstay of treatment for severe invasive fungal infections. However, the potential for renal toxicity must be considered. AIMS: To evaluate the incidence of acute kidney injury (AKI) in critically ill patients receiving L-AmB for more than 48 h. METHODS: Retrospective, observational, single-center study. Clinical, demographic and laboratory variables were obtained automatically from the electronic medical record. AKI incidence was analyzed in the entire population and in patients with a "low" or "high" risk of AKI based on their creatinine levels at the outset of the study. Factors associated with the development of AKI were studied using random forest models. RESULTS: Finally, 67 patients with a median age of 61 (53-71) years, 67% male, a median SOFA of 4 (3-6.5) and a crude mortality of 34.3% were included. No variations in serum creatinine were observed during the observation period, except for a decrease in the high-risk subgroup. A total of 26.8% (total population), 25% (low risk) and 13% (high risk) of patients developed AKI. Norepinephrine, the SOFA score, furosemide (general model), potassium, C-reactive protein and procalcitonin (low-risk subgroup) were the variables identified by the random forest models as important contributing factors to the development of AKI other than L-AmB administration. CONCLUSIONS: The development of AKI is multifactorial and the administration of L-AmB appears to be safe in this group of patients.
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OBJECTIVE: To evaluate the impact of obesity on ICU mortality. DESIGN: Observational, retrospective, multicentre study. SETTING: Intensive Care Unit (ICU). PATIENTS: Adults patients admitted with COVID-19 and respiratory failure. INTERVENTIONS: None. PRIMARY VARIABLES OF INTEREST: Collected data included demographic and clinical characteristics, comorbidities, laboratory tests and ICU outcomes. Body mass index (BMI) impact on ICU mortality was studied as (1) a continuous variable, (2) a categorical variable obesity/non-obesity, and (3) as categories defined a priori: underweight, normal, overweight, obesity and Class III obesity. The impact of obesity on mortality was assessed by multiple logistic regression and Smooth Restricted cubic (SRC) splines for Cox hazard regression. RESULTS: 5,206 patients were included, 20 patients (0.4%) as underweight, 887(17.0%) as normal, 2390(46%) as overweight, 1672(32.1) as obese and 237(4.5%) as class III obesity. The obesity group patients (nâ¯=â¯1909) were younger (61 vs. 65 years, pâ¯<â¯0.001) and with lower severity scores APACHE II (13 [9-17] vs. 13[10-17, pâ¯<â¯0.01) than non-obese. Overall ICU mortality was 28.5% and not different for obese (28.9%) or non-obese (28.3%, pâ¯=â¯0.65). Only Class III obesity (ORâ¯=â¯2.19, 95%CI 1.44-3.34) was associated with ICU mortality in the multivariate and SRC analysis. CONCLUSIONS: COVID-19 patients with a BMIâ¯>â¯40 are at high risk of poor outcomes in the ICU. An effective vaccination schedule and prolonged social distancing should be recommended.
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COVID-19 , Sobrepeso , Adulto , Humanos , Sobrepeso/complicaciones , Sobrepeso/epidemiología , Enfermedad Crítica , Estudios Retrospectivos , Delgadez/complicaciones , COVID-19/complicaciones , Obesidad/complicaciones , Obesidad/epidemiologíaRESUMEN
OBJECTIVE: To validate the unsupervised cluster model (USCM) developed during the first pandemic wave in a cohort of critically ill patients from the second and third pandemic waves. DESIGN: Observational, retrospective, multicentre study. SETTING: Intensive Care Unit (ICU). PATIENTS: Adult patients admitted with COVID-19 and respiratory failure during the second and third pandemic waves. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: Collected data included demographic and clinical characteristics, comorbidities, laboratory tests and ICU outcomes. To validate our original USCM, we assigned a phenotype to each patient of the validation cohort. The performance of the classification was determined by Silhouette coefficient (SC) and general linear modelling. In a post-hoc analysis we developed and validated a USCM specific to the validation set. The model's performance was measured using accuracy test and area under curve (AUC) ROC. RESULTS: A total of 2330 patients (mean age 63 [53-82] years, 1643 (70.5%) male, median APACHE II score (12 [9-16]) and SOFA score (4 [3-6]) were included. The ICU mortality was 27.2%. The USCM classified patients into 3 clinical phenotypes: A (nâ¯=â¯1206 patients, 51.8%); B (nâ¯=â¯618 patients, 26.5%), and C (nâ¯=â¯506 patients, 21.7%). The characteristics of patients within each phenotype were significantly different from the original population. The SC was -0.007 and the inclusion of phenotype classification in a regression model did not improve the model performance (0.79 and 0.78 ROC for original and validation model). The post-hoc model performed better than the validation model (SC -0.08). CONCLUSION: Models developed using machine learning techniques during the first pandemic wave cannot be applied with adequate performance to patients admitted in subsequent waves without prior validation.
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COVID-19 , Enfermedad Crítica , Unidades de Cuidados Intensivos , Humanos , COVID-19/epidemiología , Masculino , Femenino , Persona de Mediana Edad , Estudios Retrospectivos , Anciano , Anciano de 80 o más Años , Unidades de Cuidados Intensivos/estadística & datos numéricos , Pandemias , Análisis por Conglomerados , APACHE , Mortalidad Hospitalaria , SARS-CoV-2 , Insuficiencia Respiratoria , Puntuaciones en la Disfunción de ÓrganosRESUMEN
Pneumonia is a growing problem worldwide and remains an important cause of morbidity, hospitalizations, intensive care unit admission and mortality. Viruses are the causative agents in almost a fourth of cases of community-acquired pneumonia (CAP) in adults, with an important representation of influenza virus and SARS-CoV-2 pneumonia. Moreover, mixed viral and bacterial pneumonia is common and a risk factor for severity of disease. It is critical for clinicians the early identification of the pathogen causing infection to avoid inappropriate antibiotics, as well as to predict clinical outcomes. It has been extensively reported that biomarkers could be useful for these purposes. This review describe current evidence and provide recommendations about the use of biomarkers in influenza and SARS-CoV-2 pneumonia, focusing mainly on procalcitonin (PCT) and C-reactive protein (CRP). Evidence was based on a qualitative analysis of the available scientific literature (meta-analyses, randomized controlled trials, observational studies and clinical guidelines). Both PCT and CRP levels provide valuable information about the prognosis of influenza and SARS-CoV-2 pneumonia. Additionally, PCT levels, considered along with other clinical, radiological and laboratory data, are useful for early diagnosis of mixed viral and bacterial CAP, allowing the proper management of the disease and adequate antibiotics prescription. The authors propose a practical PCT algorithm for clinical decision-making to guide antibiotic initiation in cases of influenza and SARS-CoV-2 pneumonia. Further well-design studies are needed to validate PCT algorithm among these patients and to confirm whether other biomarkers are indeed useful as diagnostic or prognostic tools in viral pneumonia.
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ABSTRACT: Background: Cardiac output (CO) assessment is essential for management of patients with circulatory failure. Among the different techniques used for their assessment, pulsed-wave Doppler cardiac output (PWD-CO) has proven to be an accurate and useful tool. Despite this, assessment of PWD-CO could have some technical difficulties, especially in the measurement of left ventricular outflow tract diameter (LVOTd). The use of a parameter such as minute distance (MD) which avoids LVOTd in the PWD-CO formula could be a simple and useful way to assess the CO in critically ill patients. Therefore, the aim of this study was to evaluate the correlation and agreement between PWD-CO and MD. Methods: A prospective and observational study was conducted over 2 years in a 30-bed intensive care unit (ICU). Adult patients who required CO monitoring were included. Clinical echocardiographic data were collected within the first 24 h and at least once more during the first week of ICU stay. PWD-CO was calculated using the average value of three LVOTd and left ventricular outflow tract velocity-time integral (LVOT-VTI) measurements, and heart rate. Minute distance was obtained from the product of LVOT-VTI × heart rate. Pulsed-wave Doppler cardiac output was correlated with MD using linear regression. Cardiac output was quantified from the MD using the equation defined by linear regression. Bland-Altman analysis was also used to evaluate the level of agreement between CO calculated from MD (MD-CO) and PWD-CO. The percentage error was calculated. Results: A total of 98 patients and 167 CO measurements were analyzed. Sixty-seven (68%) were male, the median age was 66 years (interquartile range [IQR], 53-75 years), and the median Acute Physiology and Chronic Health Evaluation II score was 22 (IQR, 16-26). The most common cause of admission was shock in 81 patients (82.7%). Sixty-nine patients (70.4%) were mechanically ventilated, and 68 (70%) required vasoactive drugs. The median CO was 5.5 L/min (IQR, 4.8-6.6 L/min), and the median MD was 1,850 cm/min (IQR, 1,520-2,160 cm/min). There was a significant correlation between PWD-CO and MD-CO in the general population ( R2 = 0.7; P < 0.05). This correlation improved when left ventricular ejection fraction (LVEF) was less than 60% ( R2 = 0.85, P < 0.05). Bland-Altman analysis showed good agreement between PWD-CO and MD-CO in the general population, the median bias was 0.02 L/min, the limits of agreement were -1.92 to +1.92 L/min. The agreement was better in patients with LVEF less than 60% with a median bias of 0.005 L/min and limits of agreement of -1.56 to 1.55 L/min. The percentage error was 17% in both cases. Conclusion: Measurement of MD in critically ill patients provides a simple and accurate estimate of CO, especially in patients with reduced or preserved LVEF. This would allow earlier cardiovascular assessment in patients with circulatory failure, which is of particular interest in difficult clinical or technical conditions.
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Choque , Función Ventricular Izquierda , Adulto , Humanos , Masculino , Persona de Mediana Edad , Anciano , Femenino , Volumen Sistólico , Función Ventricular Izquierda/fisiología , Enfermedad Crítica , Estudios Prospectivos , Gasto Cardíaco/fisiologíaRESUMEN
BACKGROUND: Data on the benefits of rapid microbiological testing on antimicrobial consumption (AC) and antimicrobial resistance patterns (ARPs) are scarce. We evaluated the impact of a protocol based on rapid techniques on AC and ARP in intensive care (ICU) patients. METHODS: A retrospective pre- (2018) and post-intervention (2019-2021) study was conducted in ICU patients. A rapid diagnostic algorithm was applied starting in 2019 in patients with a lower respiratory tract infection. The incidence of nosocomial infections, ARPs, and AC as DDDs (defined daily doses) were monitored. RESULTS: A total of 3635 patients were included: 987 in the pre-intervention group and 2648 in the post-intervention group. The median age was 60 years, the sample was 64% male, and the average APACHE II and SOFA scores were 19 points and 3 points. The overall ICU mortality was 17.2% without any differences between the groups. An increase in the number of infections was observed in the post-intervention group (44.5% vs. 17.9%, p < 0.01), especially due to an increase in the incidence of ventilator-associated pneumonia (44.6% vs. 25%, p < 0.001). AC decreased from 128.7 DDD in 2018 to 66.0 DDD in 2021 (rate ratio = 0.51). An increase in Pseudomonas aeruginosa susceptibility of 23% for Piperacillin/tazobactam and 31% for Meropenem was observed. CONCLUSION: The implementation of an algorithm based on rapid microbiological diagnostic techniques allowed for a significant reduction in AC and ARPs without affecting the prognosis of critically ill patients.
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Around one-third of patients diagnosed with COVID-19 develop a severe illness that requires admission to the Intensive Care Unit (ICU). In clinical practice, clinicians have learned that patients admitted to the ICU due to severe COVID-19 frequently develop ventilator-associated lower respiratory tract infections (VA-LRTI). This study aims to describe the clinical characteristics, the factors associated with VA-LRTI, and its impact on clinical outcomes in patients with severe COVID-19. This was a multicentre, observational cohort study conducted in ten countries in Latin America and Europe. We included patients with confirmed rtPCR for SARS-CoV-2 requiring ICU admission and endotracheal intubation. Only patients with a microbiological and clinical diagnosis of VA-LRTI were included. Multivariate Logistic regression analyses and Random Forest were conducted to determine the risk factors for VA-LRTI and its clinical impact in patients with severe COVID-19. In our study cohort of 3287 patients, VA-LRTI was diagnosed in 28.8% [948/3287]. The cumulative incidence of ventilator-associated pneumonia (VAP) was 18.6% [610/3287], followed by ventilator-associated tracheobronchitis (VAT) 10.3% [338/3287]. A total of 1252 bacteria species were isolated. The most frequently isolated pathogens were Pseudomonas aeruginosa (21.2% [266/1252]), followed by Klebsiella pneumoniae (19.1% [239/1252]) and Staphylococcus aureus (15.5% [194/1,252]). The factors independently associated with the development of VA-LRTI were prolonged stay under invasive mechanical ventilation, AKI during ICU stay, and the number of comorbidities. Regarding the clinical impact of VA-LRTI, patients with VAP had an increased risk of hospital mortality (OR [95% CI] of 1.81 [1.40-2.34]), while VAT was not associated with increased hospital mortality (OR [95% CI] of 1.34 [0.98-1.83]). VA-LRTI, often with difficult-to-treat bacteria, is frequent in patients admitted to the ICU due to severe COVID-19 and is associated with worse clinical outcomes, including higher mortality. Identifying risk factors for VA-LRTI might allow the early patient diagnosis to improve clinical outcomes.Trial registration: This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable.
Asunto(s)
Bronquitis , COVID-19 , Neumonía Asociada al Ventilador , Infecciones del Sistema Respiratorio , Humanos , Estudios Prospectivos , COVID-19/complicaciones , SARS-CoV-2 , Respiración Artificial/efectos adversos , Infecciones del Sistema Respiratorio/complicaciones , Neumonía Asociada al Ventilador/tratamiento farmacológico , Bronquitis/tratamiento farmacológico , Ventiladores Mecánicos/efectos adversos , Factores de Riesgo , Unidades de Cuidados IntensivosRESUMEN
PURPOSE: Dexamethasone is the only drug that has consistently reduced mortality in patients with COVID-19, especially in patients needing oxygen or invasive mechanical ventilation. However, there is a growing concern about the relation of dexamethasone with the unprecedented rates of ICU-acquired respiratory tract infections (ICU-RTI) observed in patients with severe COVID-19. METHODS: This was a multicenter, prospective cohort study; conducted in ten countries in Latin America and Europe. We included patients older than 18 with confirmed SARS-CoV-2 requiring ICU admission. A multivariate logistic regression and propensity score matching (PSM) analysis was conducted to determine the relation between dexamethasone treatment and ICU-RTI. RESULTS: A total of 3777 patients were included. 2065 (54.7%) were treated with dexamethasone within the first 24 h of admission. After performing the PSM, patients treated with dexamethasone showed significantly higher proportions of VAP (282/1652 [17.1%] Vs. 218/1652 [13.2%], p = 0.014). Also, dexamethasone treatment was identified as an adjusted risk factor of ICU-RTI in the multivariate logistic regression model (OR 1.64; 95%CI: 1.37-1.97; p < 0.001). CONCLUSION: Patients treated with dexamethasone for severe COVID-19 had a higher risk of developing ICU-acquired respiratory tract infections after adjusting for days of invasive mechanical ventilation and ICU length of stay, suggesting a cautious use of this treatment.