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1.
Infection ; 2024 Apr 12.
Artículo en Inglés | MEDLINE | ID: mdl-38607592

RESUMEN

PURPOSE: Sepsis has a high incidence and a poor prognosis. Early recognition is important to facilitate timely initiation of adequate care. Sepsis screening tools, such as the (quick) Sequential Organ Failure Assessment ((q)SOFA) and National Early Warning Score (NEWS), could help recognize sepsis. These tools have been validated in a general immunocompetent population, while their performance in immunocompromised patients, who are particularly at risk of sepsis development, remains unknown. METHODS: This study is a post hoc analysis of a prospective observational study performed at the emergency department. Inclusion criteria were age ≥ 18 years with a suspected infection, while ≥ two qSOFA and/or SOFA criteria were used to classify patients as having suspected sepsis. The primary outcome was in-hospital mortality. RESULTS: 1516 patients, of which 40.5% used one or more immunosuppressives, were included. NEWS had a higher prognostic accuracy as compared to qSOFA for predicting poor outcome among immunocompromised sepsis patients. Of all tested immunosuppressives, high-dose glucocorticoid therapy was associated with a threefold increased risk of both in-hospital and 28-day mortality. CONCLUSION: In contrast to NEWS, qSOFA underestimates the risk of adverse outcome in patients using high-dose glucocorticoids. As a clinical consequence, to adequately assess the severity of illness among immunocompromised patients, health care professionals should best use the NEWS.

2.
J Pak Med Assoc ; 68(9): 1321-1326, 2018 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-30317258

RESUMEN

OBJECTIVE: Sepsis is the leading disease that is diagnosed late and still has a mortal course in emergency departments. The primary factors that will reduce both morbidity and mortality are early diagnosis and an early treatment approach. Therefore, in this study, P-selectin and MCP1 levels, which are known to be markers of inflammation, were examined in patients being followed up in intensive care. METHODS: Patients evaluated with a preliminary diagnosis of sepsis in the emergency intensive care unit between September 2015 and August 2016 were classified as having sepsis or infection according to the Q- SOFA criteria, and the P- selectin values were compared. RESULTS: In the sepsis group, GCS was determined as 13 (12-13), SBP 90 (80-110), tachypnea 24 (22-26), lactate 3.8 (0.6-16.0), MAP 70 (60-77), and LOS 16 days (9.5-20.3). In the ROC analysis, the sensitivity of P-selectin and MCP1 in the differentiation of patients with and without sepsis was 95.7%, and 73.8%, and the specificity was 97.8% and 73.8%, respectively. According to the cutoff values, the sensitivity and specificity in the prediction of patient mortality were 71.4% and 65.6% in P- selectin and 78.6% and 65.6% in MCP1. CONCLUSIONS: The P-selectin and MCP1 values in the emergency department can differentiate sepsis patients according to the Q-SOFA criteria and showed 30-day mortality at a significant level. Therefore, in patients with suspected sepsis in an emergency department, MCP1 can be of benefit to physicians in their decisions regarding LOS and transfer to intensive care.


Asunto(s)
Infecciones , Selectina-P/sangre , Sepsis , APACHE , Adulto , Anciano , Biomarcadores/sangre , Diagnóstico Diferencial , Intervención Médica Temprana/métodos , Servicio de Urgencia en Hospital/estadística & datos numéricos , Femenino , Humanos , Infecciones/sangre , Infecciones/diagnóstico , Infecciones/epidemiología , Tiempo de Internación/estadística & datos numéricos , Masculino , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Pronóstico , Curva ROC , Estudios Retrospectivos , Sensibilidad y Especificidad , Sepsis/sangre , Sepsis/diagnóstico , Sepsis/mortalidad , Turquía/epidemiología
3.
Intern Med ; 62(17): 2475-2482, 2023 Sep 01.
Artículo en Inglés | MEDLINE | ID: mdl-36631095

RESUMEN

Objective Although blood cultures to identify the presence of bacteremia are recommended for nursing- and healthcare-associated pneumonia (NHCAP), the incidence of true bacteremia and the relationship between true bacteremia and the outcome remain unclear. Physicians can therefore sometimes be confused regarding whether or not blood cultures should be obtained for NHCAP patients. This study assessed the incidence of true bacteremia and the relationship between true bacteremia and the outcome of NHCAP in a Japanese hospital setting. Methods We retrospectively analyzed NHCAP patients hospitalized between April 2016 and March 2021. The primary outcome was the incidence of true bacteremia in blood cultures. The incidence of true bacteremia was also examined according to quick Sequential Organ Failure Assessment (qSOFA) and A-DROP scores. In addition, we compared the incidence of true bacteremia between survivors and non-survivors. Results In total, 205 patients were included in this study. Blood cultures were obtained from 150 of the 205 patients (73.2%). Positive blood cultures were detected in 26 patients (17.3%), of which only 8 cases (5.3%; 95% confidence interval, 2.3-10.2%) were considered true bacteremia. Trend analyses for the incidence of true bacteremia according to qSOFA and A-DROP scores did not show any statistically significant results (p=0.49 for qSOFA; p=0.14 for A-DROP). The proportion of true bacteremia cases did not differ significantly between survivors and non-survivors. Conclusions The incidence of true bacteremia among NHCAP patients was very low. A strategy for determining indications for obtaining blood cultures from NHCAP patients needs to be established.


Asunto(s)
Bacteriemia , Infección Hospitalaria , Neumonía Asociada a la Atención Médica , Humanos , Infección Hospitalaria/epidemiología , Estudios Transversales , Estudios Retrospectivos , Pacientes Internos , Bacteriemia/diagnóstico , Bacteriemia/epidemiología
4.
Int J Surg ; 72: 71-77, 2019 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-31678690

RESUMEN

BACKGROUND: Since its introduction in 2016, the Sepsis-3 guidelines, with emphasis on the quick Sequential Organ Failure Assessment (qSOFA) score, have generated much debate and controversy. It is recognised that the new definitions require validation in specific clinical settings and have yet to be universally adopted. We aim to validate new Sepsis-3 guidelines in acute hepatobiliary infection. MATERIAL AND METHODS: A prospective cohort of patients admitted with acute hepatobiliary infection from the emergency department from July 2016 to June 2017 was studied. The Systemic Inflammatory Response Syndrome (SIRS) criteria, SOFA and qSOFA scores were calculated and predictive performance evaluated with area under the receiver operating characteristic (AUROC) curves for predictive ability of these indices for critical care unit admission and morbidity. RESULTS: 124 patients with a median age of 64.5 years and majority males (n = 75, 60.5%) were admitted with acute hepatobiliary infection during the study period. Acute cholecystitis was the most common admission diagnosis (n = 83, 66.9%) and most patients were managed in general ward (n = 91, 73.3%) with median length of stay of 6 days (range 1-40). On multivariate analysis, diabetes mellitus (p = 0.003) predicted high dependency unit (HDU) admission, while age (p = 0.001), positive blood culture (p = 0.012), positive fluid culture (p = 0.015) and SOFA score (p = 0.002) predicted length of hospital stay. The sensitivity of SIRS in predicting HDU admission (60% vs. 4%), intensive care unit (ICU) admission (62.5% vs. 0%) and morbidity (66.7% vs. 0%) was higher than qSOFA score. The specificity of qSOFA in predicting HDU admission (100% vs. 49.5%), ICU admission (99.1% vs. 53.3%) and morbidity (99.2% vs. 47.9%) was higher than SIRS criteria. CONCLUSION: The SIRS criteria has high sensitivity and the qSOFA score has high specificity in predicting outcomes of patients with acute hepatobiliary infection.


Asunto(s)
Enfermedades del Sistema Digestivo/diagnóstico , Guías de Práctica Clínica como Asunto/normas , Sepsis/diagnóstico , Síndrome de Respuesta Inflamatoria Sistémica/diagnóstico , Enfermedad Aguda , Adulto , Anciano , Anciano de 80 o más Años , Área Bajo la Curva , Colangitis/diagnóstico , Colecistitis Aguda/diagnóstico , Estudios de Cohortes , Servicio de Urgencia en Hospital , Femenino , Mortalidad Hospitalaria , Hospitalización , Humanos , Unidades de Cuidados Intensivos , Tiempo de Internación , Absceso Piógeno Hepático/diagnóstico , Masculino , Persona de Mediana Edad , Análisis Multivariante , Puntuaciones en la Disfunción de Órganos , Pronóstico , Estudios Prospectivos , Curva ROC , Sensibilidad y Especificidad , Adulto Joven
5.
Front Pediatr ; 6: 266, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-30327759

RESUMEN

Background: Recent attempts to translate Sepsis-3 criteria to children have been restricted to PICU patients and did not target children in emergency departments (ED). We assessed the prognostic accuracy of the age-adjusted quick Sequential Organ Failure Assessment score (qSOFA) and compared the performance to SIRS and the quick Pediatric Logistic Organ Dysfunction-2 score (qPELOD-2). We studied whether the addition of lactate (qSOFA-L) would increase prognostic accuracy. Methods: Non-academic, single-center, retrospective study in children visiting the ED and admitted with suspected bacterial infection between March 2013 and January 2018. We defined suspected bacterial infection as initiation of antibiotic therapy within 24 h after ED entry. Age-adjusted qSOFA, SIRS, qPELOD-2, and qSOFA-L scores were compared by area under the receiver operating characteristics curve (AUROC) analysis. Primary outcome measure was PICU transfer and/or mortality and secondary outcome was prolonged hospital length of stay. Results: We included 864 ED visits [474 (55%) male; median age 2.5 years; IQR 9 months-6 years], of which 18 were transferred to a PICU and 6 ended in death [composite outcome PICU transfer and/or mortality; 23 admissions (2.7%)]. 179 (22.2%) admissions resulted in prolonged hospital length of stay. PICU transfer and/or death was present in 22.5% of visits with qSOFA≥2 (n = 40) compared to 2.0% of visits with qSOFA<2 (n = 444) (p < 0.01). qSOFA tends to be the best predictor of PICU transfer and/or mortality (AUROC 0.72 (95% CI, 0.57-0.86) compared to SIRS [0.64 (95% CI, 0.53-0.74), p = 0.23] and qPELOD-2 [0.60 (95% CI, 0.45-0.76), p = 0.03)]. Prolonged hospital length of stay was poorly predicted by qSOFA (AUROC 0.53, 95% CI 0.46-0.59), SIRS (0.49, 95% CI 0.44-0.54), and qPELOD-2 (0.51, 95%CI 0.45-0.57). qSOFA-L resulted in an AUROC of 0.67 (95% CI, 0.50-0.84) for PICU transfer and/or mortality and an AUROC of 0.56 (95% CI, 0.46-0.67) for prolonged hospital length of stay. Conclusion: The currently proposed bedside risk-stratification tool of Sepsis-3 criteria, qSOFA, shows moderate prognostic accuracy for PICU transfer and/or mortality in children visiting the ED with suspected bacterial infection. The addition of lactate did not improve prognostic accuracy. Future prospective studies in larger ED populations are needed to further determine the utility of the qSOFA score.

6.
J Crit Care ; 41: 191-193, 2017 10.
Artículo en Inglés | MEDLINE | ID: mdl-28575814

RESUMEN

INTRODUCTION: The 2015 sepsis definitions suggest using the quick SOFA score for risk stratification of sepsis patients among other changes in sepsis definition. Our aim was to validate the q sofa score for diagnosing sepsis and comparing it to traditional scores of pre ICU admission sepsis outcome prediction such as EWS and SIRS in our setting in order to predict mortality and length of stay. METHODS: This was a retrospective cohort study. We retrospectively calculated the q sofa, SIRS and EWS scores of all ICU patients admitted with the diagnosis of sepsis at our center in 2015. This was analysed using STATA 12. Logistic regression and ROC curves were used for analysis in addition to descriptive analysis. RESULTS: 58 patients were included in the study. Based on our one year results we have shown that although q SOFA is more sensitive in predicting LOS in ICU of sepsis patients, the EWS score is more sensitive and specific in predicting mortality in the ICU of such patients when compared to q SOFA and SIRS scores. CONCLUSION: In conclusion, we find that in our setting, EWS is better than SIRS and q SOFA for predicting mortality and perhaps length of stay as well. The q Sofa score remains validated for diagnosis of sepsis.


Asunto(s)
Administración Hospitalaria/estadística & datos numéricos , Mortalidad Hospitalaria , Unidades de Cuidados Intensivos/estadística & datos numéricos , Tiempo de Internación/estadística & datos numéricos , Sepsis/diagnóstico , Índice de Severidad de la Enfermedad , Adulto , Anciano , Anciano de 80 o más Años , Femenino , Hospitalización , Humanos , Modelos Logísticos , Masculino , Persona de Mediana Edad , Oportunidad Relativa , Puntuaciones en la Disfunción de Órganos , Valor Predictivo de las Pruebas , Pronóstico , Curva ROC , Estudios Retrospectivos , Sepsis/mortalidad , Síndrome de Respuesta Inflamatoria Sistémica/diagnóstico , Adulto Joven
7.
Scand J Trauma Resusc Emerg Med ; 25(1): 56, 2017 Jun 09.
Artículo en Inglés | MEDLINE | ID: mdl-28599661

RESUMEN

BACKGROUND: We aimed to evaluate the clinical usefulness of qSOFA as a risk stratification tool for patients admitted with infection compared to traditional SIRS criteria or our triage system; the Rapid Emergency Triage and Treatment System (RETTS). METHODS: The study was an observational cohort study performed at one Emergency Department (ED) in an urban university teaching hospital in Norway, with approximately 20,000 visits per year. All patients >16 years presenting with symptoms or clinical signs suggesting an infection (n = 1535) were prospectively included in the study from January 1 to December 31, 2012. At arrival in the ED, vital signs were recorded and all patients were triaged according to RETTS vital signs, presenting infection, and sepsis symptoms. These admission data were also used to calculate qSOFA and SIRS. Treatment outcome was later retrieved from the patients' electronic records (EPR) and mortality data from the Norwegian population registry. RESULTS: Of the 1535 admitted patients, 108 (7.0%) fulfilled the Sepsis2 criteria for severe sepsis. The qSOFA score ≥2 identified only 33 (sensitivity 0.32, specificity 0.98) of the patients with severe sepsis, whilst the RETTS-alert ≥ orange identified 92 patients (sensitivity 0.85, specificity 0.55). Twenty-six patients died within 7 days of admission; four (15.4%) of them had a qSOFA ≥2, and 16 (61.5%) had RETTS ≥ orange alert. Of the 68 patients that died within 30 days, only eight (11.9%) scored ≥2 on the qSOFA, and 45 (66.1%) had a RETTS ≥ orange alert. DISCUSSION: In order to achieve timely treatment for sepsis, a sensitive screening tool is more important than a specific one. Our study is the fourth study were qSOFA finds few of the sepsis cases in prehospital or at arrival to the ED. We add information on the RETTS triage system, the two highest acuity levels together had a high sensitivity (85%) for identifying sepsis at arrival to the ED - and thus, RETTS should not be replaced by qSOFA as a screening and trigger tool for sepsis at arrival. CONCLUSION: In this observational cohort study, qSOFA failed to identify two thirds of the patients admitted to an ED with severe sepsis. Further, qSOFA failed to be a risk stratification tool as the sensitivity to predict 7-day and 30-day mortality was low. The sensitivity was poorer than the other warning scores already in use at the study site, RETTS-triage and the SIRS criteria.


Asunto(s)
Infecciones/diagnóstico , Sepsis/diagnóstico , Triaje , Adulto , Anciano , Anciano de 80 o más Años , Servicio de Urgencia en Hospital/estadística & datos numéricos , Femenino , Mortalidad Hospitalaria , Hospitalización/estadística & datos numéricos , Hospitales Universitarios/estadística & datos numéricos , Humanos , Infecciones/mortalidad , Masculino , Tamizaje Masivo , Persona de Mediana Edad , Noruega/epidemiología , Pronóstico , Estudios Prospectivos , Medición de Riesgo , Sepsis/mortalidad , Índice de Severidad de la Enfermedad , Síndrome de Respuesta Inflamatoria Sistémica/diagnóstico , Síndrome de Respuesta Inflamatoria Sistémica/mortalidad , Triaje/estadística & datos numéricos , Población Urbana
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