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You searched for:"Álvaro Koenig"
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Rev Bras Ter Intensiva. 2010;22(3):213-219
DOI 10.1590/S0103-507X2010000300001
OBJECTIVE: To analyze the economic impact of an early sepsis detection protocol in two general hospitals. METHODS: We analyzed data collected from a prospective study of septic patients before and after the implementation of a protocol for early diagnosis of severe sepsis. We conducted a cost-effectiveness analysis comparing: mortality rate, cost of sepsis treatment and indirect costs attributed to years of productive life lost to premature death in both phases. RESULTS: Two hundred seventeen patients were included, 102 in phase I and 115 in phase II. After protocol implementation, in private and public hospital, mortality rates decreased from 50% to 32.2% and from 67.6% to 41% (p < 0.05). The mean years of productive life lost due to sepsis decreased from 3.18 to 0.80 and 9.81 to 4.65 (p < 0.05), with a mean gain of 2.38 and 5.16 years of productive life, for each septic patient. Considering Brazilian gross domestic product per capita, estimated productivity loss due to sepsis decreased between 3.2 and 9.7 billion US dollars, varying based on the incidence of sepsis. Hospital costs were similar in both phases. CONCLUSION: A protocol for early detection and treatment of in-hospital septic patients is highly cost-effective from a societal perspective.
Abstract
Rev Bras Ter Intensiva. 2010;22(3):213-219
DOI 10.1590/S0103-507X2010000300001
OBJECTIVE: To analyze the economic impact of an early sepsis detection protocol in two general hospitals. METHODS: We analyzed data collected from a prospective study of septic patients before and after the implementation of a protocol for early diagnosis of severe sepsis. We conducted a cost-effectiveness analysis comparing: mortality rate, cost of sepsis treatment and indirect costs attributed to years of productive life lost to premature death in both phases. RESULTS: Two hundred seventeen patients were included, 102 in phase I and 115 in phase II. After protocol implementation, in private and public hospital, mortality rates decreased from 50% to 32.2% and from 67.6% to 41% (p < 0.05). The mean years of productive life lost due to sepsis decreased from 3.18 to 0.80 and 9.81 to 4.65 (p < 0.05), with a mean gain of 2.38 and 5.16 years of productive life, for each septic patient. Considering Brazilian gross domestic product per capita, estimated productivity loss due to sepsis decreased between 3.2 and 9.7 billion US dollars, varying based on the incidence of sepsis. Hospital costs were similar in both phases. CONCLUSION: A protocol for early detection and treatment of in-hospital septic patients is highly cost-effective from a societal perspective.
Abstract
Rev Bras Ter Intensiva. 2015;27(3):260-265
DOI 10.5935/0103-507X.20150047
>To evaluate the agreement between a new epidemiological surveillance method of the Center for Disease Control and Prevention and the clinical pulmonary infection score for mechanical ventilator-associated pneumonia detection.
This was a prospective cohort study that evaluated patients in the intensive care units of two hospitals who were intubated for more than 48 hours between August 2013 and June 2014. Patients were evaluated daily by physical therapist using the clinical pulmonary infection score. A nurse independently applied the new surveillance method proposed by the Center for Disease Control and Prevention. The diagnostic agreement between the methods was evaluated. A clinical pulmonary infection score of ≥ 7 indicated a clinical diagnosis of mechanical ventilator-associated pneumonia, and the association of a clinical pulmonary infection score ≥ 7 with an isolated semiquantitative culture consisting of ≥ 104 colony-forming units indicated a definitive diagnosis.
Of the 801 patients admitted to the intensive care units, 198 required mechanical ventilation. Of these, 168 were intubated for more than 48 hours. A total of 18 (10.7%) cases of mechanical ventilation-associated infectious conditions were identified, 14 (8.3%) of which exhibited possible or probable mechanical ventilatorassociated pneumonia, which represented 35% (14/38) of mechanical ventilator-associated pneumonia cases. The Center for Disease Control and Prevention method identified cases of mechanical ventilator-associated pneumonia with a sensitivity of 0.37, specificity of 1.0, positive predictive value of 1.0, and negative predictive value of 0.84. The differences resulted in discrepancies in the mechanical ventilator-associated pneumonia incidence density (CDC, 5.2/1000 days of mechanical ventilation; clinical pulmonary infection score ≥ 7, 13.1/1000 days of mechanical ventilation).
The Center for Disease Control and Prevention method failed to detect mechanical ventilatorassociated pneumonia cases and may not be satisfactory as a surveillance method.
Abstract
Rev Bras Ter Intensiva. 2015;27(3):260-265
DOI 10.5935/0103-507X.20150047
>To evaluate the agreement between a new epidemiological surveillance method of the Center for Disease Control and Prevention and the clinical pulmonary infection score for mechanical ventilator-associated pneumonia detection.
This was a prospective cohort study that evaluated patients in the intensive care units of two hospitals who were intubated for more than 48 hours between August 2013 and June 2014. Patients were evaluated daily by physical therapist using the clinical pulmonary infection score. A nurse independently applied the new surveillance method proposed by the Center for Disease Control and Prevention. The diagnostic agreement between the methods was evaluated. A clinical pulmonary infection score of ≥ 7 indicated a clinical diagnosis of mechanical ventilator-associated pneumonia, and the association of a clinical pulmonary infection score ≥ 7 with an isolated semiquantitative culture consisting of ≥ 104 colony-forming units indicated a definitive diagnosis.
Of the 801 patients admitted to the intensive care units, 198 required mechanical ventilation. Of these, 168 were intubated for more than 48 hours. A total of 18 (10.7%) cases of mechanical ventilation-associated infectious conditions were identified, 14 (8.3%) of which exhibited possible or probable mechanical ventilatorassociated pneumonia, which represented 35% (14/38) of mechanical ventilator-associated pneumonia cases. The Center for Disease Control and Prevention method identified cases of mechanical ventilator-associated pneumonia with a sensitivity of 0.37, specificity of 1.0, positive predictive value of 1.0, and negative predictive value of 0.84. The differences resulted in discrepancies in the mechanical ventilator-associated pneumonia incidence density (CDC, 5.2/1000 days of mechanical ventilation; clinical pulmonary infection score ≥ 7, 13.1/1000 days of mechanical ventilation).
The Center for Disease Control and Prevention method failed to detect mechanical ventilatorassociated pneumonia cases and may not be satisfactory as a surveillance method.
Abstract
Rev Bras Ter Intensiva. 2008;20(4):349-354
DOI 10.1590/S0103-507X2008000400006
OBJECTIVES: Drug interactions occur when effects and/or toxicity of a drug are affected by presence of another drug. They are usually unpredictable and undesirable. A study was conducted to verify the prevalence and clinical value of potential drug interactions in intensive care units METHODS: All patients, of three intensive care units were included in a cross-sectional study, over a period of two months. Patients with less than a 2 days length of stay were excluded. Data were collected from twenty-four hour prescriptions and all possible paired combinations drug-drug were recorded. Prevalence and clinical value (significance) were checked at the end of follow-up. RESULTS: One hundred and forty patients were analyzed, 67.1% presented with some significant potential drug interactions and of the 1069 prescriptions, 39.2% disclosed the same potential. Of 188 different potential drug interactions, 29 were considered highly significant. Univariate analysis showed that in the group with significant potential drug interactions a higher number of different drugs, drugs/day had been used, there were more prescribing physicians and extended stay in intensive care units. Adjusted to the multivariate logistic regression model, only the number of drugs/day correlated with increased risk of significant potential drug interaction (p = 0.0011) and, furthermore that use of more than 6 drugs/day increased relative risk by 9.8 times. CONCLUSIONS: Critically ill patients are submitted to high risk of potential drug interactions and the number of drugs/day has a high positive predictive value for these interactions. Therefore, it is imperative that critical care physicians be constantly alert to recognize this problem and provide appropriate mechanisms for management, thereby reducing adverse outcomes.
Abstract
Rev Bras Ter Intensiva. 2008;20(4):349-354
DOI 10.1590/S0103-507X2008000400006
OBJECTIVES: Drug interactions occur when effects and/or toxicity of a drug are affected by presence of another drug. They are usually unpredictable and undesirable. A study was conducted to verify the prevalence and clinical value of potential drug interactions in intensive care units METHODS: All patients, of three intensive care units were included in a cross-sectional study, over a period of two months. Patients with less than a 2 days length of stay were excluded. Data were collected from twenty-four hour prescriptions and all possible paired combinations drug-drug were recorded. Prevalence and clinical value (significance) were checked at the end of follow-up. RESULTS: One hundred and forty patients were analyzed, 67.1% presented with some significant potential drug interactions and of the 1069 prescriptions, 39.2% disclosed the same potential. Of 188 different potential drug interactions, 29 were considered highly significant. Univariate analysis showed that in the group with significant potential drug interactions a higher number of different drugs, drugs/day had been used, there were more prescribing physicians and extended stay in intensive care units. Adjusted to the multivariate logistic regression model, only the number of drugs/day correlated with increased risk of significant potential drug interaction (p = 0.0011) and, furthermore that use of more than 6 drugs/day increased relative risk by 9.8 times. CONCLUSIONS: Critically ill patients are submitted to high risk of potential drug interactions and the number of drugs/day has a high positive predictive value for these interactions. Therefore, it is imperative that critical care physicians be constantly alert to recognize this problem and provide appropriate mechanisms for management, thereby reducing adverse outcomes.
Abstract
Rev Bras Ter Intensiva. 2018;30(4):414-422
DOI 10.5935/0103-507X.20180059
To describe the improvements of an early warning system for the identification of septic patients on the time to diagnosis, antibiotic delivery, and mortality.
This was an observational cohort study that describes the successive improvements made over a period of 10 years using an early warning system to detect sepsis, including systematic active manual surveillance, electronic alerts via a telephonist, and alerts sent directly to the mobile devices of nurses. For all periods, after an alert was triggered, early treatment was instituted according to the institutional sepsis guidelines.
In total, 637 patients with sepsis were detected over the study period. The median triage-to-diagnosis time was reduced from 19:20 (9:10 - 38:15) hours to 12:40 (2:50 - 23:45) hours when the manual surveillance method was used (p = 0.14), to 2:10 (1:25 - 2:20) hours when the alert was sent automatically to the hospital telephone service (p = 0.014), and to 1:00 (0:30 - 1:10) hour when the alert was sent directly to the nurse's mobile phone (p = 0.016). The diagnosis-to-antibiotic time was reduced to 1:00 (0:55 - 1:30) hours when the alert was sent to the telephonist and to 0:45 (0:30 - 1:00) minutes when the alert was sent directly to the nurse's mobile phone (p = 0.02), with the maintenance of similar values over the following years. There was no difference in the time of treatment between survivors and non-survivors.
Electronic systems help reduce the triage-to-diagnosis time and diagnosis-to-antibiotic time in patients with sepsis.
Abstract
Rev Bras Ter Intensiva. 2018;30(4):414-422
DOI 10.5935/0103-507X.20180059
To describe the improvements of an early warning system for the identification of septic patients on the time to diagnosis, antibiotic delivery, and mortality.
This was an observational cohort study that describes the successive improvements made over a period of 10 years using an early warning system to detect sepsis, including systematic active manual surveillance, electronic alerts via a telephonist, and alerts sent directly to the mobile devices of nurses. For all periods, after an alert was triggered, early treatment was instituted according to the institutional sepsis guidelines.
In total, 637 patients with sepsis were detected over the study period. The median triage-to-diagnosis time was reduced from 19:20 (9:10 - 38:15) hours to 12:40 (2:50 - 23:45) hours when the manual surveillance method was used (p = 0.14), to 2:10 (1:25 - 2:20) hours when the alert was sent automatically to the hospital telephone service (p = 0.014), and to 1:00 (0:30 - 1:10) hour when the alert was sent directly to the nurse's mobile phone (p = 0.016). The diagnosis-to-antibiotic time was reduced to 1:00 (0:55 - 1:30) hours when the alert was sent to the telephonist and to 0:45 (0:30 - 1:00) minutes when the alert was sent directly to the nurse's mobile phone (p = 0.02), with the maintenance of similar values over the following years. There was no difference in the time of treatment between survivors and non-survivors.
Electronic systems help reduce the triage-to-diagnosis time and diagnosis-to-antibiotic time in patients with sepsis.
Abstract
Rev Bras Ter Intensiva. 2019;31(1):71-78
DOI 10.5935/0103-507X.20190013
To compare the clinical characteristics and outcomes of patients with community-acquired and hospital-acquired sepsis.
This is a retrospective cohort study that included all patients with a diagnosis of sepsis detected between January 2010 and December 2015 at a private hospital in southern Brazil. Outcomes (mortality, intensive care unit and hospital lengths of stay) were measured by analyzing electronic records.
There were 543 hospitalized patients with a diagnosis of sepsis, with a frequency of 90.5 (85 to 105) cases/year. Of these, 319 (58%) cases were classified as hospital-acquired sepsis. This group exhibited more severe disease and had a larger number of organ dysfunctions, with higher hospital [8 (8 - 10) versus 23 (20 - 27) days; p < 0.001] and intensive care unit [5 (4 - 7) versus 8.5 (7 - 10); p < 0.001] lengths of stay and higher in-hospital mortality (30.7% versus 15.6%; p < 0.001) than those with community-acquired sepsis. After adjusting for age, APACHE II scores, and hemodynamic and respiratory dysfunction, hospital-acquired sepsis remained associated with increased mortality (OR 1.96; 95%CI 1.15 - 3.32, p = 0.013).
The present results contribute to the definition of the epidemiological profile of sepsis in the sample studied, in which hospital-acquired sepsis was more severe and was associated with higher mortality.
Abstract
Rev Bras Ter Intensiva. 2019;31(1):71-78
DOI 10.5935/0103-507X.20190013
To compare the clinical characteristics and outcomes of patients with community-acquired and hospital-acquired sepsis.
This is a retrospective cohort study that included all patients with a diagnosis of sepsis detected between January 2010 and December 2015 at a private hospital in southern Brazil. Outcomes (mortality, intensive care unit and hospital lengths of stay) were measured by analyzing electronic records.
There were 543 hospitalized patients with a diagnosis of sepsis, with a frequency of 90.5 (85 to 105) cases/year. Of these, 319 (58%) cases were classified as hospital-acquired sepsis. This group exhibited more severe disease and had a larger number of organ dysfunctions, with higher hospital [8 (8 - 10) versus 23 (20 - 27) days; p < 0.001] and intensive care unit [5 (4 - 7) versus 8.5 (7 - 10); p < 0.001] lengths of stay and higher in-hospital mortality (30.7% versus 15.6%; p < 0.001) than those with community-acquired sepsis. After adjusting for age, APACHE II scores, and hemodynamic and respiratory dysfunction, hospital-acquired sepsis remained associated with increased mortality (OR 1.96; 95%CI 1.15 - 3.32, p = 0.013).
The present results contribute to the definition of the epidemiological profile of sepsis in the sample studied, in which hospital-acquired sepsis was more severe and was associated with higher mortality.