Original Articles - Clinical Research Archives - Critical Care Science (CCS)
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(2):115-122
DOI 10.5935/0103-507X.20130022
OBJECTIVE: To evaluate the effectiveness of an educational intervention on healthcare professionals' adherence to the technical recommendations for tracheobronchial aspiration in intensive care unit patients. METHODS: A quasi-experimental study was performed to evaluate intensive care unit professionals' adherence to the tracheobronchial aspiration technical recommendations in intensive care unit patients both before and after a theoretical and practical educational intervention. Comparisons were performed using the chi-square test, and the significance level was set to p<0.05. RESULTS: A total of 124 procedures, pre- and post-intervention, were observed. Increased adherence was observed in the following actions: the use of personal protective equipment (p=0.01); precaution when opening the catheter package (p<0.001); the use of a sterile glove on the dominant hand to remove the catheter (p=0.003); the contact of the sterile glove with the catheter only (p<0.001); the execution of circular movements during the catheter removal (p<0.001); wrapping the catheter in the sterile glove at the end of the procedure (p=0.003); the use of distilled water, opened at the start of the procedure, to wash the connection latex (p=0.002); the disposal of the leftover distilled water at the end of the procedure (p<0.001); and the performance of the aspiration technique procedures (p<0.001). CONCLUSION: There was a low adherence by health professionals to the preventive measures against hospital infection, indicating the need to implement educational strategies. The educational intervention used was shown to be effective in increasing adherence to the technical recommendations for tracheobronchial aspiration.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(2):115-122
DOI 10.5935/0103-507X.20130022
OBJECTIVE: To evaluate the effectiveness of an educational intervention on healthcare professionals' adherence to the technical recommendations for tracheobronchial aspiration in intensive care unit patients. METHODS: A quasi-experimental study was performed to evaluate intensive care unit professionals' adherence to the tracheobronchial aspiration technical recommendations in intensive care unit patients both before and after a theoretical and practical educational intervention. Comparisons were performed using the chi-square test, and the significance level was set to p<0.05. RESULTS: A total of 124 procedures, pre- and post-intervention, were observed. Increased adherence was observed in the following actions: the use of personal protective equipment (p=0.01); precaution when opening the catheter package (p<0.001); the use of a sterile glove on the dominant hand to remove the catheter (p=0.003); the contact of the sterile glove with the catheter only (p<0.001); the execution of circular movements during the catheter removal (p<0.001); wrapping the catheter in the sterile glove at the end of the procedure (p=0.003); the use of distilled water, opened at the start of the procedure, to wash the connection latex (p=0.002); the disposal of the leftover distilled water at the end of the procedure (p<0.001); and the performance of the aspiration technique procedures (p<0.001). CONCLUSION: There was a low adherence by health professionals to the preventive measures against hospital infection, indicating the need to implement educational strategies. The educational intervention used was shown to be effective in increasing adherence to the technical recommendations for tracheobronchial aspiration.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(2):99-105
DOI 10.5935/0103-507X.20130020
OBJECTIVE: To describe the epidemiological data of the clinical instability events in patients attended to by the rapid response team and to identify prognostic factors. METHODS: This was a longitudinal study, performed from January to July 2010, with an adult inpatient population in a hospital environment. The data collected regarding the code yellow service included the criteria of the clinical instability, the drug and non-drug therapies administered and the activities and procedures performed. The outcomes evaluated were the need for intensive care unit admission and the hospital mortality rates. A level of p=0.05 was considered to be significant. RESULTS: A total of 150 code yellow events that occurred in 104 patients were evaluated. The most common causes were related to acute respiratory insufficiency with hypoxia or a change in the respiratory rate and a concern of the team about the patient's clinical condition. It was necessary to request a transfer to the intensive care unit in 80 of the 150 cases (53.3%). It was necessary to perform 42 procedures. The most frequent procedures were orotracheal intubation and the insertion of a central venous catheter. The patients who were in critical condition and had to wait for an intensive care unit bed had a higher risk of death compared to the other patients (hazard ratio: 3.12; 95% CI: 1.80-5.40; p<0.001). CONCLUSIONS: There are patients in critical condition that require expert intensive care in the regular ward unit hospital beds. The events that most frequently led to the code yellow activation were related to hemodynamic and respiratory support. The interventions performed indicate the need for a physician on the team. The situation of pent-up demand is associated with a higher mortality rate.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(2):99-105
DOI 10.5935/0103-507X.20130020
OBJECTIVE: To describe the epidemiological data of the clinical instability events in patients attended to by the rapid response team and to identify prognostic factors. METHODS: This was a longitudinal study, performed from January to July 2010, with an adult inpatient population in a hospital environment. The data collected regarding the code yellow service included the criteria of the clinical instability, the drug and non-drug therapies administered and the activities and procedures performed. The outcomes evaluated were the need for intensive care unit admission and the hospital mortality rates. A level of p=0.05 was considered to be significant. RESULTS: A total of 150 code yellow events that occurred in 104 patients were evaluated. The most common causes were related to acute respiratory insufficiency with hypoxia or a change in the respiratory rate and a concern of the team about the patient's clinical condition. It was necessary to request a transfer to the intensive care unit in 80 of the 150 cases (53.3%). It was necessary to perform 42 procedures. The most frequent procedures were orotracheal intubation and the insertion of a central venous catheter. The patients who were in critical condition and had to wait for an intensive care unit bed had a higher risk of death compared to the other patients (hazard ratio: 3.12; 95% CI: 1.80-5.40; p<0.001). CONCLUSIONS: There are patients in critical condition that require expert intensive care in the regular ward unit hospital beds. The events that most frequently led to the code yellow activation were related to hemodynamic and respiratory support. The interventions performed indicate the need for a physician on the team. The situation of pent-up demand is associated with a higher mortality rate.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(2):93-98
DOI 10.5935/0103-507X.20130019
OBJECTIVE: 1) To evaluate the functional independence measures immediately after discharge from an intensive care unit and to compare these values with the FIMs 30 days after that period. 2) To evaluate the possible associated risk factors. METHODS: The present investigation was a prospective cohort study that included individuals who were discharged from the intensive care unit and underwent physiotherapy in the unit. Functional independence was evaluated using the functional independence measure immediately upon discharge from the intensive care unit and 30 days thereafter via a phone call. The patients were admitted to the Hospital Santa Clara intensive care unit during the period from May 2011 to August 2011. RESULTS: During the predetermined period of data collection, 44 patients met the criteria for inclusion in the study. The mean age of the patients was 55.4±10.5 years. Twenty-seven of the subjects were female, and 15 patients were admitted due to pulmonary disease. The patients exhibited an functional independence measure of 84.1±24.2. When this measure was compared to the measure at 30 days after discharge, there was improvement across the functional independence variables except for that concerned with sphincter control. There were no significant differences when comparing the gender, age, clinical diagnosis, length of stay in the intensive care unit, duration of mechanical ventilation, and the presence of sepsis during this period. CONCLUSION: Functional independence, as evaluated by the functional independence measure scale, was improved at 30 days after discharge from the intensive care unit, but it was not possible to define the potentially related factors.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(2):93-98
DOI 10.5935/0103-507X.20130019
OBJECTIVE: 1) To evaluate the functional independence measures immediately after discharge from an intensive care unit and to compare these values with the FIMs 30 days after that period. 2) To evaluate the possible associated risk factors. METHODS: The present investigation was a prospective cohort study that included individuals who were discharged from the intensive care unit and underwent physiotherapy in the unit. Functional independence was evaluated using the functional independence measure immediately upon discharge from the intensive care unit and 30 days thereafter via a phone call. The patients were admitted to the Hospital Santa Clara intensive care unit during the period from May 2011 to August 2011. RESULTS: During the predetermined period of data collection, 44 patients met the criteria for inclusion in the study. The mean age of the patients was 55.4±10.5 years. Twenty-seven of the subjects were female, and 15 patients were admitted due to pulmonary disease. The patients exhibited an functional independence measure of 84.1±24.2. When this measure was compared to the measure at 30 days after discharge, there was improvement across the functional independence variables except for that concerned with sphincter control. There were no significant differences when comparing the gender, age, clinical diagnosis, length of stay in the intensive care unit, duration of mechanical ventilation, and the presence of sepsis during this period. CONCLUSION: Functional independence, as evaluated by the functional independence measure scale, was improved at 30 days after discharge from the intensive care unit, but it was not possible to define the potentially related factors.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(2):130-136
DOI 10.5935/0103-507X.20130024
OBJECTIVE: To examine the factors associated with acute kidney injury and outcome in patients with lung disease. METHODS: A prospective study was conducted with 100 consecutive patients admitted to a respiratory intensive care unit in Fortaleza (CE), Brazil. The risk factors for acute kidney injury and mortality were investigated in a group of patients with lung diseases. RESULTS: The mean age of the study population was 57 years, and 50% were male. The incidence of acute kidney injury was higher in patients with PaO2/FiO2<200 mmHg (54% versus 23.7%; p=0.02). Death was observed in 40 cases and the rate of mortality of the acute kidney injury group was higher (62.8% versus 27.6%; p=0.01). The independent factor that was found to be associated with acute kidney injury was PaO2/FiO2<200 mmHg (p=0.01), and the independent risk factors for death were PEEP at admission (OR: 3.6; 95%CI: 1.3-9.6; p=0.009) and need for hemodialysis (OR: 7.9; 95%CI: 2.2-28.3; p=0.001). CONCLUSION: There was a higher mortality rate in the acute kidney injury group. Increased mortality was associated with mechanical ventilation, high PEEP, urea and need for dialysis. Further studies must be performed to better establish the relationship between kidney and lung injury and its impact on patient outcome.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(2):130-136
DOI 10.5935/0103-507X.20130024
OBJECTIVE: To examine the factors associated with acute kidney injury and outcome in patients with lung disease. METHODS: A prospective study was conducted with 100 consecutive patients admitted to a respiratory intensive care unit in Fortaleza (CE), Brazil. The risk factors for acute kidney injury and mortality were investigated in a group of patients with lung diseases. RESULTS: The mean age of the study population was 57 years, and 50% were male. The incidence of acute kidney injury was higher in patients with PaO2/FiO2<200 mmHg (54% versus 23.7%; p=0.02). Death was observed in 40 cases and the rate of mortality of the acute kidney injury group was higher (62.8% versus 27.6%; p=0.01). The independent factor that was found to be associated with acute kidney injury was PaO2/FiO2<200 mmHg (p=0.01), and the independent risk factors for death were PEEP at admission (OR: 3.6; 95%CI: 1.3-9.6; p=0.009) and need for hemodialysis (OR: 7.9; 95%CI: 2.2-28.3; p=0.001). CONCLUSION: There was a higher mortality rate in the acute kidney injury group. Increased mortality was associated with mechanical ventilation, high PEEP, urea and need for dialysis. Further studies must be performed to better establish the relationship between kidney and lung injury and its impact on patient outcome.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(1):44-48
DOI 10.1590/S0103-507X2013000100009
OBJECTIVE: To evaluate the effectiveness of a tongue cleaner in the removal of tongue biofilm in mechanically ventilated patients. METHODS: Tongue biofilm and tracheal secretion samples were collected from a total of 50 patients: 27 in the study group (SG) who were intubated or tracheostomized under assisted ventilation and treated with the tongue cleaner and 23 in the control group (CG) who did not undergo tongue cleaning. Oral and tracheal secretion cultures of the SG (initially and after 5 days) and the CG (at a single time-point) were performed to evaluate the changes in bacterial flora. RESULTS: The median age of the SG patients was 77 years (45-99 years), and that of the CG patients was 79 years (21-94 years). The length of hospital stay ranged from 17-1,370 days for the SG with a median stay of 425 days and from 4-240 days for the CG with a median stay of 120 days. No significant differences were found when the dental plaque indexes were compared between the SG and the CG. There was no correlation between the index and the length of hospital stay. The same bacterial flora was found in the dental plaque of 9 of the 27 SG patients before and after the tongue scraper was used for 5 days compared with the CG (p=0.683). Overall, 7 of the 27 SG patients had positive bacterial cultures for the same strains in both tongue biofilm and tracheal secretions compared with the CG (p=0.003). Significant similarities in strain resistance and susceptibility of the assessed microorganisms were observed between oral and tracheal microflora in 6/23 cases in the CG (p=0.006). CONCLUSION: The use of a tongue cleaner is effective at reducing tongue biofilm in patients on mechanical ventilation and facilitates oral hygiene interventions performed by caregivers.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(1):44-48
DOI 10.1590/S0103-507X2013000100009
OBJECTIVE: To evaluate the effectiveness of a tongue cleaner in the removal of tongue biofilm in mechanically ventilated patients. METHODS: Tongue biofilm and tracheal secretion samples were collected from a total of 50 patients: 27 in the study group (SG) who were intubated or tracheostomized under assisted ventilation and treated with the tongue cleaner and 23 in the control group (CG) who did not undergo tongue cleaning. Oral and tracheal secretion cultures of the SG (initially and after 5 days) and the CG (at a single time-point) were performed to evaluate the changes in bacterial flora. RESULTS: The median age of the SG patients was 77 years (45-99 years), and that of the CG patients was 79 years (21-94 years). The length of hospital stay ranged from 17-1,370 days for the SG with a median stay of 425 days and from 4-240 days for the CG with a median stay of 120 days. No significant differences were found when the dental plaque indexes were compared between the SG and the CG. There was no correlation between the index and the length of hospital stay. The same bacterial flora was found in the dental plaque of 9 of the 27 SG patients before and after the tongue scraper was used for 5 days compared with the CG (p=0.683). Overall, 7 of the 27 SG patients had positive bacterial cultures for the same strains in both tongue biofilm and tracheal secretions compared with the CG (p=0.003). Significant similarities in strain resistance and susceptibility of the assessed microorganisms were observed between oral and tracheal microflora in 6/23 cases in the CG (p=0.006). CONCLUSION: The use of a tongue cleaner is effective at reducing tongue biofilm in patients on mechanical ventilation and facilitates oral hygiene interventions performed by caregivers.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(1):32-38
DOI 10.1590/S0103-507X2013000100007
OBJECTIVES: Identify patients at risk for intensive care unit readmission, the reasons for and rates of readmission, and mortality after their stay in the intensive care unit; describe the sensitivity and specificity of the Stability and Workload Index for Transfer scale as a criterion for discharge from the intensive care unit. METHODS: Adult, critical patients from intensive care units from two public hospitals in Porto Alegre, Brazil, comprised the sample. The patients' clinical and demographic characteristics were collected within 24 hours of admission. They were monitored until their final outcome on the intensive care unit (death or discharge) to apply the Stability and Workload Index for Transfer. The deaths during the first intensive care unit admission were disregarded, and we continued monitoring the other patients using the hospitals' electronic systems to identify the discharges, deaths, and readmissions. RESULTS: Readmission rates were 13.7% in intensive care unit 1 (medical-surgical, ICU1) and 9.3% in intensive care unit 2 (trauma and neurosurgery, ICU2). The death rate following discharge was 12.5% from ICU1 and 4.2% from ICU2. There was a statistically significant difference in Stability and Workload Index for Transfer (p<0.05) regarding the ICU1 patients' outcome, which was not found in the ICU2 patients. In ICU1, 46.5% (N=20) of patients were readmitted very early (within 48 hours of discharge). Mortality was high among those readmitted: 69.7% in ICU1 and 48.5% in ICU2. CONCLUSIONS: The Stability and Workload Index for Transfer scale showed greater efficacy in identifying patients more prone to readmission and death following discharge from a medical-surgical intensive care unit. The patients' intensive care unit readmission during the same hospitalization resulted in increased morbidity, mortality, length of stay, and total costs.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(1):32-38
DOI 10.1590/S0103-507X2013000100007
OBJECTIVES: Identify patients at risk for intensive care unit readmission, the reasons for and rates of readmission, and mortality after their stay in the intensive care unit; describe the sensitivity and specificity of the Stability and Workload Index for Transfer scale as a criterion for discharge from the intensive care unit. METHODS: Adult, critical patients from intensive care units from two public hospitals in Porto Alegre, Brazil, comprised the sample. The patients' clinical and demographic characteristics were collected within 24 hours of admission. They were monitored until their final outcome on the intensive care unit (death or discharge) to apply the Stability and Workload Index for Transfer. The deaths during the first intensive care unit admission were disregarded, and we continued monitoring the other patients using the hospitals' electronic systems to identify the discharges, deaths, and readmissions. RESULTS: Readmission rates were 13.7% in intensive care unit 1 (medical-surgical, ICU1) and 9.3% in intensive care unit 2 (trauma and neurosurgery, ICU2). The death rate following discharge was 12.5% from ICU1 and 4.2% from ICU2. There was a statistically significant difference in Stability and Workload Index for Transfer (p<0.05) regarding the ICU1 patients' outcome, which was not found in the ICU2 patients. In ICU1, 46.5% (N=20) of patients were readmitted very early (within 48 hours of discharge). Mortality was high among those readmitted: 69.7% in ICU1 and 48.5% in ICU2. CONCLUSIONS: The Stability and Workload Index for Transfer scale showed greater efficacy in identifying patients more prone to readmission and death following discharge from a medical-surgical intensive care unit. The patients' intensive care unit readmission during the same hospitalization resulted in increased morbidity, mortality, length of stay, and total costs.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(1):17-24
DOI 10.1590/S0103-507X2013000100005
OBJECTIVE: Evaluate the compliance of septic patients' nutritional management with enteral nutrition guidelines for critically ill patients. METHODS: Prospective cohort study with 92 septic patients, age ≥18 years, hospitalized in an intensive care unit, under enteral nutrition, evaluated according to enteral nutrition guidelines for critically ill patients, compliance with caloric and protein goals, and reasons for not starting enteral nutrition early or for discontinuing it. Prognostic scores, length of intensive care unit stay, clinical progression, and nutritional status were also analyzed. RESULTS: The patients had a mean age of 63.4±15.1 years, were predominantly male, were diagnosed predominantly with septic shock (56.5%), had a mean intensive care unit stay of 11 (7.2 to 18.0) days, had 8.2±4.2 SOFA and 24.1±9.6 APACHE II scores, and had 39.1% mortality. Enteral nutrition was initiated early in 63% of patients. Approximately 50% met the caloric and protein goals on the third day of intensive care unit stay, a percentage that decreased to 30% at day 7. Reasons for the late start of enteral nutrition included gastrointestinal tract complications (35.3%) and hemodynamic instability (32.3%). Clinical procedures were the most frequent reason to discontinue enteral nutrition (44.1%). There was no association between compliance with the guidelines and nutritional status, length of intensive care unit stay, severity, or progression. CONCLUSION: Although the number of septic patients under early enteral nutrition was significant, caloric and protein goals at day 3 of intensive care unit stay were met by only half of them, a percentage that decreased at day 7.
Abstract
Revista Brasileira de Terapia Intensiva. 2013;25(1):17-24
DOI 10.1590/S0103-507X2013000100005
OBJECTIVE: Evaluate the compliance of septic patients' nutritional management with enteral nutrition guidelines for critically ill patients. METHODS: Prospective cohort study with 92 septic patients, age ≥18 years, hospitalized in an intensive care unit, under enteral nutrition, evaluated according to enteral nutrition guidelines for critically ill patients, compliance with caloric and protein goals, and reasons for not starting enteral nutrition early or for discontinuing it. Prognostic scores, length of intensive care unit stay, clinical progression, and nutritional status were also analyzed. RESULTS: The patients had a mean age of 63.4±15.1 years, were predominantly male, were diagnosed predominantly with septic shock (56.5%), had a mean intensive care unit stay of 11 (7.2 to 18.0) days, had 8.2±4.2 SOFA and 24.1±9.6 APACHE II scores, and had 39.1% mortality. Enteral nutrition was initiated early in 63% of patients. Approximately 50% met the caloric and protein goals on the third day of intensive care unit stay, a percentage that decreased to 30% at day 7. Reasons for the late start of enteral nutrition included gastrointestinal tract complications (35.3%) and hemodynamic instability (32.3%). Clinical procedures were the most frequent reason to discontinue enteral nutrition (44.1%). There was no association between compliance with the guidelines and nutritional status, length of intensive care unit stay, severity, or progression. CONCLUSION: Although the number of septic patients under early enteral nutrition was significant, caloric and protein goals at day 3 of intensive care unit stay were met by only half of them, a percentage that decreased at day 7.
Abstract
Revista Brasileira de Terapia Intensiva. 2012;24(4):341-346
DOI 10.1590/S0103-507X2012000400008
OBJECTIVE: To examine the reliability of the SF-36 general health questionnaire when used to evaluate the health status of critically ill patients before admission to intensive care and to measure their health-related quality of life prior to admission and its relation to severity of illness and length of stay in the intensive care unit. METHODS: Prospective cohort study conducted in the intensive care unit of a public teaching hospital. Over three months, communicative and oriented patients were interviewed within the first 72 hours of intensive care unit admission; 91 individuals participated. The APACHE II score was used to assess severity of illness, and the SF-36 questionnaire was used to measure health-related quality of life. RESULTS: The reliability of SF-36 was verified in all dimensions using Cronbach's alpha coefficient. In six dimensions of eight domains the value exceeded 0.70. The average SF-36 scores of the health-related quality of life dimensions for the patients before admission to intensive care unit were 57.8 for physical functioning, 32.4 for role-physical, 53.0 for bodily pain, 63.2 for general health, 50.6 for vitality, 56.2 for social functioning, 54.6 for role-emotional and 60.3 for mental health. The correlations between severity of illness and length of stay and the health-related quality of life scores were very low, ranging from -0.152 to 0.175 and -0.158 to 0.152, respectively, which were not statistically significant. CONCLUSION: In the sample studied, the SF-36 demonstrated good reliability when used to measure health-related quality of life in critically ill patients before admission to the intensive care unit. The worst score was role-physical and the best was general health. Health-related quality of life of patients before admission was not correlated with severity of illness or length of stay in the intensive care unit.
Abstract
Revista Brasileira de Terapia Intensiva. 2012;24(4):341-346
DOI 10.1590/S0103-507X2012000400008
OBJECTIVE: To examine the reliability of the SF-36 general health questionnaire when used to evaluate the health status of critically ill patients before admission to intensive care and to measure their health-related quality of life prior to admission and its relation to severity of illness and length of stay in the intensive care unit. METHODS: Prospective cohort study conducted in the intensive care unit of a public teaching hospital. Over three months, communicative and oriented patients were interviewed within the first 72 hours of intensive care unit admission; 91 individuals participated. The APACHE II score was used to assess severity of illness, and the SF-36 questionnaire was used to measure health-related quality of life. RESULTS: The reliability of SF-36 was verified in all dimensions using Cronbach's alpha coefficient. In six dimensions of eight domains the value exceeded 0.70. The average SF-36 scores of the health-related quality of life dimensions for the patients before admission to intensive care unit were 57.8 for physical functioning, 32.4 for role-physical, 53.0 for bodily pain, 63.2 for general health, 50.6 for vitality, 56.2 for social functioning, 54.6 for role-emotional and 60.3 for mental health. The correlations between severity of illness and length of stay and the health-related quality of life scores were very low, ranging from -0.152 to 0.175 and -0.158 to 0.152, respectively, which were not statistically significant. CONCLUSION: In the sample studied, the SF-36 demonstrated good reliability when used to measure health-related quality of life in critically ill patients before admission to the intensive care unit. The worst score was role-physical and the best was general health. Health-related quality of life of patients before admission was not correlated with severity of illness or length of stay in the intensive care unit.