Unidade de Urgência Médica
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- Nutritional Risk Assessment and Cultural Validation of the Modified NUTRIC Score in Critically Ill Patients-A Multicenter Prospective Cohort StudyPublication . Mendes, R; Policarpo, S; Fortuna, P; Alves, M; Virella, D; Heyland, DPURPOSE: Characterize the nutritional risk of critically ill patients with the modified NUTrition Risk in the Critically ill (NUTRIC) score. MATERIALS: National, multicenter, prospective, observational study conducted in 15 polyvalent Portuguese intensive care unit (ICU), during 6 months. Adult patients were eligible. Those transferred from another ICU or readmitted, brain dead at admission, and with length of ICU stay (LOS) of 72 hours or less were excluded. NUTRIC score was calculated at admission; scores ≥5 represent a high nutritional risk. Main outcome was mortality from all causes at 28 days after admission to the ICU; LOS and days without mechanical ventilation (days free of MV) were secondary outcomes. RESULTS: From 2061 admissions, 1143 patients were considered, mostly males (n = 744, 64.7%) with median (P25-P75) age of 64 (51-75). Patients at high nutritional risk were 555 (48.6%). High NUTRIC score was associated with longer LOS (P < .001), less days free of MV (P = .002) and higher 28-day mortality (P < .001). The area under the curve of NUTRIC score ≥5 for predicting 28-day mortality was 0.658 (95% CI, 0.620-0.696). NUTRIC score ≥5 had a positive predictive value 32.7% and a negative predictive value 88.8% for 28-day mortality. CONCLUSIONS: Almost half of the patients in Portuguese ICUs are at high nutritional risk. NUTRIC score was strongly associated with main clinical outcomes.
- Quality of Life and Performance Status after Cardiopulmonary Resuscitation: A Study in Cova da Beira University Hospital Center's Intensive Care Unit.Publication . Rodrigues Pratas, Cláudia Raquel; Veiga do Coxo, Cristina Maria; Gonçalves Branco, Vítor Alexandre; Castelo-Branco, MiguelIntroduction and objectives: Cardiac arrest (CA) is associated with high morbidity and mortality. Many studies focus on survival, but few explore the outcomes. The aim of this study is to analyze the survival curve, independence, quality of life, and performance status after CA. Methods: This retrospective study included adults admitted to the intensive care unit of Cova da Beira University Hospital Center after CA between 2015 and 2019. We analyzed patient records and applied a questionnaire including EuroQoL's EQ-5D-3L and ECOG performance status. Results: Ninety-seven patients were included (mean age 75.74 years). Thirty-one patients (32.0%) survived to hospital discharge. There was a significant loss of independence for activities of daily living, with 50.0% of those previously independent becoming dependent and 47.5% of those previously at home being institutionalized. Diabetes, female gender, and length of hospital stay were especially impactful on these findings. One year after CA, only 20.6% were alive and only 13.4% (65% of the one-year survivors) were independent. Nine patients answered our questionnaire. Mean EQ-5D quality of life index (0.528±0.297) and the most affected domains ('Pain/discomfort' and 'Anxiety/depression') were similar to the Portuguese population aged >30 years. However, 66.6% reported a decline in their quality of life. Lastly, seven respondents had a good performance status (ECOG 0-1). Conclusions: There was a significant loss of independence after CA. Moreover, despite the acceptable performance status and the quality of life results being similar to the general population, there was a perceived deterioration post-CA. Ultimately, we emphasize the need to improve care for these patients.
- The Accuracy of PiCCO® in Measuring Cardiac Output in Patients Under Therapeutic Hypothermia: Comparison With Transthoracic EchocardiographyPublication . Souto Moura, T; Aguiar Rosa, S; Germano, N; Cavaco, R; Sequeira, T; Alves, M; Papoila, AL; Bento, LBackground: Invasive cardiac monitoring using thermodilution methods such as PiCCO® is widely used in critically ill patients and provides a wide range of hemodynamic variables, including cardiac output (CO). However, in post-cardiac arrest patients subjected to therapeutic hypothermia, the low body temperature possibly could interfere with the technique. Transthoracic Doppler echocardiography (ECHO) has long proved its accuracy in estimating CO, and is not influenced by temperature changes. Objective: To assess the accuracy of PiCCO® in measuring CO in patients under therapeutic hypothermia, compared with ECHO. Design and patients: Thirty paired COECHO/COPiCCO measurements were analyzed in 15 patients subjected to hypothermia after cardiac arrest. Eighteen paired measurements were obtained at under 36°C and 12 at ≥36°C. A value of 0.5l/min was considered the maximum accepted difference between the COECHO and COPiCCO values. Results: Under conditions of normothermia (≥36°C), the mean difference between COECHO and COPiCCO was 0.030 l/min, with limits of agreement (-0.22, 0.28) - all of the measurements differing by less than 0.5 l/min. In situations of hypothermia (<36°C), the mean difference in CO measurements was -0.426 l/min, with limits of agreement (-1.60, 0.75), and only 44% (8/18) of the paired measurements fell within the interval (-0.5, 0.5). The calculated temperature cut-off point maximizing specificity was 35.95°C: above this temperature, specificity was 100%, with a false-positive rate of 0%. Conclusions: The results clearly show clinically relevant discordance between COECHO and COPiCCO at temperatures of <36°C, demonstrating the inaccuracy of PiCCO® for cardiac output measurements in hypothermic patients.
- Time of Admission to Intensive Care Unit, Strained Capacity, and Mortality: a Retrospective Cohort StudyPublication . Sousa Cardoso, F; Germano, N; Bento, L; Fortuna, PPurpose: We sought to study the association between afterhours ICU admission and ICU mortality considering measures of strained ICU capacity. Materials and methods: Retrospective analysis of 4141 admissions to 2 ICUs in Lisbon, Portugal (06/2016-06/2018). Primary exposure was ICU admission on 20:00 h-07:59 h. Primary outcome was ICU mortality. Measures of strained ICU capacity were: bed occupancy rate ≥ 90% and cluster of ICU admissions 2 h before or following index admission. Results: There were 1581 (38.2%) afterhours ICU admissions. Median APACHE II score (19 vs. 20) was similar between patients admitted afterhours and others (P = .27). Patients admitted afterhours had higher crude ICU mortality (15.4% vs. 21.9%; P < .001), but similar adjusted ICU mortality (aOR [95%CI] = 1.15 [0.97-1.38]; P = .12). While bed occupancy rate ≥ 90% was more frequent in patients admitted afterhours (23.1% vs. 29.1%) or deceased in ICU (23.6% vs. 33.7%), cluster of ICU admissions was more frequent in patients admitted during daytime hours (75.2% vs. 58.9%) or that survived the ICU stay (70.1% vs. 63.9%; P ≤ .001 for all). These measures of strained ICU capacity were not associated with adjusted ICU mortality (P ≥ .10 for both). Conclusions: Afterhours ICU admission and measures of strained ICU capacity were associated with crude but not adjusted ICU mortality.