Bispectral index monitoring for sedation in scheduled adult colonoscopy: A randomized controlled trial.

BACKGROUND: Patients should be closely monitored during procedures under sedation outside the operating room, but it is unclear which type of monitoring is best. We investigated the efficacy and safety of BIS monitoring vs conventional monitoring for sedation during colonoscopy. METHODS: We performed a double-blind clinical trial in 180 patients undergoing elective colonoscopy. Patients were randomized to 1) the BIS group or 2) a control group, in which sedation was monitored with a BIS monitor or the Ramsay Sedation Score, respectively. The primary outcome was the rate of sedation-induced adverse events in both groups. Secondary outcomes were the characteristics of patients who developed adverse events, and time during colonoscopy when these events occurred, propofol and remifentanil dosage, and patient satisfaction. RESULTS: Univariate analysis showed fewer cardiopulmonary complications in the BIS group (41.11% vs 57.78% in controls; p = 0.02). Multivariate analysis found a significantly higher risk of adverse events in older patients (95% CI, 1.013-1.091; p = 0.0087) and in men (95% CI, 1.129-7.668; p = 0.0272). These events were observed at the hepatic flexure. No significant differences between propofol or remifentanil dosage, use of rescue medication, and patient satisfaction were observed between groups. CONCLUSIONS: Our data suggest that BIS monitoring during sedation in scheduled colonoscopies reduces adverse respiratory events. Although its routine use in sedation does not appear to be warranted, clinicians should take steps to identify patients with a higher risk of complications who might benefit from this type of monitoring.

Factores de riesgo de deterioro clínico en pacientes ingresados por COVID-19: estudio caso-control / Risk factors for clinical deterioration in patients admitted for COVID-19: A case-control study

Introducción: Existe controversia sobre los mejores factores predictores de deterioro clínico en la COVID-19. Objetivo: Identificar factores predictores de riesgo de deterioro en pacientes hospitalizados por COVID-19. Métodos Diseño: caso-control anidado dentro de una cohorte. Ámbito: 13 centros de agudos de Osakidetza-Servicio Vasco de Salud. Participantes: se consideró casos a pacientes hospitalizados por COVID-19 con deterioro clínico, definido como la aparición de síndrome de distrés respiratorio del adulto grave, ingreso en UCI o fallecimiento. Se emparejaron 2controles por caso en función de la edad. Se recogieron variables sociodemográficas, comorbilidades, tratamientos basales, síntomas y fecha de inicio, consultas previas, así como variables clínicas, analíticas y radiológicas. Se creó un modelo explicativo del deterioro clínico mediante regresión logística condicional. Resultados: Se incluyeron 99 casos y 198 controles. Mediante análisis de regresión logística las variables independientes asociadas con deterioro clínico fueron: saturación de O2 en Urgencias ≤ 90% (OR=16,6, IC del 95%, 4-68), radiografía de tórax patológica (OR=5,6, IC del 95%, 1,7-18,4), PCR> 100mg/dL (OR=3,62, IC del 95% 1,62-8) y trombocitopenia <150.000 plaquetas (OR=4, IC del 95%, 1,84-8,6) y, entre los antecedentes, haber padecido infarto agudo de miocardio (OR=15,7, IC del 95%, 3,29-75,09), EPOC (OR=3,05, IC del 95%, 1,43-6,5) o hipertensión arterial (OR=2,21, IC del 95%1,11-4,4). El área bajo la curva alcanzado por el modelo fue 0,86. En el análisis univariado, se asociaron con mejor evolución clínica el sexo femenino, la presencia de tos seca y dolor de garganta, pero no resultaron significativas en el análisis multivariado. Conclusiós:Las variables identificadas podrían ser de utilidad en la práctica clínica para la detección de pacientes con alto riesgo de mala evolución (AU)

Introduction: There is controversy regarding the best predictors of clinical deterioration in COVID-19. Objective: This work aims to identify predictors of risk factors for deterioration in patients hospitalized due to COVID-19. Methods Design: Nested case-control study within a cohort. Setting: 13 acute care centers of the Osakidetza-Basque Health Service. Participants: Patients hospitalized for COVID-19 with clinical deterioration—defined as onset of severe ARDS, ICU admission, or death—were considered cases. Two controls were matched to each case based on age. Sociodemographic data; comorbidities; baseline treatment; symptoms; date of onset; previous consultations; and clinical, analytical, and radiological variables were collected. An explanatory model of clinical deterioration was created by means of conditional logistic regression. Results: A total of 99 cases and 198 controls were included. According to the logistic regression analysis, the independent variables associated with clinical deterioration were: emergency department O2 saturation ≤90% (OR 16.6; 95%CI 4-68), pathological chest X-ray (OR 5.6; 95%CI 1.7-18.4), CRP>100mg/dL (OR 3.62; 95%CI 1.62-8), thrombocytopenia with <150,000 platelets (OR 4; 95%CI 1.84-8.6); and a medical history of acute myocardial infarction (OR 15.7; 95%CI, 3.29-75.09), COPD (OR 3.05; 95%CI 1.43-6.5), or HT (OR 2.21; 95%CI 1.11-4.4). The model's AUC was 0.86. On the univariate analysis, female sex and presence of dry cough and sore throat were associated with better clinical progress, but were not found to be significant on the multivariate analysis. Conclusion: The variables identified could be useful in clinical practice for the detection of patients at high risk of poor outcomes (AU)

Risk factors for clinical deterioration in patients admitted for COVID-19: A case-control study.

INTRODUCTION: There is controversy regarding the best predictors of clinical deterioration in COVID-19. OBJECTIVE: This work aims to identify predictors of risk factors for deterioration in patients hospitalized due to COVID-19. METHODS DESIGN: Nested case-control study within a cohort. SETTING: 13 acute care centers of the Osakidetza-Basque Health Service. PARTICIPANTS: patients hospitalized for COVID-19 with clinical deterioration-defined as onset of severe ARDS, ICU admission, or death-were considered cases. Two controls were matched to each case based on age. Sociodemographic data; comorbidities; baseline treatment; symptoms; date of onset; previous consultations; and clinical, analytical, and radiological variables were collected. An explanatory model of clinical deterioration was created by means of conditional logistic regression. RESULTS: A total of 99 cases and 198 controls were included. According to the logistic regression analysis, the independent variables associated with clinical deterioration were: emergency department O2 saturation ≤90% (OR 16.6; 95%CI 4-68), pathological chest X-ray (OR 5.6; 95%CI 1.7-18.4), CRP > 100 mg/dL (OR 3.62; 95%CI 1.62-8), thrombocytopenia with <150,000 platelets (OR 4; 95%CI 1.84-8.6); and a medical history of acute myocardial infarction (OR 15.7; 95%CI, 3.29-75.09), COPD (OR 3.05; 95%CI 1.43-6.5), or HT (OR 2.21; 95%CI 1.11-4.4). The model's AUC was 0.86. On the univariate analysis, female sex and presence of dry cough and sore throat were associated with better clinical progress, but were not found to be significant on the multivariate analysis. CONCLUSION: The variables identified could be useful in clinical practice for the detection of patients at high risk of poor outcomes.

[Risk factors for clinical deterioration in patients admitted for COVID-19: A case-control study]. / Factores de riesgo de deterioro clínico en pacientes ingresados por COVID-19: estudio caso-control.

INTRODUCTION: There is controversy regarding the best predictors of clinical deterioration in COVID-19. OBJECTIVE: This work aims to identify predictors of risk factors for deterioration in patients hospitalized due to COVID-19. METHODS DESIGN: Nested case-control study within a cohort. Setting: 13 acute care centers of the Osakidetza-Basque Health Service. Participants: Patients hospitalized for COVID-19 with clinical deterioration-defined as onset of severe ARDS, ICU admission, or death-were considered cases. Two controls were matched to each case based on age. Sociodemographic data; comorbidities; baseline treatment; symptoms; date of onset; previous consultations; and clinical, analytical, and radiological variables were collected. An explanatory model of clinical deterioration was created by means of conditional logistic regression. RESULTS: A total of 99 cases and 198 controls were included. According to the logistic regression analysis, the independent variables associated with clinical deterioration were: emergency department O2 saturation ≤90% (OR 16.6; 95%CI 4-68), pathological chest X-ray (OR 5.6; 95%CI 1.7-18.4), CRP >100 mg/dL (OR 3.62; 95%CI 1.62-8), thrombocytopenia with < 150,000 platelets (OR 4; 95%CI 1.84-8.6); and a medical history of acute myocardial infarction (OR 15.7; 95%CI, 3.29-75.09), COPD (OR 3.05; 95%CI 1.43-6.5), or HT (OR 2.21; 95%CI 1.11-4.4). The model's AUC was 0.86. On the univariate analysis, female sex and presence of dry cough and sore throat were associated with better clinical progress, but were not found to be significant on the multivariate analysis. CONCLUSION: The variables identified could be useful in clinical practice for the detection of patients at high risk of poor outcomes.

Predictors of 1- and 2-year mortality in patients with rectal cancer.

AIM: Tools are needed to aid in the assessment of the prognosis of patients with rectal cancer regarding the risk of medium-term mortality. The aim of this study was to develop and validate clinical prediction rules for 1- and 2-year mortality in patients undergoing surgery for rectal cancer. METHOD: A prospective cohort study of patients diagnosed with rectal cancer who underwent surgery was carried out. The main outcomes were mortality at 1 and 2 years after surgery. Background, clinical parameters and diagnostic test findings were evaluated as possible predictors. Multivariable survival models were used in the statistical analyses. RESULTS: Predictors of 1-year mortality were being a current smoker [hazard ratio (HR) 4.98], having a Charlson index adjusted by age > 5 (HR 2.61), the presence of vascular, perineural or lymphatic invasion (HR 3.30), the presence of residual tumour at the operation (R-stage) (HR 8.64) and TNM stage (HR for TNM IV 5.10) [concordance index (C-index) 0.799 (95% CI: 0.71-0.89)]. Age greater than 80 years (HR 2.19), being a current smoker (HR 2.20), the pre-intervention haemoglobin level (HR 2.02), need for blood transfusion (HR 2.12), vascular, perineural or lymphatic invasion (HR 2.59), R-stage of the operation (HR 6.13) and TNM stage (HR for TNM IV 4.43) were predictors of 2-year mortality [C-index 0.779 (0.718-0.840)]. Adjuvant chemotherapy was an additional predictor at both outcome durations. CONCLUSION: These clinical parameters show good predictive values and are easy and quick-to-use tools to help in clinical decision making.

Prospective study of predictive factors of changes in pain and hip function after hip fracture among the elderly.

UNLABELLED: Our study identified pre-fracture variables, such as home status or function, that are directly or indirectly associated with frailty status before fracture. The prevention in the deterioration of those variables would improve the prognosis of those hip fractured, being this an important issue for the societies with increasingly aging population. INTRODUCTION: This study was designed to identify predictors of pain and declines in function among elderly patients following a fall-related hip fracture. METHODS: Patients aged 65 or older with a fall-related hip fracture retrospectively completed pre-fracture status questionnaires (T0; n = 740) and were then prospectively followed for 6 months (T1; n = 546). Of these, 474 were randomly selected to complete an additional 18 months of follow-up (T2; n = 356). Primary outcome measures were changes in the pain and function dimensions of the Western Ontario and McMaster Universities Osteoarthritis Index questionnaire's short form (WOMAC-SF). Potential predictors included sociodemographic variables, in-hospital and clinical pre- and post-fracture data, and activities of daily living at baseline and follow-up. Multivariate logistic regression was used for analysis. RESULTS: Predictors of worsening pain at T1 and/or T2 included living in a home care situation or nursing home before the fracture (OR at T1, 1.515; OR at T2, 2.749), and low pre-fracture pain (OR at T1, 1.028; OR at T2, 1.027). Predictors of deterioration in function at T1 and/or T2 included age ≥85 years (OR at T1, 2.714; OR at T2, 4.762), lower income (OR at T1, 1.755), high pre-fracture hip function (OR at T1, 1.029; OR at T2, 1.028), referral to rehabilitation upon discharge (OR at T1, 2.378; OR at T2, 2.881), and longer delay between fall and surgery (OR at T1, 1.133; OR at T2, 1.124). CONCLUSIONS: Frailty before hip fracture is a predictor of greater post-fracture pain and deterioration in function. Given that exercise programs help prevent frailty, promoting exercise in elderly may improve the prognosis of hip fracture.

Changes in health-related quality of life and activities of daily living after hip fracture because of a fall in elderly patients: a prospective cohort study.

BACKGROUND: The impact of hip fracture because of a fall on health-related quality of life (HRQoL) and activities of daily living (ADL) have not been well established. AIM: To evaluate changes in HRQoL and the ability to conduct ADL among patients with hip fracture because of a fall and to compare these changes with patients who did not fall and break a hip, adjusting by gender and age. METHODS: Adults aged 65 or more who attended the emergency departments of seven public hospitals were recruited in a prospective double-cohort study (fracture cohort, n = 776; non-fracture cohort, n = 115). ADL and HRQoL were assessed at baseline (during the postfall hospitalisation or by telephone afterwards) and 6 months later using the Barthel Index and the Lawton Brody Index for ADL, and the Short Form Health Survey (SF-12) and Western Ontario and McMaster Universities Osteoarthritis Index short form (WOMAC-SF) for HRQoL. RESULTS: Adjusting by gender, age and baseline status, a hip fracture was a strong predictor of decline in all outcomes measured except for mental quality of life among men (measured by SF-12). Hip fracture patients younger than 74 years reported significantly more pain (measured by WOMAC-SF) than the comparison group (p = 0.02), but this difference was not observed among older patients (p = 0.19 for 75-84 years; p = 0.39 for ≥ 85 years). DISCUSSION: Hip fractures have profound effects on HRQoL and ADL in both men and women, regardless of age. This indicates the need for special follow-up care of elderly hip fracture patients in the immediate and late postfracture periods.

Prognostic severity scores for patients with COPD exacerbations attending emergency departments.

SETTING: Reported predictors of the adverse evolution of patients with chronic obstructive pulmonary disease exacerbations (eCOPD) are various and inconsistent in the bibliography. OBJECTIVE: To develop clinical prediction rules for short-term outcomes in eCOPD patients attending an emergency department (ED). DESIGN: Prospective cohort study of patients with an eCOPD. Short-term outcomes were admission to an intensive care unit (ICU), admission to an intermediate respiratory care unit (IRCU) and death in these groups. Multivariate logistic regression models were developed for each of the outcomes. RESULTS: Predictors of ICU or IRCU admission were use of long-term home oxygen therapy (LT-HOT) or non-invasive mechanical ventilation (NIMV), elevated PCO2 and decreased pH upon ED arrival (area under the curve [AUC] 0.87 in the derivation sample; 0.89 in the validation sample). Among those admitted to an ICU or IRCU, predictors of death were increased age, use at home of LT-HOT or NIMV, use of inspiratory accessory muscles upon ED arrival and altered Glasgow Coma Scale (<15 points) (AUC 0.78). CONCLUSIONS: Three clinical predictors available in the ED can be used to create a simple score to predict the need for intensive treatment among eCOPD patients. Such a score can be a tool for clinical practice.

Validity of criteria for hospital admission in exacerbations of COPD.

AIMS: To validate a previously developed set of explicit criteria for the appropriateness of hospital admission among these patients using the RAND/UCLA Appropriateness Methodology (RAM). METHODS: We conducted a prospective cohort study of patients experiencing symptoms of COPD exacerbation seen in the emergency departments (ED) of 16 hospitals belonging to the Spanish National Health Service. Sociodemographic and clinical variables needed to assess appropriateness were recorded. Main outcomes were mortality, severe COPD evolution, complications at follow up, and three patient-reported measures: dyspnoea level, capacity for physical activity and perceived health status. RESULTS: Appropriately admitted patients were more likely to die (6.70% vs. 2.68%, p = 0.0102) than inappropriately admitted patients, and were more likely to develop severe evolution (27.09% vs. 6.08%, p < 0.0001) and complications (18.72% vs. 11.92%, p = 0.0244). Among discharged patients, no significant differences were observed in clinical outcomes. All patients exhibited worse dyspnoea and capacity for physical activity after exacerbation, but changes among appropriately admitted patients were less than among appropriately discharged patients. CONCLUSION: Our appropriateness criteria identified patients in worse condition at ED arrival who were more likely to benefit from admission in terms of mortality and COPD evolution.

Health-related quality of life and functionality in elderly men and women before and after a fall-related wrist fracture.

AIMS: To evaluate health-related quality of life (HRQoL) and functionality among older men and women who suffered a wrist fracture because of a fall and to identify postfracture consequences. METHODS: Observational, prospective cohort study of patients recruited in the emergency departments (ED) of six public hospitals of the Basque Health Service and one of the Catalan Health Service. Two groups of adults aged 65 or older were recruited: 960 with wrist fractures because of falls (fracture cohort) and 119 without fall-related wrist fractures in the previous year (non-fracture cohort). We collected sociodemographical and clinical data; general and specific HRQoL data measured by the 12-Item Short Form Health Survey (SF-12) and a short version of the Disabilities of the Arm, Shoulder, and Hand instrument (QuickDASH); and data about basic (BADL) and instrumental (IADL) activities of daily living, measured by the Barthel Index and the Lawton and Brody Index (LBI). RESULTS: Women with wrist fractures exhibited greater declines than men 6 months after the fall in all questionnaires except the LBI, and greater declines than those in the non-fracture cohort independent of gender. Patients aged 80 years and older presented with worse baseline scores in all the outcome measures and lost more HRQoL and functionality after wrist fractures. DISCUSSION: Women and older individuals experienced the greatest reductions in HRQoL and functionality after a fall-related wrist facture, suggesting that they might merit special attention in clinical care and public health policy. CONCLUSIONS: Specific prevention strategies may be needed to avoid or reduce the consequences of fall-related wrist fractures.

Explicit criteria for hospital admission in exacerbations of chronic obstructive pulmonary disease.

OBJECTIVE: To develop detailed, explicit criteria for determining the appropriateness of admission for patients with exacerbations of chronic obstructive pulmonary disease (COPD). DESIGN: Using a modified Delphi process, a panel of seven pneumologists and five emergency department (ED) physicians was assembled to establish the appropriateness of hospital admission for 896 distinct theoretical scenarios. To assess the reliability of the criteria, a second national panel of five pneumologists and five ED physicians was assembled. We examined the influence of all variables on the first panel score using linear regression models. The explicit criteria developed were summarised by classification and regression tree analysis. RESULTS: The appropriateness of the hospitalisation scenarios increased with the severity of COPD. The kappa of agreement between the two panels was 0.79. Predictors of appropriate hospitalisation were severity of current COPD exacerbation, response to previous treatment and expected adherence to treatment. The panel results were synthesised and presented in three decision trees. Misclassification error in the decision trees, as compared with the panel's original ratings, was 6.1%. CONCLUSIONS: These explicit criteria can be used to help determine the appropriateness of admission for patients with exacerbations of COPD.

Evaluación de la proteína C reactiva, alfa1-antitripsina y lipoproteína(a) como potenciales marcadores biológicos asociados al crecimiento del aneurisma de aorta abdominal / Evaluation of C-Reactive protein, Alpha1-Antitrypsin and lipoprotein (a) as potential biomarkers associated with abdominal aortic aneuriysm growth

Introducción. Actualmente, la valoración del aneurisma de aorta abdominal (AAA) infrarrenal asintomáticose realiza únicamente con pruebas de imagen seriadas. Buscamos un marcador plasmático útil como indicador de la actividaddel AAA y potencial valor pronóstico. Pacientes y métodos. Obtuvimos muestras de sangre periférica de 35 pacientescon AAA (13 AAA 30-39 mm; 11 40-49 mm; 11 >= 50 mm) y 35 controles. Determinamos la concentración plasmáticade proteína C reactiva (PCR), alfa1-antitripsina y lipoproteína(a). Registramos: datos clínicos, diámetro aórtico(ecografía/TC) en el momento de la extracción y crecimiento del AAA en el año previo. Analizamos la correlación entrecada proteína y el diámetro y crecimiento aórticos con los tests de Mann-Whitney, Kruskal-Wallis, Spearman y regresiónlineal. Resultados. Los pacientes eran mayoritariamente varones (n =33; 94,3%), con edad 71 ± 6,8 (54-83) años. El diámetrodel AAA (n = 35) era 45 ± 12 (30-71) mm, con crecimiento (n = 25) 3,1 ± 3,1 (0-10) mm/año previo. Las tres proteínaspresentaban concentraciones mayores en los pacientes que los controles: PCR 4,1 (1,9-7,3) frente a 1,9 (0,5-4,9)mg/L (p = 0,026); alfa1-antitripsina 147 (131-168) frente a 125,5 (113,8-135,5) mg/dL (p < 0,0001); lipoproteína(a) 47(20-117,5) frente a 27 (9-47) mg/dL (p = 0,022). Encontramos correlaciones positivas PCR-diámetro AAA (r = 0,46; p =0,007) y alfa1-antitripsina-crecimiento AAA (r = 0,55; p = 0,004), sin correlación entre lipoproteína(a)-diámetro/crecimientoAAA (p > 0,52). Las concentraciones de PCR estaban influidas por la toma de estatinas (p = 0,036). No existíancorrelaciones en los controles para ninguno de los marcadores (p > 0,22). Conclusiones. La alfa1-antitripsina pareceprometedora como marcador biológico de la actividad del AAA. La PCR muestra correlación con el tamaño del AAA, perose ve influida por las estatinas. Se descarta la utilidad de la lipoproteína(a)(AU)

Introduction. Current assessment of asymptomatic infrarenal abdominal aortic aneurysms (AAA) is donesolely with serial image techniques. We try to find a useful serological biomarker of AAA activity with potentialprognostic value. Patients and methods.We obtained peripheral blood samples from 35 AAA patients (13 3-3.9 cm AAA;11 4-4.9 cm AAA; 11 >= 5 cm AAA) and 35 controls. We quantified the serum concentration of C-reactive protein(CRP), alpha1-antitrypsin and lipoprotein(a). We registered: clinical data, aortic diameter (ultrasound/CT) at the timeof blood sample harvest, and AAA growth in the previous 12 months. We analysed the correlation between each proteinand the aortic diameter and growth, using Mann-Whitney, Kruskal-Wallis and Spearman’s tests and linear regression.Results. The AAA patients were mostly male (n = 33; 94.3%) and aged 71 ± 6.8 (54-83) years. The AAA diameter (n =35) was 45 ± 12 (30-71) mm, with expansion (n = 25) 3,1 ± 3,1 (0-10) mm/previous year. The levels of the three proteinswere significantly higher in the AAA patients compared to the controls: CRP 4.1 (1.9-7.3) v. 1.9 (0.5-5) mg/L (p = 0.026);alpha1-antitrypsin 147 (131-168) v. 125.5 (114-135.5) mg/dL (p < 0.0001); lipoprotein(a) 47 (20-117.5) v. 27 (9-47)mg/dL (p = 0.022). We found positive correlations CRP-AAA diameter (r = 0.46; p = 0.007) and alpha1-antitrypsin-AAAgrowth (r = 0,55; p = 0,004), but no association between lipoprotein(a) and AAA diameter or expansion (p > 0.52). CRPconcentrations were influenced by statin intake (p = 0.036). There were no correlations for any of the proteins in thecontrol group (p > 0.22). Conclusions. Alpha1-antitrypsin seems promising as a biomarker of AAA activity. CRP showscorrelation with AAA size, but is influenced by statin intake. Lipoprotein(a) has not proved useful(AU)