Liu, Chang

OBJECTIVES: To evaluate the efficacy of the simultaneous hypertonic saline solution and IV furosemide (HSS+Fx) for patients with fluid overload compared with IV furosemide alone (Fx). DATA SOURCES: Electronic databases (MEDLINE, EMBASE, CENTRAL, Cochrane Database of Systematic Reviews, PsycINFO, Scopus, and WOS) were searched from inception to March 2020. STUDY SELECTION: Randomized controlled trials on the use of HSS+Fx in adult patients with fluid overload versus Fx were included. DATA EXTRACTION: Data were collected on all-cause mortality, hospital length of stay, heart failure–related readmission, along with inpatient weight loss, change of daily diuresis, serum creatinine, and 24-hour urine sodium excretion from prior to post intervention. Pooled analysis with random effects models yielded relative risk or mean difference with 95% CIs. DATA SYNTHESIS: Eleven randomized controlled trials comprising 2,987 acute decompensated heart failure patients were included. Meta-analysis demonstrated that HSS+Fx was associated with lower all-cause mortality (relative risk, 0.55; 95% CI, 0.46–0.67; p < 0.05; I2 = 12%) and heart failure–related readmissions (relative risk, 0.50; 95% CI, 0.33–0.76; p < 0.05; I2 = 61%), shorter hospital length of stay (mean difference, –3.28 d; 95% CI, –4.14 to –2.43; p < 0.05; I2 = 93%), increased daily diuresis (mean difference, 583.87 mL; 95% CI, 504.92–662.81; p < 0.05; I2 = 76%), weight loss (mean difference, –1.76 kg; 95% CI, –2.52 to –1.00; p < 0.05; I2 = 57%), serum sodium change (mean difference, 6.89 mEq/L; 95% CI, 4.98–8.79; p < 0.05; I2 = 95%), and higher 24-hour urine sodium excretion (mean difference, 61.10 mEq; 95% CI, 51.47–70.73; p < 0.05; I2 = 95%), along with decreased serum creatinine (mean difference, –0.46 mg/dL; 95% CI, –0.51 to –0.41; p < 0.05; I2 = 89%) when compared with Fx. The Grading of Recommendation, Assessment, Development, and Evaluation certainty of evidence ranged from low to moderate. CONCLUSIONS: Benefits of the HSS+Fx over Fx were observed across all examined outcomes in acute decompensated heart failure patients with fluid overload. There is at least moderate certainty that HSS+Fx is associated with a reduction in mortality in patients with acute decompensated heart failure. Factors associated with a successful HSS+Fx utilization are still unknown. Current evidence cannot be extrapolated to other than fluid overload states in acute decompensated heart failure.

OBJECTIVES: Accurate identification of acute respiratory distress syndrome is essential for understanding its epidemiology, patterns of care, and outcomes. We aimed to design a computable phenotyping strategy to detect acute respiratory distress syndrome in electronic health records of critically ill patients. DESIGN: This is a retrospective cohort study. Using a near real-time copy of the electronic health record, we developed a computable phenotyping strategy to detect acute respiratory distress syndrome based on the Berlin definition. SETTING: Twenty multidisciplinary ICUs in Mayo Clinic Health System. SUBJECTS: The phenotyping strategy was applied to 196,487 consecutive admissions from year 2009 to 2019. INTERVENTIONS: The acute respiratory distress syndrome cohort generated by this novel strategy was compared with the acute respiratory distress syndrome cohort documented by clinicians during the same period. The sensitivity and specificity of the phenotyping strategy were calculated in randomly selected patient cohort (50 patients) using the results from manual medical record review as gold standard. MEASUREMENTS AND MAIN RESULTS: Among the patients who did not have acute respiratory distress syndrome documented, the computable phenotyping strategy identified 3,169 adult patients who met the Berlin definition, 676 patients (21.3%) were classified to have severe acute respiratory distress syndrome (Pao 2/Fio 2 ratio ≤ 100), 1,535 patients (48.4%) had moderate acute respiratory distress syndrome (100 < Pao 2/Fio 2 ratio ≤ 200), and 958 patients (30.2%) had mild acute respiratory distress syndrome (200 < Pao 2/Fio 2 ratio ≤ 300). The phenotyping strategy achieved a sensitivity of 94.4%, specificity of 96.9%, positive predictive value of 94.4%, and negative predictive value of 96.9% in a randomly selected patient cohort. The clinicians documented acute respiratory distress syndrome in 1,257 adult patients during the study period. The clinician documentation rate of acute respiratory distress syndrome was 28.4%. Compared with the clinicians’ documentation, the phenotyping strategy identified a cohort that had higher acuity and complexity of illness suggested by higher Sequential Organ Failure Assessment score (9 vs 7; p < 0.0001), higher Acute Physiology and Chronic Health Evaluation score (76 vs 63; p < 0.0001), higher rate of requiring invasive mechanical ventilation (99.1% vs 71.8%; p < 0.0001), higher ICU mortality (20.6% vs 16.8%; p < 0.0001), and longer ICU length of stay (5.1 vs 4.2 d; p < 0.0001). CONCLUSIONS: Our rule-based computable phenotyping strategy can accurately detect acute respiratory distress syndrome in critically ill patients in the setting of high clinical complexity. This strategy can be applied to enhance early recognition of acute respiratory distress syndrome and to facilitate best-care delivery and clinical research in acute respiratory distress syndrome.

BackgroundLarge‐scale normative studies of pancreatic stiffness and potential influences have yet to be pursued via magnetic resonance elastography (MRE).PurposeTo determine normative MRE‐based pancreatic stiffness values and to examine related influential factors.Study TypeProspective.SubjectsIn all, 361 volunteers (men, 199; women, 162) with a median age of 54.0 years and a median body mass index (BMI) of 22.86 kg/m2 were prospectively recruited. Those with no histories of smoking, alcohol abuse, and diabetes mellitus (DM) were grouped as healthy volunteers, designating all others as positive controls.Field Strength/SequenceEach volunteer underwent 3.0T pancreatic MRI at a frequency of 40 Hz.AssessmentPancreatic stiffness values, pancreatic width and volume, waist circumference, and wave distance were measured in all subjects.Statistical TestsMultiple linear regression analyses were performed to determine variables that influence MRE‐determined stiffness.ResultsThe mean pancreatic stiffness in all volunteers was 1.20 ± 0.16 kPa. Stiffness levels in positive control volunteers proved significantly greater than levels in healthy volunteers (1.29 ± 0.17 kPa vs. 1.14 ± 0.13 kPa; P < 0.001). In multiple linear regression analysis, sex (P = 0.004), BMI (P < 0.001), pancreatic width (P = 0.005), smoking (P < 0.001), alcohol abuse (P < 0.001), and DM (P = 0.001) emerged as significant independent factors impacting pancreatic stiffness. Smoking, alcohol abuse, DM, and wide pancreas were associated with greater pancreatic stiffness (coefficients = 0.202, 0.183, 0.149, and 0.160, respectively), while reduced pancreatic stiffness corresponded with female sex and larger BMI (coefficient = −0.155 and −0.192, respectively).Data ConclusionMRE‐based pancreatic stiffness values are impacted by sex, BMI, pancreatic width, smoking, alcohol abuse, and DM. Reference values are essential for future clinical studies.Level of Evidence: 1Technical Efficacy: Stage 2J. Magn. Reson. Imaging 2020;52:448–458.