A novel risk score predicting 30-day hospital re-admission of patients with acute stroke by machine learning model.

BACKGROUND: The 30-day hospital re-admission rate is a quality measure of hospital care to monitor the efficiency of the healthcare system. The hospital re-admission of acute stroke (AS) patients is often associated with higher mortality rates, greater levels of disability and increased healthcare costs. The aim of our study was to identify predictors of unplanned 30-day hospital re-admissions after discharge of AS patients and define an early re-admission risk score (RRS). METHODS: This observational, retrospective study was performed on AS patients who were discharged between 2014 and 2019. Early re-admission predictors were identified by machine learning models. The performances of these models were assessed by receiver operating characteristic curve analysis. RESULTS: Of 7599 patients with AS, 3699 patients met the inclusion criteria, and 304 patients (8.22%) were re-admitted within 30 days from discharge. After identifying the predictors of early re-admission by logistic regression analysis, RRS was obtained and consisted of seven variables: hemoglobin level, atrial fibrillation, brain hemorrhage, discharge home, chronic obstructive pulmonary disease, one and more than one hospitalization in the previous year. The cohort of patients was then stratified into three risk categories: low (RRS = 0-1), medium (RRS = 2-3) and high (RRS >3) with re-admission rates of 5%, 8% and 14%, respectively. CONCLUSIONS: The identification of risk factors for early re-admission after AS and the elaboration of a score to stratify at discharge time the risk of re-admission can provide a tool for clinicians to plan a personalized follow-up and contain healthcare costs.

Development and external validation of a machine learning model for the prediction of persistent acute kidney injury stage 3 in multi-centric, multi-national intensive care cohorts.

BACKGROUND: The aim of this retrospective cohort study was to develop and validate on multiple international datasets a real-time machine learning model able to accurately predict persistent acute kidney injury (AKI) in the intensive care unit (ICU). METHODS: We selected adult patients admitted to ICU classified as AKI stage 2 or 3 as defined by the "Kidney Disease: Improving Global Outcomes" criteria. The primary endpoint was the ability to predict AKI stage 3 lasting for at least 72 h while in the ICU. An explainable tree regressor was trained and calibrated on two tertiary, urban, academic, single-center databases and externally validated on two multi-centers databases. RESULTS: A total of 7759 ICU patients were enrolled for analysis. The incidence of persistent stage 3 AKI varied from 11 to 6% in the development and internal validation cohorts, respectively and 19% in external validation cohorts. The model achieved area under the receiver operating characteristic curve of 0.94 (95% CI 0.92-0.95) in the US external validation cohort and 0.85 (95% CI 0.83-0.88) in the Italian external validation cohort. CONCLUSIONS: A machine learning approach fed with the proper data pipeline can accurately predict onset of Persistent AKI Stage 3 during ICU patient stay in retrospective, multi-centric and international datasets. This model has the potential to improve management of AKI episodes in ICU if implemented in clinical practice.

Physiological Comparison of High-Flow Nasal Cannula and Helmet Noninvasive Ventilation in Acute Hypoxemic Respiratory Failure.

Rationale: High-flow nasal cannula (HFNC) and helmet noninvasive ventilation (NIV) are used for the management of acute hypoxemic respiratory failure.Objectives: Physiological comparison of HFNC and helmet NIV in patients with hypoxemia.Methods: Fifteen patients with hypoxemia with PaO2/FiO2 < 200 mm Hg received helmet NIV (positive end-expiratory pressure ≥ 10 cm H2O, pressure support = 10-15 cm H2O) and HFNC (50 L/min) in randomized crossover order. Arterial blood gases, dyspnea, and comfort were recorded. Inspiratory effort was estimated by esophageal pressure (Pes) swings. Pes-simplified pressure-time product and transpulmonary pressure swings were measured.Measurements and Main Results: As compared with HFNC, helmet NIV increased PaO2/FiO2 (median [interquartile range]: 255 mm Hg [140-299] vs. 138 [101-172]; P = 0.001) and lowered inspiratory effort (7 cm H2O [4-11] vs. 15 [8-19]; P = 0.001) in all patients. Inspiratory effort reduction by NIV was linearly related to inspiratory effort during HFNC (r = 0.84; P < 0.001). Helmet NIV reduced respiratory rate (24 breaths/min [23-31] vs. 29 [26-32]; P = 0.027), Pes-simplified pressure-time product (93 cm H2O ⋅ s ⋅ min-1 [43-138] vs. 200 [168-335]; P = 0.001), and dyspnea (visual analog scale 3 [2-5] vs. 8 [6-9]; P = 0.002), without affecting PaCO2 (P = 0.80) and comfort (P = 0.50). In the overall cohort, transpulmonary pressure swings were not different between treatments (NIV = 18 cm H2O [14-21] vs. HFNC = 15 [8-19]; P = 0.11), but patients exhibiting lower inspiratory effort on HFNC experienced increases in transpulmonary pressure swings with helmet NIV. Higher transpulmonary pressure swings during NIV were associated with subsequent need for intubation.Conclusions: As compared with HFNC in hypoxemic respiratory failure, helmet NIV improves oxygenation, reduces dyspnea, inspiratory effort, and simplified pressure-time product, with similar transpulmonary pressure swings, PaCO2, and comfort.

Regional distribution of ventilation in patients with obstructive sleep apnea: the role of thoracic electrical impedance tomography (EIT) monitoring.

PURPOSE: The aim of our study was to apply the electrical impedance tomography (EIT) technique to the study of ventilation during wake and NREM and REM sleep in patients with obstructive sleep apneas (OSA). METHODS: This is a prospective, observational, monocentric, pilot study in a neurology department with a sleep disorder center. Inclusion criteria were age ≥18 years, both gender, and diagnosis of OSA. Exclusion criteria were the contraindications to the thoracic EIT. All patients underwent laboratory-based polysomnography (PSG) alongside thoracic EIT. Primary endpoint was to compare the global impedance (GI) among the conditions: "Wake" vs "Sleep," "NREM" vs "REM," and "OSA" vs "Non-OSA." Secondary endpoint was to measure the regional distribution of impedance in the four regions of interest (ROIs), in each condition. RESULTS: Of the 17 consecutive patients enrolled, two were excluded because of poor-quality EIT tracings. Fifteen were analyzed, 10 men and 5 women, mean age 51.6 ± 14.4 years. GI was higher in Wake vs Sleep (Wake 13.24 ± 11.23; Sleep 12.56 ± 13.36; p < 0.01), in NREM vs REM (NREM 13.48 ± 13.43; REM 0.59 ± 0.01; p < 0.01), and in Non-OSA vs OSA (Non-OSA 10.50 ± 12.99; OSA 18.98 ± 10.06; p < 0.01). No significant differences were observed in the regional distribution of impedance between Wake and Sleep (χ 2 = 3.66; p = 0.299) and between Non-OSA and OSA (χ 2 = 1.00; p = 0.799); conversely, a significant difference was observed between NREM and REM sleep (χ 2 = 62.94; p < 0.001). CONCLUSIONS: To our knowledge, this is the first study that addresses the issue of regional ventilation in OSA patients during sleep. Thoracic electrical impedance changes through the sleep-wake cycle and during obstructive events. The application of thoracic EIT can prove a valuable additional strategy for the evaluation of OSA patients.

High dose tigecycline in critically ill patients with severe infections due to multidrug-resistant bacteria.

INTRODUCTION: The high incidence of multidrug-resistant (MDR) bacteria among patients admitted to ICUs has determined an increase of tigecycline (TGC) use for the treatment of severe infections. Many concerns have been raised about the efficacy of this molecule and increased dosages have been proposed. Our purpose is to investigate TGC safety and efficacy at higher than standard doses. METHODS: We conducted a retrospective study of prospectively collected data in the ICU of a teaching hospital in Rome. Data from all patients treated with TGC for a microbiologically confirmed infection were analyzed. The safety profile and efficacy of high dosing regimen use were investigated. RESULTS: Over the study period, 54 patients (pts) received TGC at a standard dose (SD group: 50 mg every 12 hours) and 46 at a high dose (HD group: 100 mg every 12 hours). Carbapenem-resistant Acinetobacter.baumannii (blaOXA-58 and blaOXA-23 genes) and Klebsiella pneumoniae (blaKPC-3 gene) were the main isolated pathogens (n = 79). There were no patients requiring TGC discontinuation or dose reduction because of adverse events. In the ventilation-associated pneumonia population (VAP) subgroup (63 patients: 30 received SD and 33 HD), the only independent predictor of clinical cure was the use of high tigecycline dose (odds ratio (OR) 6.25; 95% confidence interval (CI) 1.59 to 24.57; P = 0.009) whilst initial inadequate antimicrobial treatment (IIAT) (OR 0.18; 95% CI 0.05 to 0.68; P = 0.01) and higher Sequential Organ Failure Assessment (SOFA) score (OR 0.66; 95% CI 0.51 to 0.87; P = 0.003) were independently associated with clinical failure. CONCLUSIONS: TGC was well tolerated at a higher than standard dose in a cohort of critically ill patients with severe infections. In the VAP subgroup the high-dose regimen was associated with better outcomes than conventional administration due to Gram-negative MDR bacteria.

Delayed hypothermia in malignant ischaemic stroke.

Moderate hypothermia may reduce mortality in malignant brain infarction. However, due to the extremely limited number of patients treated, it is still unknown whether it may be beneficial if undertaken several days after acute stroke, when the probability of a malignant oedema is higher. We report on a patient with malignant brain oedema after middle cerebral artery infarction, who was treated with moderate hypothermia on the third day after stroke when he became comatose. Hypothermia was induced at a rate of 1.25°C/h by an intravascular cooling catheter. The target temperature of 32°C was reached in about 6 h. After 36 h of hypothermia, the patient was actively re-warmed at a rate of 0.2°C/h. The patient survived and showed a progressive reduction of mass effect on CT scan. This single case study suggests a beneficial effect of hypothermia in the treatment of severe space-occupying ischemic infarction even on the third day after stroke onset.

Machine Learning and Antibiotic Management.

Machine learning and cluster analysis applied to the clinical setting of an intensive care unit can be a valuable aid for clinical management, especially with the increasing complexity of clinical monitoring. Providing a method to measure clinical experience, a proxy for that automatic gestalt evaluation that an experienced clinician sometimes effortlessly, but often only after long, hard consideration and consultation with colleagues, relies upon for decision making, is what we wanted to achieve with the application of machine learning to antibiotic therapy and clinical monitoring in the present work. This is a single-center retrospective analysis proposing methods for evaluation of vitals and antimicrobial therapy in intensive care patients. For each patient included in the present study, duration of antibiotic therapy, consecutive days of treatment and type and combination of antimicrobial agents have been assessed and considered as single unique daily record for analysis. Each parameter, composing a record was normalized using a fuzzy logic approach and assigned to five descriptive categories (fuzzy domain sub-sets ranging from "very low" to "very high"). Clustering of these normalized therapy records was performed, and each patient/day was considered to be a pertaining cluster. The same methodology was used for hourly bed-side monitoring. Changes in patient conditions (monitoring) can lead to a shift of clusters. This can provide an additional tool for assessing progress of complex patients. We used Fuzzy logic normalization to descriptive categories of parameters as a form nearer to human language than raw numbers.

Early diagnosis of candidemia in intensive care unit patients with sepsis: a prospective comparison of (1→3)-ß-D-glucan assay, Candida score, and colonization index.

INTRODUCTION: The culture-independent serum (1→3)-ß-D-glucan (BG) detection test may allow early diagnosis of invasive fungal disease, but its clinical usefulness needs to be firmly established. A prospective single-center observational study was conducted to compare the diagnostic value of BG assay, Candida score (CS), and colonization index in intensive care unit (ICU) patients at risk for Candida sepsis. METHODS: Of 377 patients, consecutively admitted to ICU for sepsis, 95 patients having an ICU stay of more than five days were studied. Blood specimens for fungal culture and BG measurement were obtained at the onset of clinical sepsis. For CS and colonization index calculations, surveillance cultures for Candida growth, and/or clinical data were recorded. RESULTS: Sixteen (16.8%) patients were diagnosed with proven invasive fungal infection, 14 with candidiasis (13 candidemia and 1 mediastinitis) and 2 with pulmonary aspergillosis or fusariosis. Of 14 invasive Candida-infection patients, 13 had a serum sample positive for BG, 10 had a CS value ≥ 3, and 7 a colonization index ≥ 0.5. In the 12 candidemic patients, a positive BG result was obtained 24 to 72 hrs before a culture-documented diagnosis of invasive candidiasis. The positive and negative predictive values for the BG assay were higher than those of CS and colonization index (72.2% versus 57.1% and 27.3%; and 98.7% versus 97.2% and 91.7%, respectively). CONCLUSIONS: A single-point BG assay based on a blood sample drawn at the sepsis onset, alone or in combination with CS, may guide the decision to start antifungal therapy early in patients at risk for Candida infection.

Gas conditioning during helmet noninvasive ventilation: effect on comfort, gas exchange, inspiratory effort, transpulmonary pressure and patient-ventilator interaction.

BACKGROUND: There is growing interest towards the use of helmet noninvasive ventilation (NIV) for the management of acute hypoxemic respiratory failure. Gas conditioning through heat and moisture exchangers (HME) or heated humidifiers (HHs) is needed during facemask NIV to provide a minimum level of humidity in the inspired gas (15 mg H2O/L). The optimal gas conditioning strategy during helmet NIV remains to be established. METHODS: Twenty patients with acute hypoxemic respiratory failure (PaO2/FiO2 < 300 mmHg) underwent consecutive 1-h periods of helmet NIV (PEEP 12 cmH2O, pressure support 12 cmH2O) with four humidification settings, applied in a random order: double-tube circuit with HHs and temperature set at 34 °C (HH34) and 37 °C (HH37); Y-piece circuit with HME; double-tube circuit with no humidification (NoH). Temperature and humidity of inhaled gas were measured through a capacitive hygrometer. Arterial blood gases, discomfort and dyspnea through visual analog scales (VAS), esophageal pressure swings (ΔPES) and simplified pressure-time product (PTPES), dynamic transpulmonary driving pressure (ΔPL) and asynchrony index were measured in each step. RESULTS: Median [IqR] absolute humidity, temperature and VAS discomfort were significantly lower during NoH vs. HME, HH34 and HH37: absolute humidity (mgH2O/L) 16 [12-19] vs. 28 [23-31] vs. 28 [24-31] vs. 33 [29-38], p < 0.001; temperature (°C) 29 [28-30] vs. 30 [29-31] vs. 31 [29-32] vs 32. [31-33], p < 0.001; VAS discomfort 4 [2-6] vs. 6 [2-7] vs. 7 [4-8] vs. 8 [4-10], p = 0.03. VAS discomfort increased with higher absolute humidity (p < 0.01) and temperature (p = 0.007). Higher VAS discomfort was associated with increased VAS dyspnea (p = 0.001). Arterial blood gases, respiratory rate, ΔPES, PTPES and ΔPL were similar in all conditions. Overall asynchrony index was similar in all steps, but autotriggering rate was lower during NoH and HME (p = 0.03). CONCLUSIONS: During 1-h sessions of helmet NIV in patients with hypoxemic respiratory failure, a double-tube circuit with no humidification allowed adequate conditioning of inspired gas, optimized comfort and improved patient-ventilator interaction. Use of HHs or HME in this setting resulted in increased discomfort due to excessive heat and humidity in the interface, which was associated with more intense dyspnea. Trail Registration Registered on clinicaltrials.gov (NCT02875379) on August 23rd, 2016.

High Failure Rate of Noninvasive Oxygenation Strategies in Critically Ill Subjects With Acute Hypoxemic Respiratory Failure Due to COVID-19.

BACKGROUND: The efficacy of noninvasive oxygenation strategies (NIOS) in treating COVID-19 disease is unknown. We conducted a prospective observational study to assess the rate of NIOS failure in subjects treated in the ICU for hypoxemic respiratory failure due to COVID-19. METHODS: Patients receiving first-line treatment NIOS for hypoxemic respiratory failure due to COVID-19 in the ICU of a university hospital were included in this study; laboratory data were collected upon arrival, and 28-d outcome was recorded. After propensity score matching based on Simplified Acute Physiology (SAPS) II score, age, [Formula: see text] and [Formula: see text] at arrival, the NIOS failure rate in subjects with COVID-19 was compared to a previously published cohort who received NIOS during hypoxemic respiratory failure due to other causes. RESULTS: A total of 85 subjects received first-line treatment with NIOS. The most frequently used methods were helmet noninvasive ventilation and high-flow nasal cannula; of these, 52 subjects (61%) required endotracheal intubation. Independent factors associated with NIOS failure were SAPS II score (P = .009) and serum lactate dehydrogenase at enrollment (P = .02); the combination of SAPS II score ≥ 33 with serum lactate dehydrogenase ≥ 405 units/L at ICU admission had 91% specificity in predicting the need for endotracheal intubation. In the propensity-matched cohorts (54 pairs), subjects with COVID-19 showed higher risk of NIOS failure than those with other causes of hypoxemic respiratory failure (59% vs 35%, P = .02), with an adjusted hazard ratio of 2 (95% CI 1.1-3.6, P = .01). CONCLUSIONS: As compared to hypoxemic respiratory failure due to other etiologies, subjects with COVID-19 who were treated with NIOS in the ICU were burdened by a 2-fold higher risk of failure. Subjects with a SAPS II score ≥ 33 and serum lactate dehydrogenase ≥ 405 units/L represent the population with the greatest risk.

CO2 driven endotracheal tube cuff control in critically ill patients: A randomized controlled study.

BACKGROUND: To determine the safety and clinical efficacy of an innovative integrated airway system (AnapnoGuard™ 100 system) that continuously monitors and controls the cuff pressure (Pcuff), while facilitating the aspiration of subglottic secretions (SS). METHODS: This was a prospective, single centre, open-label, randomized, controlled feasibility and safety trial. The primary endpoint of the study was the rate of device related adverse events (AE) and serious AE (SAE) as a result of using AnapnoGuard (AG) 100 during mechanical ventilation. Secondary endpoints were: (1) mechanical complications rate (2) ICU staff satisfaction; (3) VAP occurrence; (4) length of mechanical ventilation; (5) length of Intensive Care Unit stay and mortality; (6) volume of evacuated subglottic secretions. Sixty patients were randomized to be intubated with the AG endotracheal-tube (ETT) and connected to the AG 100 system allowing Pcuff adjustment and SS aspiration; or with an ETT combined with SS drainage and Pcuff controlled manually. RESULTS: No difference in adverse events rate was identified between the groups. The use of AG system was associated with a significantly higher incidence of Pcuff determinations in the safety range (97.3% vs. 71%; p<0.01) and a trend to a greater volume of aspirated SS secretions: (192.0[64-413] ml vs. 150[50-200], p = 0.19 (total)); (57.8[20-88.7] ml vs. 50[18.7-62] ml, p = 0.11 (daily)). No inter-group difference was detected using AG system vs. controls in terms of post-extubation throat pain level (0 [0-2] vs. 0 [0-3]; p = 0.7), hoarseness (42.9% vs. 75%; p = 0.55) and tracheal mucosa oedema (16.7% vs. 10%; p = 0.65). Patients enrolled in the AG group had a trend to reduced VAP risk of ventilator-associated pneumonia(VAP) (14.8% vs. 40%; p = 0.06), which were more frequently monomicrobial (25% vs. 70%; p = 0.03). No statistically significant difference was observed in duration of mechanical ventilation, ICU stay, and mortality. CONCLUSIONS: The use AG 100 system and AG tube in critically ill intubated patients is safe and effective in Pcuff control and SS drainage. Its protective role against VAP needs to be confirmed in a larger randomized trial. TRIAL REGISTRATION: ClinicalTrials.gov NCT01550978. Date of registration: February 21, 2012.

Clinical impact of pulmonary sampling site in the diagnosis of ventilator-associated pneumonia: A prospective study using bronchoscopic bronchoalveolar lavage.

PURPOSE: It is unclear whether ventilator-associated pneumonia (VAP) is actually a bilateral and multifocal process. In addition, the diagnostic role of chest x-ray is under debate. Assuming a low microbiologic concordance between the left and right lungs, the reliability of a single pulmonary sampling becomes questionable. The purpose of this study was to determine whether the choice of the pulmonary sampling area is clinically relevant in the management of VAP. METHODS: In 79 patients admitted to a university general intensive care unit with clinically suspected VAP, right- and left-lung bronchoalveolar lavage (BAL) samples were taken with separate bronchoscopes and quantitatively cultured. Primary end-point variable was microbiologic concordance rate between right- and left-lung BAL cultures. Secondary outcomes included predictors of microbiologic concordance, rates of appropriate antibiotic treatment, and diagnostic accuracy of chest x-ray. RESULTS: BAL cultures were bilaterally negative in 21 (27%) of 79 patients, bilaterally positive in 36 (46%), and unilaterally positive (right in 12, left in 10) in 22 (28%). Intra-patient concordance was observed in 47 (59.5%) of 79 cases and independently associated with purulent secretions and bilateral infiltrates on chest x-ray. In simulated prescribing experiments, treatments chosen based on right or left cultures alone were as appropriate as those based on bilateral data in >90% of cases. The presence of a radiographic infiltrate in the sampling area predicted BAL culture positivity with a positive predictive value of only 61%. CONCLUSIONS: In patients with clinically suspected VAP (especially those without purulent secretions or without radiographically documented bilateral infiltrates), quantitative culture of a single BAL sample may provide an incomplete assessment of lung microbiology, without having a relevant impact on the appropriateness of antimicrobial treatment. These findings suggest that single sampling of respiratory secretions, regardless radiographic opacity, seems to be a reliable diagnostic method in the management of VAP.

Online vs live methods for teaching difficult airway management to anesthesiology residents.

OBJECTIVE: To compare the effectiveness of traditional and online teaching methods for educating anesthesiology residents in the principles and practice of difficult airway management. DESIGN: Prospective, randomized, controlled trial. SETTING: University hospital. PARTICIPANTS: Two randomly selected groups, each containing 28 physicians enrolled from among residents in Anesthesiology and Intensive Care Medicine in Italy. INTERVENTIONS: Residents in Group 1 took a traditional 5-h course on the principles and practice of airway management, which included lectures, slide projection, and dummy demonstrations. The same material was presented to Group 2 in an exclusively online format, which could be individually accessed for a period of 36 h. In the online course, student-instructor interaction was provided through threaded discussion forums during three 30-min real-time question-and-answer sessions. MEASUREMENTS AND RESULTS: Differences in baseline and post-course scores on written tests and practical skills tests were measured. Knowledge gains in Group 2 were slightly, but not significantly, greater compared with Group 1 both in written (P=0.228) and practical skills (P=0.376) tests. Semi-quantitative ratings of learner satisfaction were significantly higher in the online group (P=0.014). Almost all online students (93%) were logged in for at least 45 of the 90 min of real-time question-and-answer sessions. The four instructors spent an average of 144+/-10 min preparing answers and interacting with online students. CONCLUSIONS: Online teaching formats may be a valid alternative for teaching residents the principles and practice of difficult airway management. Interaction with instructors seems to be an important element, but it may require substantial time commitments by instructors.

Genetic variation at the ApoB 3' HVR minisatellite locus in the Mbenzele Pygmies from the Central African Republic.

This study analyzes the polymorphic minisatellite ApoB 3' HVR in the Mbenzele Pygmies from the Central African Republic. A total of 14 alleles was observed, with frequencies ranging from 0.020 (19, 21, 27, and 45 repeat unit alleles) to 0.210 (37 repeat unit allele). Departure from Hardy-Weinberg equilibrium was not statistically significant. The estimated heterozygosity was 0.874 +/- 0.016. Taking data from the literature into consideration, the results support the hypothesis that the Africans are different from non-Africans due to greater ApoB 3' HVR genetic diversity and a unimodal profile of ApoB 3' HVR allele frequency distribution. Interpopulational relationships were also analyzed using an F(ST) based genetic distance. The results highlight the similarity between the Mbenzele Pygmies and Bantu-speaking groups (Ewondo and Zulu), and the divergence between the Mbenzele and San, the two groups which are often considered to be the most direct descendants of proto-Africans. Am. J. Hum. Biol. 12:588-592, 2000. Copyright 2000 Wiley-Liss, Inc.

Clinical outcomes of Pseudomonas aeruginosa pneumonia in intensive care unit patients.

PURPOSE: Our aim was to identify the clinical profile of intensive care unit (ICU) patients with Pseudomonas aeruginosa (PA) pneumonia and the impact on ICU mortality and duration of mechanical ventilation (MV) of multidrug resistance (MDR) in the PA isolate and inadequate initial antibiotic therapy (IIAT). METHODS: We conducted a retrospective analysis of data prospectively collected in the 18-bed general ICU of a major teaching hospital in Rome, Italy. The study cohort consisted of 110 adult patients with culture-confirmed PA pneumonia consecutively diagnosed in 2008-2010. ICU survivor and nonsurvivor groups were compared to identify factors associated with ICU mortality. RESULTS: In 42 (38 %) of the 110 cases of PA pneumonia analyzed, the PA isolate was MDR. Fifty-six (50.9 %) of the patients received IIAT, and 49 (44.5 %) died in ICU. In logistic regression analysis, IIAT, diabetes mellitus, higher Simplified Acute Physiology Score (SAPS) II scores, and older age were independently associated with ICU mortality. Among survivors, those who received IIAT or had MDR PA pneumonia had significantly longer median (interquartile ranges, IQR) periods of post-pneumonia onset MV (16.5 [14.5-20] and 15 [12-18] days, respectively) compared with those whose initial therapy was adequate (8 [6-13] days, P < 0.001) and those whose infections were caused by non-MDR PA (10.5 [6.5-13] days, P = 0.01). CONCLUSIONS: Our findings highlight the importance of IIAT as a risk factor for mortality in ICU patients with PA pneumonia. MDR in the PA isolate, like IIAT, can significantly increase the need for MV.

Effect of aerosolized colistin as adjunctive treatment on the outcomes of microbiologically documented ventilator-associated pneumonia caused by colistin-only susceptible gram-negative bacteria.

BACKGROUND: The increasing frequency of ventilator-associated pneumonia (VAP) caused by colistin-only susceptible (COS) gram-negative bacteria (GNB) is of great concern. Adjunctive aerosolized (AS) colistin can reportedly increase alveolar levels of the drug without increasing systemic toxicity. Good clinical results have been obtained in patients with cystic fibrosis, but conflicting data have been reported in patients with VAP. METHODS: We conducted a retrospective, 1:1 matched case-control study to evaluate the efficacy and safety of AS plus IV colistin vs IV colistin alone in 208 patients in the ICU with VAP caused by COS Acinetobacter baumannii, Pseudomonas aeruginosa, or Klebsiella pneumoniae. RESULTS: Compared with the IV colistin cohort, the AS-IV colistin cohort had a higher clinical cure rate (69.2% vs 54.8%, P = .03) and required fewer days of mechanical ventilation after VAP onset (8 days vs 12 days, P = .001). In the 166 patients with posttreatment cultures, eradication of the causative organism was also more common in the AS-IV colistin group (63.4% vs 50%, P = .08). No between-cohort differences were observed in all-cause ICU mortality, length of ICU stay after VAP onset, or rates of acute kidney injury (AKI) during colistin therapy. Independent predictors of clinical cure were trauma-related ICU admission (P = .01) and combined AS-IV colistin therapy (P = .009). Higher mean Simplified Acute Physiology Score II (P = .002) and Sequential Organ Failure Assessment (P = .05) scores, septic shock (P < .001), and AKI onset during colistin treatment (P = .04) were independently associated with clinical failure. CONCLUSIONS: Our results suggest that AS colistin might be a beneficial adjunct to IV colistin in the management of VAP caused by COS GNB.

An integrated video-analysis software system designed for movement detection and sleep analysis. Validation of a tool for the behavioural study of sleep.

OBJECTIVE: The aim of the present study was to develop and validate a software tool for the detection of movements during sleep, based on the automated analysis of video recordings. This software is aimed to detect and quantify movements and to evaluate periods of sleep and wake. METHODS: We applied an open-source software, previously distributed on the web (Zoneminder, ZM), meant for video surveillance. A validation study was performed: computed movement analysis was compared with two standardised, 'gold standard' methods for the analysis of sleep-wake cycles: actigraphy and laboratory-based video-polysomnography. RESULTS: Sleep variables evaluated by ZM were not different from those measured by traditional sleep-scoring systems. Bland-Altman plots showed an overlap between the scores obtained with ZM, PSG and actigraphy, with a slight tendency of ZM to overestimate nocturnal awakenings. ZM showed a good degree of accuracy both with respect to PSG (79.9%) and actigraphy (83.1%); and had very high sensitivity (ZM vs. PSG: 90.4%; ZM vs. actigraphy: 89.5%) and relatively lower specificity (ZM vs. PSG: 42.3%; ZM vs. actigraphy: 65.4%). CONCLUSIONS: The computer-assisted motion analysis is reliable and reproducible, and it can allow a reliable esteem of some sleep and wake parameters. The motion-based sleep analysis shows a trend to overestimate wakefulness. SIGNIFICANCE: The possibility to measure sleep from video recordings may be useful in those clinical and experimental conditions in which traditional PSG studies may not be performed.

Decompressive craniectomy for elderly patients with traumatic brain injury: it's probably not worth the while.

Decompressive craniectomy (DC) has been regarded as an ultima ratio measure in the treatment of refractory intracranial hypertension after brain injury. Most discussion about its benefits is based on studies performed in patients who are <65 years of age. The aim of this study was to identify patients aged ≥66 years who underwent DC after traumatic brain injury (TBI), in order to assess patient outcome and to correlate the values of potential predictors of survival on prognosis. From January 2002 to December 2009, 44 patients aged ≥66 underwent DC (follow-up, 12-102 months). Potential predictors of outcome were analyzed, including age, post-resuscitation Glasgow Coma Scale (GCS) score, presence of mass lesion, Simplified Acute Physiology Score (SAPS) II, Injury Severity Score (ISS), and timing of surgical decompression. Mortality was 48% at discharge from the intensive care unit (ICU), 57% at hospital discharge, and 77% at 1-year follow-up and at last follow-up. A bad outcome Glasgow Outcome Scale Dead-Vegetative State-Severely Disabled (GOS D-VS-SD) was observed in 36/44 patients both at hospital discharge and at 1-year follow-up. Mean SAPS II was 45.2 for patients who survived and 57.3 for patients who had died (p=0.0022). Patients who survived had a higher mean post-resuscitation GCS score (p=0.02). Logistical regression analysis indicated post-resuscitation GCS score as the only independent predictive factor for outcome. None of the 22 patients with a post-resuscitation GCS score of 3-5 had a good outcome, 2/10 (20%) patients with a post-resuscitation GCS score of 6-8 and 6/12 patients (50%) with a post-resuscitation GCS score ≥9 had a good outcome.

Diagnostic accuracy of passive leg raising for prediction of fluid responsiveness in adults: systematic review and meta-analysis of clinical studies.

PURPOSE: To systematically review the published evidence on the ability of passive leg raising-induced changes in cardiac output (PLR-cCO) and in arterial pulse pressure (PLR-cPP) to predict fluid responsiveness. METHODS: MEDLINE, EMBASE and the Cochrane Database of Systematic Reviews were screened. Clinical trials on human adults published as full-text articles in indexed journals were included. Two authors independently used a standardized form to extract data about study characteristics and results. Study quality was assessed by using the QUADAS scale. RESULTS: Nine articles including a total of 353 patients were included in the final analysis. Data are reported as point estimate (95% confidence intervals). The pooled sensitivity and specificity of PLR-cCO were 89.4% (84.1-93.4%) and 91.4% (85.9-95.2%) respectively. Diagnostic odds ratio was 89.0 (40.2-197.3). The pooled area under the receiver operating characteristics curve (AUC) was 0.95 (0.92-0.97). The pooled correlation coefficient r between baseline value of PLR-cCO and CO increase after fluid load was 0.81 (0.75-0.86). The pooled difference in mean PLR-cCO values between responders and non-responders was 17.7% (13.6-21.8%). No significant differences were identified between patients adapted to ventilator versus those with inspiratory efforts nor between patients in sinus rhythm versus those with arrhythmias. The pooled AUC for PLR-cPP was 0.76 (0.67-0.86) and was significantly lower than the AUC for PLR-cCO (p < 0.001). The pooled difference in mean PLR-cPP values between responders and non-responders was 10.3% (6.5-14.1%). CONCLUSIONS: Passive leg raising-induced changes in cardiac output can reliably predict fluid responsiveness regardless of ventilation mode and cardiac rhythm. PLR-cCO has a significantly higher predictive value than PLR-cPP.