Method of non-invasive parameters for predicting the probability of early in-hospital death of patients in intensive care unit

2022 ◽  
Vol 73 ◽  
pp. 103405
Author(s):  
Pingan Wang ◽  
Jiameng Xu ◽  
Chengyi Wang ◽  
Guang Zhang ◽  
Huiquan Wang
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Death ◽  
Non Invasive

Respiratory distress syndrome in neonates with extremely low body weight: non-invasive respiratory therapy in the early neonatal period

2020 ◽  
Vol 15 (6) ◽  
pp. 94-102
Author(s):  
O.V. Zavyalov ◽  
◽  
V.V. Marenkov ◽  
A.A. Dementyev ◽  
I.N. Pasechnik ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Body Weight ◽  
Intensive Care ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Neonatal Period ◽  
Respiratory Therapy ◽  
Non Invasive ◽  
Early Neonatal Period

The aim of this study was to evaluate the efficacy of non-invasive respiratory therapy using the method of dual positive airway pressure (DuoPAP) via nasal prongs performed in the intensive care unit and neonatal intensive care unit in premature newborns with extremely low body weight and respiratory distress syndrome in the early neonatal period. We conducted a retrospective analysis of 55 medical records of premature newborns treated in the intensive care unit of the Perinatal Center at S.S. Yudin City Clinical Hospital during the first 7 days of their life. We included patients treated between January 2018 and December 2019. All newborns had extremely low body weight (850 ± 149 g); mean gestational age was 28 ± 4 weeks; Apgar score at the first minute of life varied between 3 and 6; Silverman Anderson score (severity of respiratory disorders) was between 3 and 5 s. Standard examination was performed in accordance with current protocols developed by Russian and foreign specialists in neonatal medicine. A specially developed clinical protocol of the study was approved by the local ethics committee. Study participants were divided into 3 groups according to their type of spontaneous respiratory efforts, target level of preductal saturation, and Silverman Anderson score. Patients in Group I received synchronized intermittent mandatory ventilation (SIMV); patients in Group II received ventilation using DuoPAP via nasal prongs (if it was ineffective, we considered SIMV via tube); patients in group III received ventilation using DuoPAP only. In this study, we have identified indications and contraindications for initial and prolonged respiratory therapy with DuoPAP and developed main practical recommendations for effective and safe application of DuoPAP. The efficacy and safety of non-invasive respiratory therapy with DuoPAP via nasal prongs in extremely premature infants with respiratory distress syndrome in the early neonatal period is primarily determined by the newborn’s readiness for active spontaneous and productive respiratory movements, but not only by the compensated parameters of the acid-base state and gas composition of the capillary blood. The assessment of feasibility and limitations of non-invasive respiratory therapy with DuoPAP is an important step towards developing a clinical protocol for respiratory therapy in the early neonatal period in a neonatal intensive care unit; it will help to reduce the use of invasive lung ventilation. Key words: premature newborns, non-invasive respiratory therapy, respiratory distress syndrome, extremely low body weight

scholarly journals Risk Factors Associated with Mechanical Ventilation in Critical Bronchiolitis

Children ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 1035
Author(s):  
Rachel K. Marlow ◽  
Sydney Brouillette ◽  
Vannessa Williams ◽  
Ariann Lenihan ◽  
Nichole Nemec ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Medical Center ◽  
Invasive Mechanical Ventilation ◽  
Severity Of Illness ◽  
Pediatric Intensive Care ◽  
Respiratory Support ◽  
Non Invasive ◽  
Lengths Of Stay

The American Academy of Pediatrics (AAP) recommends supportive care for the management of bronchiolitis. However, patients admitted to the intensive care unit with severe (critical) bronchiolitis define a unique group with varying needs for both non-invasive and invasive respiratory support. Currently, no guidance exists to help clinicians discern who will progress to invasive mechanical support. Here, we sought to identify key clinical features that distinguish pediatric patients with critical bronchiolitis requiring invasive mechanical ventilation from those that did not. We conducted a retrospective cohort study at a tertiary pediatric medical center. Children ≤2 years old admitted to the pediatric intensive care unit (PICU) from January 2015 to December 2019 with acute bronchiolitis were studied. Patients were divided into non-invasive respiratory support (NRS) and invasive mechanical ventilation (IMV) groups; the IMV group was further subdivided depending on timing of intubation relative to PICU admission. Of the 573 qualifying patients, 133 (23%) required invasive mechanical ventilation. Median age and weight were lower in the IMV group, while incidence of prematurity and pre-existing neurologic or genetic conditions were higher compared to the NRS group. Multi-microbial pneumonias were diagnosed more commonly in the IMV group, in turn associated with higher severity of illness scores, longer PICU lengths of stay, and more antibiotic usage. Within the IMV group, those intubated earlier had a shorter duration of mechanical ventilation and PICU length of stay, associated with lower pathogen load and, in turn, shorter antibiotic duration. Taken together, our data reveal that critically ill patients with bronchiolitis who require mechanical ventilation possess high risk features, including younger age, history of prematurity, neurologic or genetic co-morbidities, and a propensity for multi-microbial infections.

scholarly journals Clinical course and severity outcome indicators among COVID 19 hospitalized patients in relation to comorbidities distribution Mexican cohort

2020 ◽  
Author(s):  
Genny Carrillo ◽  
Nina Mendez Dominguez ◽  
Kassandra D Santos Zaldivar ◽  
Andrea Rochel Perez ◽  
Mario Azuela Morales ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Respiratory Diseases ◽  
Risk Estimation ◽  
Clinical Manifestations ◽  
Case Fatality ◽  
Hospitalized Patients ◽  
Hospital Death ◽  
Outcome Indicators

Introduction: COVID-19 affected worldwide, causing to date, around 500,000 deaths. In Mexico, by April 29, the general case fatality was 6.52%, with 11.1% confirmed case mortality and hospital recovery rate around 72%. Once hospitalized, the odds for recovery and hospital death rates depend mainly on the patients' comorbidities and age. In Mexico, triage guidelines use algorithms and risk estimation tools for severity assessment and decision-making. The study's objective is to analyze the underlying conditions of patients hospitalized for COVID-19 in Mexico concerning four severity outcomes. Materials and Methods: Retrospective cohort based on registries of all laboratory-confirmed patients with the COVID-19 infection that required hospitalization in Mexico. Independent variables were comorbidities and clinical manifestations. Dependent variables were four possible severity outcomes: (a) pneumonia, (b) mechanical ventilation (c) intensive care unit, and (d) death; all of them were coded as binary Results: We included 69,334 hospitalizations of laboratory-confirmed and hospitalized patients to June 30, 2020. Patients were 55.29 years, and 62.61% were male. Hospital mortality among patients aged<15 was 9.11%, 51.99% of those aged >65 died. Male gender and increasing age predicted every severity outcome. Diabetes and hypertension predicted every severity outcome significantly. Obesity did not predict mortality, but CKD, respiratory diseases, cardiopathies were significant predictors. Conclusion: Obesity increased the risk for pneumonia, mechanical ventilation, and intensive care admittance, but it was not a predictor of in-hospital death. Patients with respiratory diseases were less prone to develop pneumonia, to receive mechanical ventilation and intensive care unit assistance, but they were at higher risk of in-hospital death.

scholarly journals COVID outcome prediction in the emergency department (COPE): using retrospective Dutch hospital data to develop simple and valid models for predicting mortality and need for intensive care unit admission in patients who present at the emergency department with suspected COVID-19

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e051468
Author(s):  
David van Klaveren ◽  
Alexandros Rekkas ◽  
Jelmer Alsma ◽  
Rob J C G Verdonschot ◽  
Dick T J J Koning ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Emergency Department ◽  
Intensive Care ◽  
Outcome Prediction ◽  
Characteristic Curve ◽  
Hospital Death ◽  
Hospital Data ◽  
Dutch Hospital ◽  
Icu Admission ◽  
Second Wave

ObjectivesDevelop simple and valid models for predicting mortality and need for intensive care unit (ICU) admission in patients who present at the emergency department (ED) with suspected COVID-19.DesignRetrospective.SettingSecondary care in four large Dutch hospitals.ParticipantsPatients who presented at the ED and were admitted to hospital with suspected COVID-19. We used 5831 first-wave patients who presented between March and August 2020 for model development and 3252 second-wave patients who presented between September and December 2020 for model validation.Outcome measuresWe developed separate logistic regression models for in-hospital death and for need for ICU admission, both within 28 days after hospital admission. Based on prior literature, we considered quickly and objectively obtainable patient characteristics, vital parameters and blood test values as predictors. We assessed model performance by the area under the receiver operating characteristic curve (AUC) and by calibration plots.ResultsOf 5831 first-wave patients, 629 (10.8%) died within 28 days after admission. ICU admission was fully recorded for 2633 first-wave patients in 2 hospitals, with 214 (8.1%) ICU admissions within 28 days. A simple model—COVID outcome prediction in the emergency department (COPE)—with age, respiratory rate, C reactive protein, lactate dehydrogenase, albumin and urea captured most of the ability to predict death. COPE was well calibrated and showed good discrimination for mortality in second-wave patients (AUC in four hospitals: 0.82 (95% CI 0.78 to 0.86); 0.82 (95% CI 0.74 to 0.90); 0.79 (95% CI 0.70 to 0.88); 0.83 (95% CI 0.79 to 0.86)). COPE was also able to identify patients at high risk of needing ICU admission in second-wave patients (AUC in two hospitals: 0.84 (95% CI 0.78 to 0.90); 0.81 (95% CI 0.66 to 0.95)).ConclusionsCOPE is a simple tool that is well able to predict mortality and need for ICU admission in patients who present to the ED with suspected COVID-19 and may help patients and doctors in decision making.

scholarly journals Non-invasive mehanical ventilation at cardiology intensive care unit – our experience

2016 ◽  
Vol 11 (10-11) ◽  
pp. 541-541
Author(s):  
Tamara Kos ◽  
Katarina Arbanas ◽  
Petra Radovanić ◽  
Antonija Ašperger ◽  
Ana Gluhak
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Non Invasive

Association of Healthcare Access With Intensive Care Unit Utilization and Mortality in Patients of Hispanic Ethnicity Hospitalized With COVID-19

2021 ◽  
Vol 16 (11) ◽  
Author(s):  
Ferdinand Velasco ◽  
Donghan M Yang ◽  
Minzhe Zhang ◽  
Tanna Nelson ◽  
Thomas Sheffield ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Clinical Outcomes ◽  
Disease Severity ◽  
Healthcare System ◽  
Multivariable Analysis ◽  
Hospital Death ◽  
Primary Language ◽  
Hispanic Patients ◽  
English Speaking

BACKGROUND: Racial and ethnic minority groups in the United States experience a disproportionate burden of COVID-19 deaths. OBJECTIVE: To evaluate whether outcome differences between Hispanic and non-Hispanic COVID-19 hospitalized patients exist and, if so, to identify the main malleable contributing factors. DESIGN, SETTING, PARTICIPANTS: Retrospective, cross-sectional, observational study of 6097 adult COVID-19 patients hospitalized within a single large healthcare system from March to November 2020. EXPOSURES: Self-reported ethnicity and primary language. MAIN OUTCOMES AND MEASURES: Clinical outcomes included intensive care unit (ICU) utilization and in-hospital death. We used age-adjusted odds ratios (OR) and multivariable analysis to evaluate the associations between ethnicity/language groups and outcomes. RESULTS: 32.1% of patients were Hispanic, 38.6% of whom reported a non-English primary language. Hispanic patients were less likely to be insured, have a primary care provider, and have accessed the healthcare system prior to the COVID-19 admission. After adjusting for age, Hispanic inpatients experienced higher ICU utilization (non-English-speaking: OR, 1.75; 95% CI, 1.47-2.08; English-speaking: OR, 1.13; 95% CI, 0.95-1.33) and higher mortality (non-English-speaking: OR, 1.43; 95% CI, 1.10-1.86; English-speaking: OR, 1.53; 95% CI, 1.19-1.98) compared to non-Hispanic inpatients. There were no observed treatment disparities among ethnic groups. After adjusting for age, Hispanic inpatients had elevated disease severity at admission (non-English-speaking: OR, 2.27; 95% CI, 1.89-2.72; English-speaking: OR, 1.33; 95% CI, 1.10-1.61). In multivariable analysis, the associations between ethnicity/language and clinical outcomes decreased after considering baseline disease severity (P < .001). CONCLUSION: The associations between ethnicity and clinical outcomes can be explained by elevated disease severity at admission and limited access to healthcare for Hispanic patients, especially non-English-speaking Hispanics.

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