Hospital Mechanical Ventilation Volume and Patient Outcomes: Too Much of a Good Thing?

Telemedicine critical care availability and outcomes among mechanically ventilated patients

PURPOSE

Telemedicine Critical Care (TCC) improves adherence to evidence based protocols associated with improved mortality among patients receiving invasive mechanical ventilation (IMV). We sought to evaluate the relationship between hospital availability of TCC and outcomes among patients receiving IMV.

MATERIALS AND METHODS

We performed a cross-sectional study of 66,522 adults who received IMV for non-postoperative acute respiratory failure at 318 non-federal hospitals in New York, Massachusetts, Maryland, and Florida in 2018. Hospital-level TCC availability was ascertained from the 2018 American Hospital Association Annual Survey. The primary outcome was in-hospital mortality. Secondary outcomes included the composite of tracheostomy or reintubation and duration of IMV. We used two-level hierarchical multivariable regression models to investigate the association between TCC availability and outcomes.

RESULTS

20,270 (30.5%) patients were admitted into 89 TCC-available hospitals. There was no difference between TCC and non-TCC-available hospitals in mortality (odds ratio [OR] 0.94, 99% confidence interval [CI] 0.84-1.05), composite of tracheostomy or reintubation (OR 0.95 [0.82-1.11], or duration of IMV (OR 0.95 [0.83-1.09]). There was no difference in outcomes among the subgroup of patients with acute respiratory distress syndrome.

CONCLUSIONS

Hospital TCC availability was not associated with improved outcomes among patients receiving IMV.

Relationship between institutional ventilated COVID-19 case volume and in-hospital death: A multicenter cohort study

BACKGROUND

The volume-outcome relationship in patients with severe Coronavirus disease 2019 (COVID-19) is unclear and is important for establishing a system for the medical care of severe COVID-19. This study aimed to evaluate the association between institutional case volume and outcomes in patients with ventilated COVID-19.

METHODS

We analyzed patients with severe COVID-19 on ventilatory control aged > 17 years who were enrolled in the J-RECOVER study, which is a retrospective multicenter observational study conducted between January 2020 and September 2020 in Japan. Based on the ventilated COVID-19 case volume, the higher one-third of institutions were defined as high-volume centers, the middle one-third as middle-volume centers, and the lower one-third as low-volume centers. The primary outcome measure was in-hospital mortality during hospitalization due to COVID-19. Multivariate logistic regression analysis for in-hospital mortality and ventilated COVID-19 case volume was performed after adjusting for multiple propensity scores and in-hospital variables. To estimate the multiple propensity score, we fitted a multinomial logistic regression model, which fell into one of the three groups based on patient demographics and prehospital factors.

RESULTS

We analyzed 561 patients who required ventilator management. In total, 159, 210, and 192 patients were admitted to low-volume (36 institutions, < 11 severe COVID-19 cases per institution during the study period), middle-volume (14 institutions, 11-25 severe cases per institution), and high-volume (5 institutions, > 25 severe cases per institution) centers, respectively. After adjustment for multiple propensity scores and in-hospital variables, admission to middle- and high-volume centers was not significantly associated with in-hospital death compared with admission to low-volume centers (adjusted odds ratio, 0.77 [95% confidence interval (CI): 0.46-1.29] and adjusted odds ratio, 0.76 [95% CI: 0.44-1.33], respectively).

CONCLUSIONS

There may be no significant relationship between institutional case volume and in-hospital mortality in patients with ventilated COVID-19.

Epidemiological profile and risk factors associated with death in patients receiving invasive mechanical ventilation in an adult intensive care unit from Brazil: a retrospective study

Introduction

Understanding the epidemiological profile and risk factors associated with invasive mechanical ventilation (IMV) is essential to manage the patients better and to improve health services. Therefore, our objective was to describe the epidemiological profile of adult patients in intensive care that required IMV in-hospital treatment. Also, to evaluate the risks associated with death and the influence of positive end-expiratory pressure (PEEP) and arterial oxygen pressure (PaO2) at admission in the clinical outcome.

Methods

We conducted an epidemiological study analyzing medical records of inpatients who received IMV from January 2016 to December 2019 prior to the Coronavirus Disease (COVID)-19 pandemic in Brazil. We considered the following characteristics in the statistical analysis: demographic data, diagnostic hypothesis, hospitalization data, and PEEP and PaO2 during IMV. We associated the patients' features with the risk of death using a multivariate binary logistic regression analysis. We adopted an alpha error of 0.05.

Results

We analyzed 1,443 medical records; out of those, 570 (39.5%) recorded the patients' deaths. The binary logistic regression was significant in predicting the patients' risk of death [X2(9) = 288.335; p < 0.001]. Among predictors, the most significant in relation to death risk were: age [elderly ≥65 years old; OR = 2.226 (95%CI = 1.728-2.867)]; male sex (OR = 0.754; 95%CI = 0.593-0.959); sepsis diagnosis (OR = 1.961; 95%CI = 1.481-2.595); need for elective surgery (OR = 0.469; 95%CI = 0.362-0.608); the presence of cerebrovascular accident (OR = 2.304; 95%CI = 1.502-3.534); time of hospital care (OR = 0.946; 95%CI = 0.935-0.956); hypoxemia at admission (OR = 1.635; 95%CI = 1.024-2.611), and PEEP >8 cmH2O at admission (OR = 2.153; 95%CI = 1.426-3.250).

Conclusion

The death rate of the studied intensive care unit was equivalent to that of other similar units. Regarding risk predictors, several demographic and clinical characteristics were associated with enhanced mortality in intensive care unit patients under mechanical ventilation, such as diabetes mellitus, systemic arterial hypertension, and older age. The PEEP >8 cmH2O at admission was also associated with increased mortality since this value is a marker of initially severe hypoxia.

Relationship between institutional intensive care volume prior to the COVID-19 pandemic and in-hospital death in ventilated patients with severe COVID-19

We aimed to evaluate the association between ICU patient volume before the COVID-19 pandemic and the outcomes of ventilated COVID-19 patients. We analyzed ventilated patients with COVID-19 aged > 17 years and enrolled in the J-RECOVER study, a retrospective multicenter observational study conducted in Japan between January and September 2020. Based on the number of patients admitted to the ICU between January and December 2019, the top third institutions were defined as high-volume centers, the middle third ones as middle-volume centers, and the bottom third ones as low-volume centers. The primary outcome measure was in-hospital mortality. Multivariate logistic regression analysis for in-hospital mortality and ICU patient volume was performed after adjusting for multiple propensity scores. Among 461 patients, 158, 158, and 145 patients were admitted to low-volume (20 institutions), middle-volume (14 institutions), and high-volume (13 institutions) centers, respectively. Admission to middle- and high-volume centers was not significantly associated with in-hospital death compared with admission to low-volume centers (adjusted odds ratio, 1.11 [95% confidence interval (CI): 0.55-2.25] and adjusted odds ratio, 0.81 [95% CI: 0.31-1.94], respectively). In conclusion, institutional intensive care patient volume prior to the COVID-19 pandemic was not significantly associated with in-hospital death in ventilated COVID-19 patients.

Annual hospital procedural volume and outcome in extracorporeal membrane oxygenation for respiratory failure

BACKGROUND

The hospital mortality of patients suffering from pulmonary failure requiring venovenous extracorporeal membrane oxygenation (V-V ECMO) or extracorporeal carbon dioxide removal (ECCO₂ R) is high. It is unclear whether outcome correlates with a hospital's annual procedural volume.

METHODS

Data on all V-V ECMO and ECCO₂ R cases treated from 2007 to 2019 was retrieved from the German Institute for Medical Documentation and Information. Comorbidities and outcomes were assessed by DRG, OPS, and ICD codes. The study population was divided into 5 groups depending on annual hospital V-V ECMO and ECCO₂ R volumes (<10 cases; 10-19 cases; 20-29 cases; 30-49 cases; ≥50 cases). Primary outcome was hospital mortality.

RESULTS

A total of 25,096 V-V ECMO and 3,607 ECCO₂ R cases were analyzed. V-V ECMO hospitals increased from 89 in 2007 to 214 in 2019. Hospitals handling <10 cases annually increased especially (64 in 2007 to 149 in 2019). V-V ECMO cases rose from 807 in 2007 to 2,597 in 2019. Over 50% were treated in hospitals handling ≥30 cases annually. Hospital mortality was independent of the annual hospital procedural volume (55.3%; 61.3%; 59.8%; 60.2%; 56.3%, respectively, p=0.287). We detected no differences when comparing hospitals handling <30 cases to those with ≥30 annually (p=0.659). The numbers of ECCO₂ R hospitals and cases has dropped since 2011 (287 in 2007 to 48 in 2019). No correlation between annual hospital procedural volume and hospital mortality was identified (p=0.914).

CONCLUSION

The number of hospitals treating patients requiring V-V ECMO and V-V ECMO cases rose from 2007 to 2019, while ECCO₂ R hospitals and their case numbers decreased. We detected no correlation between annual hospital V-V ECMO or ECCO₂ R volume and hospital mortality.

Hospital re-admission after critical care survival: a systematic review and meta-analysis

Survivors of critical illness frequently require increased healthcare resources after hospital discharge. We undertook a systematic review and meta-analysis to assess hospital re-admission rates following critical care admission and to explore potential re-admission risk factors. We searched the MEDLINE, Embase and CINAHL databases on 05 March 2020. Our search strategy incorporated controlled vocabulary and text words for hospital re-admission and critical illness, limited to the English language. Two reviewers independently applied eligibility criteria and assessed quality using the Newcastle Ottawa Score checklist and extracted data. The primary outcome was acute hospital re-admission in the year after critical care discharge. Of the 8851 studies screened, 87 met inclusion criteria and 41 were used within the meta-analysis. The analysis incorporated data from 3,897,597 patients and 741,664 re-admission episodes. Pooled estimates for hospital re-admission after critical illness were 16.9% (95%CI: 13.3-21.2%) at 30 days; 31.0% (95%CI: 24.3-38.6%) at 90 days; 29.6% (95%CI: 24.5-35.2%) at six months; and 53.3% (95%CI: 44.4-62.0%) at 12 months. Significant heterogeneity was observed across included studies. Three risk factors were associated with excess acute care rehospitalisation one year after discharge: the presence of comorbidities; events during initial hospitalisation (e.g. the presence of delirium and duration of mechanical ventilation); and subsequent infection after hospital discharge. Hospital re-admission is common in survivors of critical illness. Careful attention to the management of pre-existing comorbidities during transitions of care may help reduce healthcare utilisation after critical care discharge. Future research should determine if targeted interventions for at-risk critical care survivors can reduce the risk of subsequent rehospitalisation.

The association between cardiac intensive care unit mechanical ventilation volumes and in-hospital mortality

AIMS

The incidence of respiratory failure and use of invasive or non-invasive mechanical ventilation (MV) in the cardiac intensive care units (CICUs) is increasing. While institutional MV volumes are associated with reduced mortality in medical and surgical ICUs, this volume-mortality relationship has not been characterized in the CICU.

METHODS AND RESULTS

National population-based data were used to identify patients admitted to CICUs (2005-2015) requiring MV in Canada. CICUs were categorized into low (≤100), intermediate (101-300), and high (>300) volume centres based on spline knots identified in the association between annual MV volume and mortality. Outcomes of interest included all-cause in-hospital mortality, the proportion of patients requiring prolonged MV (>96 h) and CICU length of stay (LOS). Among 47 173 CICU admissions requiring MV, 89.5% (42 200) required invasive MV. The median annual CICU MV volume was 43 (inter-hospital range 1-490). Compared to low-volume centres (35.9%), in-hospital mortality was lower in intermediate [29.2%, adjusted odds ratio (aOR) 0.84, 95% confidence interval (CI) 0.72-0.97, P = 0.019] and high-volume (18.2%; aOR 0.82, 95% CI 0.66-1.02, P = 0.076) centres. Prolonged MV was higher in low-volume (29.2%) compared to high-volume (14.8%, aOR 0.70, 95% CI 0.55-0.89, P = 0.003) and intermediate-volume (23.0%, aOR 0.85, 95% CI 0.68-1.06, P = 0.14] centres. Mortality and prolonged MV were lower in percutaneous coronary intervention (PCI)-capable and academic centres, but a shorter CICU LOS was observed only in subgroup of PCI-capable intermediate- and high-volume hospitals.

CONCLUSIONS

In a national dataset, we observed that higher CICU MV volumes were associated with lower incidence of in-hospital mortality, prolonged MV, and CICU LOS. Our data highlight the need for minimum MV volume benchmarks for CICUs caring for patients with respiratory failure.

Patient-Level and Hospital-Level Risk Factors for In-Hospital Mortality in Patients Ventilated for More Than 24 Hours: Results of a Nationwide Cohort Study

BACKGROUND

Prolonged ventilation is associated with a high risk of death. This study investigated both patient-level and hospital-level risk factors for in-hospital mortality in patients ventilated for more than 24 hours.

METHODS

The analyses were conducted in the framework of a German national multicenter retrospective cohort study. Patient and hospital characteristics were examined using descriptive statistics. Risk factors of in-hospital mortality were analyzed using multilevel robust Poisson regressions for binary outcomes. Potential effect modifications were examined by stratified analyses.

RESULTS

The sample includes 95 672 cases of patients ventilated >24 hours in 163 hospitals covering the period 2016 to 2017. According to the results of multilevel Poisson regressions, main patient-level risk factors for in-hospital mortality were age (per year relative risk [RR] = 1.021, 95% CI = 1.020-1.023), stroke (RR = 1.459; 95% CI = 1.361-1.563), emergency case admission (RR = 1.273, 95% CI = 1.156-1.403), and transfer from another hospital (RR = 1.169, 95% CI = 1.084-1.261). The individual risk of in-hospital death was positively associated with hospital size (RR of hospitals with 600-799 beds vs <100 beds = 1.412, 95% CI = 1.095-1.820) and negatively related to cumulated ventilation patient time (per 1000 days RR = 0.995, 95% CI = 0.993-0.996). University hospital status was identified as an effect modifier, particularly with regard to the patients' admission reasons. The RR of in-hospital death in patients admitted after transfer from another hospital was higher in university hospitals (RR = 1.456, 95% CI = 1.298-1.634) compared to nonuniversity hospitals (RR = 1.077, 95% CI = 1.019-1.139). Likewise, patients admitted as emergency case had a higher relative risk in university hospitals (RR = 1.619, 95% CI = 1.359-1.929) than in nonuniversity hospitals (RR = 1.141, 95% CI = 1.080-1.205).

CONCLUSION

By providing evidence on multiple patient-level and hospital-level risk factors for in-hospital mortality in patients ventilated for more than 24 hours, this large multicenter study has main implications for quality assessment of clinical care and the adequate specification of risk adjustment models. The revealed effect modifications indicate the relevance of stratified analyses.

Gross motor developmental dysfunctional outcomes in infantile and toddler pediatric intensive care unit survivors

Background

Increasing studies have focused on motor function/dysfunction in PICU survivors; however, most studies have focused on adults and older children. This study investigated gross motor developmental function outcomes in infantile and toddler pediatric intensive care unit (PICU) survivors and the factors associated with gross motor developmental functions.

Methods

This observational study was conducted in the PICU of the First Hospital of Jilin University between January 2019 and March 2019. Thirty-five eligible patients were divided into the dysfunctional (n = 24) or non-dysfunctional (n = 11) group according to the results of the Peabody Developmental Motor Scales, Second Edition (PDMS-2). Baseline gross motor function for all participants before PICU admission was measured via the Age and Stages Questionnaires, Third Edition (ASQ-3). The PDMS-2 was used to evaluate gross motor development function before PICU discharge.

Results

The gross motor developmental dysfunction incidence was 68.6%. Linear correlation analysis showed that the gross motor quotient (GMQ) was positively correlated with the pediatric critical illness score (PCIS, r = 0.621, P < 0.001), and negatively correlated with length of PICU stay (r = − 0.556, P = 0.001), days sedated (r = − 0.602, P < 0.001), days on invasive mechanical ventilation (IMV; r = − 0.686, P < 0.001), and days on continuous renal replacement therapy (CRRT; r = − 0.538, P = 0.001). Linear regression analysis showed that IMV days (β = − 0.736, P = 0.001), sepsis (β = − 18.111, P = 0.003) and PCIS (β = 0.550, P = 0.021) were independent risk factors for gross motor developmental dysfunction.

Conclusions

Gross motor developmental dysfunction in infantile and toddler PICU survivors is more common and may be exacerbated by experiences associated with longer IMV days and increasing illness severity combined with sepsis.

Trial registration

The trial ‘Early rehabilitation intervention for critically ill children’ has been registered at http://www.chictr.org.cn/showproj.aspx?proj=23132. Registration number: ChiCTR1800020196.