| Literature DB >> 33802762 |
Brianna A Hildreth1, Giovanna Panarello2, Gennaro Martucci2, Fabio Tuzzolino3, Alberto Piacentini2, Giovanna Occhipinti2, Andrea Giunta4, Fabio Genco5, Giuseppe M Raffa6, Michele Pilato6, Guido Capitanio2, Antonio Arcadipane2.
Abstract
The retrieval and transport of patients from peripheral hospitals to high volume extracorporeal membrane oxygenation (ECMO) centers aims to reduce complications and improve survival. In Sicily (Italy), our institute houses a mobile ECMO team that serves a population of around 10 million people for a vast area in southern Italy and Malta. This observational, descriptive study includes all patients that required veno-venous (V-V) ECMO and transport by a mobile team between October 2009 and May 2020. Linear and multiple logistic regressions were applied to explore the risk factors for mortality in the ICU. Kaplan-Meier estimates were generated to predict the survival in patients transported by helicopter or ambulance, and the two cohorts were compared according to their baseline characteristics. Of 122 patients transported, 89 (73%) survived to ICU discharge (50 (41%) patients were transported by ambulance, and 72 (59%) were transported by helicopter). Independent predictive factors associated with mortality in a stepwise multiple regression model were prone positioning, acute kidney injury, and the number of days spent on mechanical ventilation (MV). Kaplan-Meier estimates for survival favored the helicopter cohort (79%) rather than the ambulance cohort (64%). Patients transported by helicopter had better pre-ECMO profiles, with shorter hospital and ICU stays, a shorter duration of MV use, and higher RESP scores, which indicate better survival probabilities. ECMO transport can be carried out safely over long distances; in rural areas with underdeveloped roads, transportation via helicopter or ambulance can extend the arm of the hospital to remote areas. Early ECMO initiation can be crucial in improving survival outcomes, and when transportation is the limiting factor to starting ECMO support, it should be attempted at the earliest logistical stage possible.Entities:
Keywords: ARDS; HEMS; helicopter; transportation
Year: 2021 PMID: 33802762 PMCID: PMC8002579 DOI: 10.3390/membranes11030210
Source DB: PubMed Journal: Membranes (Basel) ISSN: 2077-0375
Baseline characteristics, pre-ECMO profile, diagnosis, and treatment data.
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| Age (years) | 43 (36–54) |
| Male gender | 96 (78.69) |
| Weight (kg) | 82 (70–96) |
| Height (cm) | 170 (165–175) |
| BMI (kg/m2) | 28.0 (24.4–33.0) |
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| Hospital length of stay (days) | 6.2 (3.0–12.1) |
| ICU length of stay (days) | 4.0 (2.0–9.0) |
| Days on mechanical ventilation | 3.0 (2.0–8.0) |
| Prone positioning | 17 (14.05) |
| Nitric oxide | 17 (14.05) |
| PaO2/FiO2 | 60 (52–67) |
| SAPS II | 39 (31–46) |
| SOFA score | 8 (6–10) |
| Murray score | 3.5 (3.5–3.75) |
| PRESERVE score | 4 (3–5) |
| ECMOnet | 5.5 (5.0–7.0) |
| RESP Score | 2 (0–4) |
| Charlson comorbidity index | 1 (0–2) |
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| Diagnosis | |
| Viral pneumonia | 63 (51.63) |
| Bacterial pneumonia | 34 (27.87) |
| Trauma | 15 (12.30) |
| Other acute respiratory diagnosis | 7 (5.74) |
| Other chronic respiratory diagnosis | 2 (1.64) |
| Graft failure | 1 (0.82) |
| Drainage | 24 (23–25) |
| RBC volume (mL) | 1793 (750–3672) |
| RBC units | 7 (3–15) |
| FFP | 900 (500–1750) |
| Platelets | 880 (300–2071) |
| Hospital length of stay (days) | 33.0 (20.0–52.0) |
| ICU length of stay (days) | 28.0 (17.0–41.0) |
BMI: body mass index; ICU: intensive care unit; SAPS II: simplified acute physiology II score; SOFA score: sequential organ failure assessment; PRESERVE score: predictive death for severe ARDS on V-V ECMO; RESP Score: respiratory ECMO survival prediction score; RBC: red blood cells; FFP: fresh frozen plasma.
Figure 1The retrieval map illustrates the geographic distribution of retrievals by referral center, and the bar graph shows the variation in retrieval volume by year. The map was generated using three circles of varying sizes (small, medium, and large), which correspond to the number of retrievals (1–2, 2–3, and 5, respectively). For referral centers with more than five patients retrieved, visual overlay effects were applied. The bar graph depicts retrieval volume by year. White bars represent retrievals by ambulance (n = 50), red bars represent retrievals by helicopter (n = 72), and the gray line is the yearly retrieval variation for both cohorts combined (n = 122).
Rescue mission characteristics and complications.
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| Transport distance km (miles) | 140.4 (87.2) (3.4–200.2) (2.11–124.3) |
| Transport duration (hours) | 6.0 (3.0–7.5) |
| Helicopter | 72 (59.01%) |
| Ambulance | 50 (40.98%) |
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| Delays due to helicopter unavailability | 4 (3.3%) |
| Femoral artery lesion | 2 (1.6%) |
| Transport on V–A ECMO due to difficult cannulation | 1 (0.8%) |
| Oxygen flow error | 1 (0.8%) |
| Pump failure | 1 (0.8%) |
| Oxygenator failure | 1 (0.8%) |
| Power outage | 1 (0.8%) |
| Mortality during transport | 1 (0.8%) |
Figure 2The Kaplan–Meier curve illustrates the survival to ICU discharge rate for patients transported on ECMO. The red line represents patients transported by helicopter, and the blue line represents patients transported by ambulance. Crosses indicate censored data. Kaplan–Meier estimates for survival favored the helicopter cohort (79.2% to ICU discharge) rather than the ambulance cohort (64.0%). A Log rank test was performed, p value = 0.03.
Logistic regression of the association between predictive factors and mortality.
| 95% | CI | |||
|---|---|---|---|---|
| OR | Lower | Upper | ||
| Age (years) | 1.001 | 0.97 | 1.033 | 0.9547 |
| Sex (female) | 1.729 | 0.593 | 5.042 | 0.3157 |
| Weight (kg) | 0.993 | 0.975 | 1.011 | 0.4128 |
| Height (cm) | 1.016 | 0.974 | 1.059 | 0.4656 |
| BMI (kg/m2) | 0.959 | 0.9 | 1.022 | 0.1988 |
| Prone | 5.031 | 1.724 | 14.684 | 0.0003 |
| Nitric oxide | 3.75 | 1.304 | 10.78 | 0.0142 |
| Length of hospital stay pre-ECMO | 1.05 | 1.005 | 1.096 | 0.0295 |
| Length of ICU stay pre-ECMO | 1.064 | 1.004 | 1.128 | 0.037 |
| MV days pre-ECMO | 1.077 | 1.013 | 1.146 | 0.0179 |
| P/F | 1.006 | 0.975 | 1.037 | 0.7173 |
| Drainage | 0.857 | 0.675 | 1.087 | 0.2037 |
| SAPS II | 1.037 | 1 | 1.076 | 0.488 |
| SOFA | 1.056 | 0.928 | 1.203 | 0.4057 |
| Murray | 0.261 | 0.0049 | 1.375 | 0.1131 |
| PRESERVE | 1.153 | 0.935 | 1.421 | 0.1842 |
| ECMOnet | 1.205 | 0.832 | 1.744 | 0.3231 |
| RESP score | 0.9 | 0.79 | 1.026 | 0.1142 |
| Charlson | 1.146 | 0.874 | 1.502 | 0.3235 |
| RBC units | 1.035 | 1.006 | 1.064 | 0.0164 |
| FFP | 1.411 | 0.444 | 4.486 | 0.5598 |
| Total FFP (yes or no) | 1 | 0.998 | 1.001 | 0.5781 |
| Platelets | 5 | 2.123 | 11.775 | 0.0002 |
| Total platelets (yes or no) | 1.001 | 1 | 1.001 | 0.0387 |
| Transport distance (km) | 0.995 | 0.991 | 0.999 | 0.0108 |
| Transport duration (hours) | 0.83 | 0.704 | 0.978 | 0.0265 |
| AKI | 7.8 | 2.216 | 27.457 | 0.0014 |
| Furosemide | 1.755 | 0.725 | 4.248 | 0.2124 |
| CRRT | 10.673 | 3.455 | 32.97 | <0.001 |
| Creatinine | 1.048 | 0.833 | 1.318 | 0.6902 |
| MVD post | 0.861 | 0.791 | 0.938 | 0.0006 |
| Duration of ECMO support (days) | 1.008 | 1.004 | 1.012 | 0.0003 |