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Martín-Rodríguez F, Vaquerizo-Villar F, López-Izquierdo R, Castro-Villamor MA, Sanz-García A, Del Pozo-Vegas C, Hornero R. Derivation and validation of a blood biomarker score for 2-day mortality prediction from prehospital care: a multicenter, cohort, EMS-based study. Intern Emerg Med 2023; 18:1797-1806. [PMID: 37079244 PMCID: PMC10116443 DOI: 10.1007/s11739-023-03268-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 03/31/2023] [Indexed: 04/21/2023]
Abstract
Identifying potentially life-threatening diseases is a key challenge for emergency medical services. This study aims at examining the role of different prehospital biomarkers from point-of-care testing to derive and validate a score to detect 2-day in-hospital mortality. We conducted a prospective, observational, prehospital, ongoing, and derivation-validation study in three Spanish provinces, in adults evacuated by ambulance and admitted to the emergency department. A total of 23 ambulance-based biomarkers were collected from each patient. A biomarker score based on logistic regression was fitted to predict 2-day mortality from an optimum subset of variables from prehospital blood analysis, obtained through an automated feature selection stage. 2806 cases were analyzed, with a median age of 68 (interquartile range 51-81), 42.3% of women, and a 2-day mortality rate of 5.5% (154 non-survivors). The blood biomarker score was constituted by the partial pressure of carbon dioxide, lactate, and creatinine. The score fitted with logistic regression using these biomarkers reached a high performance to predict 2-day mortality, with an AUC of 0.933 (95% CI 0.841-0.973). The following risk levels for 2-day mortality were identified from the score: low risk (score < 1), where only 8.2% of non-survivors were assigned to; medium risk (1 ≤ score < 4); and high risk (score ≥ 4), where the 2-day mortality rate was 57.6%. The novel blood biomarker score provides an excellent association with 2-day in-hospital mortality, as well as real-time feedback on the metabolic-respiratory patient status. Thus, this score can help in the decision-making process at critical moments in life-threatening situations.
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Affiliation(s)
- Francisco Martín-Rodríguez
- Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain
- Advanced Life Support, Emergency Medical Services (SACYL), Valladolid, Spain
- Prehospital Early Warning Scoring-System Investigation Group, Valladolid, Spain
| | - Fernando Vaquerizo-Villar
- Biomedical Engineering Group, Facultad de Medicina, Universidad de Valladolid, Av. Ramón y Cajal, 7, 47003, Valladolid, Spain.
- CIBER-BBN, Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, Valladolid, Spain.
| | - Raúl López-Izquierdo
- Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain
- Prehospital Early Warning Scoring-System Investigation Group, Valladolid, Spain
- Emergency Department, Hospital Universitario Rio Hortega, Valladolid, Spain
| | - Miguel A Castro-Villamor
- Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain
- Prehospital Early Warning Scoring-System Investigation Group, Valladolid, Spain
| | - Ancor Sanz-García
- Prehospital Early Warning Scoring-System Investigation Group, Valladolid, Spain
- Health Research Institute, Hospital de la Princesa, Madrid (IIS-IP), Spain
| | - Carlos Del Pozo-Vegas
- Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain
- Prehospital Early Warning Scoring-System Investigation Group, Valladolid, Spain
- Emergency Department, Hospital Clínico Universitario, Valladolid, Spain
| | - Roberto Hornero
- Biomedical Engineering Group, Facultad de Medicina, Universidad de Valladolid, Av. Ramón y Cajal, 7, 47003, Valladolid, Spain
- CIBER-BBN, Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina, Valladolid, Spain
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Martín-Rodríguez F, Ortega GJ, Castro Villamor MA, Del Pozo Vegas C, Delgado Benito JF, Martín-Conty JL, Sanz-García A, López-Izquierdo R. Development of a prehospital lactic acidosis score for early-mortality. A prospective, multicenter, ambulance-based, cohort study. Am J Emerg Med 2023; 65:16-23. [PMID: 36580696 DOI: 10.1016/j.ajem.2022.12.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 12/02/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Lactic acidosis is a clinical status related to clinical worsening. Actually, higher levels of lactate is a well-established trigger of emergency situations. The aim of this work is to build-up a prehospital early warning score to predict 2-day mortality and intensive care unit (ICU) admission, constructed with other components of the lactic acidosis besides the lactate. METHODS Prospective, multicenter, observational, derivation-validation cohort study of adults evacuated by ambulance and admitted to emergency department with acute diseases, between January 1st, 2020 and December 31st, 2021. Including six advanced life support, thirty-eight basic life support units, referring to four hospitals (Spain). The primary and secondary outcome of the study were 2-day all-cause mortality and ICU-admission. The prehospital lactic acidosis (PLA) score was derived from the analysis of prehospital blood parameters associated with the outcome using a logistic regression. The calibration, clinical utility, and discrimination of PLA were determined and compared to the performance of each component of the score alone. RESULTS A total of 3334 patients were enrolled. The final PLA score included: lactate, pCO2, and pH. For 2-day mortality, the PLA showed an AUC of 0.941 (95%CI: 0.914-0.967), a better performance in calibration, and a higher net benefit as compared to the other score components alone. For the ICU admission, the PLA only showed a better performance for AUC: 0.75 (95%CI: 0.706-0.794). CONCLUSIONS Our results showed that PLA predicts 2-day mortality better than other lactic acidosis components alone. Including PLA score in prehospital setting could improve emergency services decision-making.
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Affiliation(s)
- Francisco Martín-Rodríguez
- Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain; Advanced Life Support, Emergency Medical Services (SACYL), Valladolid, Spain; Prehospital early warning scoring-system investigation group, Valladolid, Spain
| | - Guillermo J Ortega
- Health Research Institute, Hospital de la Princesa, Madrid (IIS-IP), Spain; CONICET, Argentina
| | - Miguel A Castro Villamor
- Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain; Prehospital early warning scoring-system investigation group, Valladolid, Spain
| | - Carlos Del Pozo Vegas
- Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain; Prehospital early warning scoring-system investigation group, Valladolid, Spain; Emergency Department, Hospital Clínico Universitario, Valladolid, Spain
| | - Juan F Delgado Benito
- Advanced Life Support, Emergency Medical Services (SACYL), Valladolid, Spain; Prehospital early warning scoring-system investigation group, Valladolid, Spain
| | - José L Martín-Conty
- Faculty of Health Sciences, Universidad de Castilla la Mancha, Talavera de la Reina, Spain
| | - Ancor Sanz-García
- Prehospital early warning scoring-system investigation group, Valladolid, Spain; Health Research Institute, Hospital de la Princesa, Madrid (IIS-IP), Spain.
| | - Raúl López-Izquierdo
- Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain; Prehospital early warning scoring-system investigation group, Valladolid, Spain; Emergency Department, Hospital Universitario Rio Hortega, Valladolid, Spain
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Martín-Rodríguez F, Sanz-García A, Castro-Portillo E, Delgado-Benito JF, Del Pozo Vegas C, Ortega Rabbione G, Martín-Herrero F, Martín-Conty JL, López-Izquierdo R. Prehospital troponin as a predictor of early clinical deterioration. Eur J Clin Invest 2021; 51:e13591. [PMID: 34002363 DOI: 10.1111/eci.13591] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 02/01/2021] [Accepted: 04/09/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND OBJECTIVES Elevated troponin T (cTnT) values are associated with comorbidities and early mortality, in both cardiovascular and noncardiovascular diseases. The objective of this study is to evaluate the prognostic accuracy of the sole utilization of prehospital point-of-care cardiac troponin T to identify the risk of early in-hospital deterioration, including mortality within 28 days. METHODS We conducted a prospective, multicentric, controlled, ambulance-based, observational study in adults with acute diseases transferred with high priority by ambulance to emergency departments, between 1 January and 30 September 2020. Patients with hospital diagnosis of acute coronary syndrome were excluded. The discriminative power of the predictive cTnT was assessed through a discrimination model trained using a derivation cohort and evaluated by the area under the curve of the receiver operating characteristic on a validation cohort. RESULTS A total of 848 patients were included in our study. The median age was 68 years (25th-75th percentiles: 50-81 years), and 385 (45.4%) were women. The mortality rate within 28 days was 12.4% (156 cases). The predictive ability of cTnT to predict mortality presented an area under the curve of 0.903 (95% CI: 0.85-0.954; P < .001). Risk stratification was performed, resulting in three categories with the following optimal cTnT cut-off points: high risk greater than or equal to 100, intermediate risk 40-100 and low risk less than 40 ng/L. In the high-risk group, the mortality rate was 61.7%, and on the contrary, the low-risk group presented a mortality of 2.3%. CONCLUSIONS The implementation of a routine determination of cTnT on the ambulance in patients transferred with high priority to the emergency department can help to stratify the risk of these patients and to detect unknown early clinical deterioration.
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Affiliation(s)
- Francisco Martín-Rodríguez
- Advanced Life Support Unit, Gerencia de Emergencias Sanitarias, Gerencia Regional de Salud de Castilla y León (SACYL), Valladolid, Spain.,Advanced Clinical Simulation Center, Medicine Faculty, Valladolid University, Valladolid, Spain
| | - Ancor Sanz-García
- Data Analysis Unit, Health Research Institute, Hospital de la Princesa, Madrid (IIS-IP), Spain
| | - Enrique Castro-Portillo
- Emergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), Salamanca, Spain
| | - Juan F Delgado-Benito
- Advanced Life Support Unit, Gerencia de Emergencias Sanitarias, Gerencia Regional de Salud de Castilla y León (SACYL), Valladolid, Spain
| | - Carlos Del Pozo Vegas
- Emergency Department, Hospital Clínico Universitario de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), Salamanca, Spain
| | - Guillermo Ortega Rabbione
- Data Analysis Unit, Health Research Institute, Hospital de la Princesa, Madrid (IIS-IP), Spain.,National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Francisco Martín-Herrero
- Department of Cardiology, Complejo Asistencial de Salamanca, Gerencia Regional de Salud de Castilla y León (SACYL), Salamanca, Spain
| | - José Luis Martín-Conty
- Faculty of Health Sciences, Universidad de Castilla la Mancha, Talavera de la Reina, Spain
| | - Raúl López-Izquierdo
- Emergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), Salamanca, Spain
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Martín-Rodríguez F, López-Izquierdo R, Medina-Lozano E, Ortega Rabbione G, Del Pozo Vegas C, Carbajosa Rodríguez V, Castro Villamor MÁ, Sánchez-Soberon I, Sanz-García A. Accuracy of prehospital point-of-care lactate in early in-hospital mortality. Eur J Clin Invest 2020; 50:e13341. [PMID: 32648960 DOI: 10.1111/eci.13341] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 06/21/2020] [Accepted: 07/05/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND Emergency medical services (EMS) routinely face complex scenarios where decisions should be taken with limited clinical information. The development of fast, reliable and easy to perform warning biomarkers could help in such decision-making processes. The present study aims at characterizing the validity of point-of-care lactate (pLA) during prehospital tasks for predicting in-hospital mortality within two days after the EMS assistance. MATERIALS AND METHODS Prospective, multicentric, ambulance-based and controlled observational study without intervention, including six advanced life support and five hospitals. The pLA levels were recorded during EMS assistance of adult patients. The validity of pLA to determine the in-hospital mortality was assessed by the area under the curve (AUC) of the receiver operating curve (ROC). RESULTS A total of 2997 patients were considered in the study, with a median of 69 years (IQR 54-81) and 41.4% of women. The median pLA value was 2.7 mmol/L (1.9-3.8) in survivors and 5.7 mmol/L (4.4-7.6) in nonsurvivors. The global discrimination level of pLA reached an AUC of 0.867, being 1.9 mmol/L and 4 mmol/L the cut-off point for low and high mortality. The discrimination value of pLA was not affected by sex, age or pathology. CONCLUSIONS Our results highlight the clinical importance of prehospital pLA to determine the in-hospital risk of mortality. The incorporation of pLA into the EMS protocols could improve the early identification of risky patients, leading to a better care of such patients.
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Affiliation(s)
- Francisco Martín-Rodríguez
- Advanced Clinical Simulation Center, School of Medicine, Valladolid University, Valladolid, Spain.,Emergency Medical Services-SACYL, Paseo Hospital Militar, Valladolid, Spain
| | - Raúl López-Izquierdo
- Advanced Clinical Simulation Center, School of Medicine, Valladolid University, Valladolid, Spain.,Emergency Department, Hospital Universitario Rio Hortega, Valladolid, Spain
| | - Elena Medina-Lozano
- Advanced Clinical Simulation Center, School of Medicine, Valladolid University, Valladolid, Spain
| | - Guillermo Ortega Rabbione
- Data Analysis Unit, Health Research Institute, Hospital de la Princesa (IIS-IP), Madrid, Spain.,Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), CABA, Argentina
| | | | | | | | | | - Ancor Sanz-García
- Data Analysis Unit, Health Research Institute, Hospital de la Princesa (IIS-IP), Madrid, Spain
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Clinical Utility of Delta Lactate for Predicting Early In-Hospital Mortality in Adult Patients: A Prospective, Multicentric, Cohort Study. Diagnostics (Basel) 2020; 10:diagnostics10110960. [PMID: 33212827 PMCID: PMC7697598 DOI: 10.3390/diagnostics10110960] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 11/12/2020] [Accepted: 11/16/2020] [Indexed: 12/23/2022] Open
Abstract
One of the challenges in the emergency department (ED) is the early identification of patients with a higher risk of clinical deterioration. The objective is to evaluate the prognostic capacity of ΔLA (correlation between prehospital lactate (pLA) and hospital lactate (hLA)) with respect to in-hospital two day mortality. We conducted a pragmatic, multicentric, prospective and blinded-endpoint study in adults who consecutively attended and were transported in advanced life support with high priority from the scene to the ED. The corresponding area under the receiver operating characteristics curve (AUROC) was obtained for each of the outcomes. In total, 1341 cases met the inclusion criteria. The median age was 71 years (interquartile range: 54–83 years), with 38.9% (521 cases) females. The total 2 day mortality included 106 patients (7.9%). The prognostic precision for the 2 day mortality of pLA and hLA was good, with an AUROC of 0.800 (95% CI: 0.74–0.85; p < 0.001) and 0.819 (95% CI: 0.76–0.86; p < 0.001), respectively. Of all patients, 31.5% (422 cases) had an ΔLA with a decrease of <10%, of which a total of 66 patients (15.6%) died. A lactate clearance ≥ 10% is associated with a lower risk of death in the ED, and this value could potentially be used as a guide to determine if a severely injured patient is improving in response to the established treatment.
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Fung AWS. Utilizing connectivity and data management system for effective quality management and regulatory compliance in point of care testing. Pract Lab Med 2020; 22:e00187. [PMID: 33204792 PMCID: PMC7649638 DOI: 10.1016/j.plabm.2020.e00187] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 10/30/2020] [Indexed: 12/13/2022] Open
Abstract
Point of care testing (POCT) is one of the fastest growing disciplines in clinical laboratory medicine. POCT devices are widely used in both acute and chronic patient management in the hospital and primary physician office settings. As demands for POCT in various healthcare settings increase, managing the quality and regulatory compliance are continually challenging. Despite technological advances in applying automatic system checks and built-in quality control to prevent analytical and operator errors, poor planning for POCT connectivity and informatics can limit data accessibility and management efficiency which impedes the utilization of POCT to its full potential. This article will summarize how connectivity and data management system can improve timely access to POCT results, effective management of POCT programs, and ensure regulatory compliance.
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Affiliation(s)
- Angela W S Fung
- Department of Pathology and Laboratory Medicine, St. Paul's Hospital, Vancouver, British Columbia, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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Kost GJ. Geospatial Science and Point-of-Care Testing: Creating Solutions for Population Access, Emergencies, Outbreaks, and Disasters. Front Public Health 2019; 7:329. [PMID: 32039125 PMCID: PMC6988819 DOI: 10.3389/fpubh.2019.00329] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 10/24/2019] [Indexed: 12/22/2022] Open
Abstract
Objectives: (a) To understand how to integrate geospatial concepts when implementing point-of-care testing (POCT); (b) to facilitate emergency, outbreak, and disaster preparedness and emergency management in healthcare small-world networks; (c) to enhance community resilience by using POCT in tandem with geographic information systems (GISs) and other geospatial tools; and (d) to advance crisis standards of care at points of need, adaptable and scalable for public health practice in limited-resource countries and other global settings. Content: Visual logistics help integrate and synthesize POCT and geospatial concepts. The resulting geospatial solutions presented here comprise: (1) small-world networks and regional topography; (2) space-time transformation, hubs, and asset mapping; (3) spatial and geospatial care paths™; (4) GIS-POCT; (5) isolation laboratories, diagnostics isolators, and mobile laboratories for highly infectious diseases; (6) alternate care facilities; (7) roaming POCT—airborne, ambulances, space, and wearables; (8) connected and wireless POCT outside hospitals; (9) unmanned aerial vehicles; (10) geospatial practice—demographic care unit resource scoring, geographic risk assessment, and national POCT policy and guidelines; (11) the hybrid laboratory; and (12) point-of-careology. Value: Small-world networks and their connectivity facilitate efficient and effective placement of POCT for optimal response, rescue, diagnosis, and treatment. Spatial care paths™ speed transport from primary encounters to referral centers bypassing topographic bottlenecks, process gaps, and time-consuming interruptions. Regional GISs position POCT close to where patients live to facilitate rapid triage, decrease therapeutic turnaround time, and conserve economic resources. Geospatial care paths™ encompass demographic and population access features. Timeliness creates value during acute illness, complex crises, and unexpected disasters. Isolation laboratories equipped with POCT help stop outbreaks and safely support critically ill patients with highly infectious diseases. POCT-enabled spatial grids can map sentinel cases and establish geographic limits of epidemics for ring vaccination. Impact: Geospatial solutions generate inherently optimal and logical placement of POCT conceptually, physically, and temporally as a means to improve crisis response and spatial resilience. If public health professionals, geospatial scientists, and POCT specialists join forces, new collaborative teamwork can create faster response and higher impact during disasters, complex crises, outbreaks, and epidemics, as well as more efficient primary, urgent, and emergency community care.
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Affiliation(s)
- Gerald J Kost
- Point-of-Care Testing Center for Teaching and Research (POCT·CTR™), University of California, Davis, Davis, CA, United States.,Knowledge Optimization®, Davis, CA, United States
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