Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca
Objetivo: Validar la calculadora ACS-NSIQP® como predictor de riesgo para neumonía, evento cardíaco mayor y trombótico dentro de los primeros 30 días del postoperatorio en pacientes con cirugía no cardíaca. Materiales y métodos: Se realizó un estudio observacional, longitudinal, prospectivo, donde s...
- Autores:
-
Montealegre Losada, Mayra
Kortright Barbosa, Carlos
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2021
- Institución:
- Universidad Libre
- Repositorio:
- RIU - Repositorio Institucional UniLibre
- Idioma:
- spa
- OAI Identifier:
- oai:repository.unilibre.edu.co:10901/21194
- Acceso en línea:
- https://hdl.handle.net/10901/21194
- Palabra clave:
- Evaluación preoperatoria
Complicaciones posoperatorias
Neumonía
Infarto del miocardio
Tromboembolia
Surgical clearance
Postoperative complications
Pneumonia
Myocardial infarction
Thromboembolism
Enfermedades respiratorias
Trombosis venosa
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca |
| title |
Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca |
| spellingShingle |
Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca Evaluación preoperatoria Complicaciones posoperatorias Neumonía Infarto del miocardio Tromboembolia Surgical clearance Postoperative complications Pneumonia Myocardial infarction Thromboembolism Enfermedades respiratorias Trombosis venosa |
| title_short |
Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca |
| title_full |
Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca |
| title_fullStr |
Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca |
| title_full_unstemmed |
Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca |
| title_sort |
Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca |
| dc.creator.fl_str_mv |
Montealegre Losada, Mayra Kortright Barbosa, Carlos |
| dc.contributor.advisor.none.fl_str_mv |
Rojano Rada, Jairo Alberto |
| dc.contributor.author.none.fl_str_mv |
Montealegre Losada, Mayra Kortright Barbosa, Carlos |
| dc.subject.spa.fl_str_mv |
Evaluación preoperatoria Complicaciones posoperatorias Neumonía Infarto del miocardio Tromboembolia |
| topic |
Evaluación preoperatoria Complicaciones posoperatorias Neumonía Infarto del miocardio Tromboembolia Surgical clearance Postoperative complications Pneumonia Myocardial infarction Thromboembolism Enfermedades respiratorias Trombosis venosa |
| dc.subject.subjectenglish.spa.fl_str_mv |
Surgical clearance Postoperative complications Pneumonia Myocardial infarction Thromboembolism |
| dc.subject.lemb.spa.fl_str_mv |
Enfermedades respiratorias Trombosis venosa |
| description |
Objetivo: Validar la calculadora ACS-NSIQP® como predictor de riesgo para neumonía, evento cardíaco mayor y trombótico dentro de los primeros 30 días del postoperatorio en pacientes con cirugía no cardíaca. Materiales y métodos: Se realizó un estudio observacional, longitudinal, prospectivo, donde se determinó riesgo de complicaciones post-quirúrgicas en pacientes sometidos a cirugía no cardiaca, en de las instituciones de la red pública hospitalaria de Barranquilla, durante el periodo comprendido de septiembre de 2020 a marzo de 2021, aplicándose la calculadora ACS-NSQIP® y las escalas de LEE, ACP y Caprini antes de la cirugía, posteriormente se realiza control postoperatorio mediante llamada telefónica a los 30 días. Resultados: De un total de 262 pacientes, el grupo etario con mayor representación fue <65 años 59,9% (n=157), correspondiendo el 51,1 % (n=134) al sexo femenino, la mayoría con independencia funcional 91,6% (n=240). Los antecedentes médicos más encontrados fueron diabetes 33,2% (n=87) e HTA 23,3% (n=61) y los farmacológicos, uso de insulina 22,1% (n=58) y antihipertensivos 21,85 (n=57). El servicio que más realizó procedimientos fue el de ortopedia 69,8% (n=183). Hubo 16 complicaciones, con más frecuencia neumonía en 3,1% (n=8) seguido por trombosis venosa profunda 1,9% (n=5) y evento cardiaco mayor 1,1% (n=3). La estimación de riesgo para neumonía fue de AUC 0.90 (IC 95% 0,77-1,0) y trombosis venosa profunda fue de AUC 0,759 (IC 95% 0,557-0,962), evidenciando una asociación significativa para el evento correspondiente. Conclusión: La calculadora de riesgo universal ACS-NSQIP® tiene utilidad aceptable, para predecir complicaciones postoperatorias como neumonía y trombosis venosa profunda. |
| publishDate |
2021 |
| dc.date.created.none.fl_str_mv |
2021-05 |
| dc.date.accessioned.none.fl_str_mv |
2022-02-16T19:52:44Z |
| dc.date.available.none.fl_str_mv |
2022-02-16T19:52:44Z |
| dc.type.local.spa.fl_str_mv |
Tesis de Especialización |
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info:eu-repo/semantics/acceptedVersion |
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https://hdl.handle.net/10901/21194 |
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instname:Universidad Libre |
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instname:Universidad Libre reponame:Repositorio Institucional Universidad Libre |
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Rojano Rada, Jairo AlbertoMontealegre Losada, MayraKortright Barbosa, CarlosBarranquilla2022-02-16T19:52:44Z2022-02-16T19:52:44Z2021-05https://hdl.handle.net/10901/21194instname:Universidad Librereponame:Repositorio Institucional Universidad LibreObjetivo: Validar la calculadora ACS-NSIQP® como predictor de riesgo para neumonía, evento cardíaco mayor y trombótico dentro de los primeros 30 días del postoperatorio en pacientes con cirugía no cardíaca. Materiales y métodos: Se realizó un estudio observacional, longitudinal, prospectivo, donde se determinó riesgo de complicaciones post-quirúrgicas en pacientes sometidos a cirugía no cardiaca, en de las instituciones de la red pública hospitalaria de Barranquilla, durante el periodo comprendido de septiembre de 2020 a marzo de 2021, aplicándose la calculadora ACS-NSQIP® y las escalas de LEE, ACP y Caprini antes de la cirugía, posteriormente se realiza control postoperatorio mediante llamada telefónica a los 30 días. Resultados: De un total de 262 pacientes, el grupo etario con mayor representación fue <65 años 59,9% (n=157), correspondiendo el 51,1 % (n=134) al sexo femenino, la mayoría con independencia funcional 91,6% (n=240). Los antecedentes médicos más encontrados fueron diabetes 33,2% (n=87) e HTA 23,3% (n=61) y los farmacológicos, uso de insulina 22,1% (n=58) y antihipertensivos 21,85 (n=57). El servicio que más realizó procedimientos fue el de ortopedia 69,8% (n=183). Hubo 16 complicaciones, con más frecuencia neumonía en 3,1% (n=8) seguido por trombosis venosa profunda 1,9% (n=5) y evento cardiaco mayor 1,1% (n=3). La estimación de riesgo para neumonía fue de AUC 0.90 (IC 95% 0,77-1,0) y trombosis venosa profunda fue de AUC 0,759 (IC 95% 0,557-0,962), evidenciando una asociación significativa para el evento correspondiente. Conclusión: La calculadora de riesgo universal ACS-NSQIP® tiene utilidad aceptable, para predecir complicaciones postoperatorias como neumonía y trombosis venosa profunda.Objective: To validate the ACS-NSIQP® calculator as a risk predictor for pneumonia, major cardiac event and thrombotic within the first 30 postoperative days in patients with non-cardiac surgery. Materials and methods: An observational, longitudinal, prospective study was carried out, where the risk of post-surgical complications was determined in patients undergoing non-cardiac surgery, in the institutions of the public hospital network of Barranquilla, during the period of September 2020 to March 2021, applying the ACS-NSQIP® calculator and the LEE, ACP and Caprini scales before surgery, afterwards, post-operative control is carried out by phone call after 30 days. Results: Of a total of 262 patients, the age group with the highest representation was <65 years 59.9% (n = 157), 51.1% (n = 134) corresponding to the female sex, the majority with functional independence 91,6% (n = 240). The most common medical history was diabetes 33.2% (n = 87) and hypertension 23.3% (n = 61) and the pharmacological ones, use of insulin 22.1% (n = 58) and antihypertensive drugs 21.85 (n = 57). The department that performed the most procedures was orthopedics, 69.8% (n = 183). There were 16 complications, with more frequent pneumonia in 3.1% (n = 8) followed by deep vein thrombosis 1.9% (n = 5) and a major cardiac event 1.1% (n = 3). The risk estimate for pneumonia was AUC 0.90 (95% CI 0.77-1.0) and deep vein thrombosis was AUC 0.759 (95% CI 0.557- 0.962), showing a significant association for the corresponding event. Conclusion: The ACS-NSQIP® universal risk calculator has acceptable utility to predict postoperative complications such as pneumonia and deep vein thrombosis.PDFspahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Atribución-NoComercial-SinDerivadas 2.5 Colombiainfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Evaluación preoperatoriaComplicaciones posoperatoriasNeumoníaInfarto del miocardioTromboemboliaSurgical clearancePostoperative complicationsPneumoniaMyocardial infarctionThromboembolismEnfermedades respiratoriasTrombosis venosaValor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiacaTesis de Especializacióninfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesisEtzioni David A., Liu Jerome H., Maggard Melinda A., Ko Clifford Y. 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Disponible en: https://thejns.org/view/journals/j-neurosurg/121/4/article-p908.xmlTHUMBNAILTesis Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca.pdf.jpgTesis Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca.pdf.jpgIM Thumbnailimage/jpeg13039http://repository.unilibre.edu.co/bitstream/10901/21194/3/Tesis%20Valor%20predictivo%20de%20la%20calculadora%20ACS-NSQIP%20para%20determinar%20desenlaces%20cardiovasculares%20mayores%2c%20neumon%c3%ada%20y%20trombosis%20en%20poblaci%c3%b3n%20adulta%20sometida%20a%20cirug%c3%ada%20no%20cardiaca.pdf.jpgfaf8738d95ffda3d98ce155ff766a6e7MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repository.unilibre.edu.co/bitstream/10901/21194/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALTesis Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca.pdfTesis Valor predictivo de la calculadora ACS-NSQIP para determinar desenlaces cardiovasculares mayores, neumonía y trombosis en población adulta sometida a cirugía no cardiaca.pdfapplication/pdf1179891http://repository.unilibre.edu.co/bitstream/10901/21194/1/Tesis%20Valor%20predictivo%20de%20la%20calculadora%20ACS-NSQIP%20para%20determinar%20desenlaces%20cardiovasculares%20mayores%2c%20neumon%c3%ada%20y%20trombosis%20en%20poblaci%c3%b3n%20adulta%20sometida%20a%20cirug%c3%ada%20no%20cardiaca.pdfd278d2d1107d57aaf06c6ffd4f070154MD5110901/21194oai:repository.unilibre.edu.co:10901/211942022-10-11 12:08:25.888Repositorio Institucional Unilibrerepositorio@unilibrebog.edu.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 |