Cargando…

Clinical factors and pre-surgical depression scores predict pain intensity in cardiac surgery patients

BACKGROUND: Severe pain is prevalent in cardiac surgery patients and can increase cardiac complications, morbidity and mortality. The objectives of the study were to assess perioperative pain intensity and to assess predictors of pain post-cardiac surgery, including clinical characteristics and depr...

Descripción completa

Detalles Bibliográficos
Autores principales: Gohari, Jacob, Grosman-Rimon, Liza, Arazi, Mattan, Caspi-Avissar, Noa, Granot, Dina, Gleitman, Sagi, Badarny, Jawdat, Lubovich, Alla, Sudarsky, Doron, Rimon, Jordan, Carasso, Shemy, Birati, Edo Y., Kachel, Erez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252086/
https://www.ncbi.nlm.nih.gov/pubmed/35787245
http://dx.doi.org/10.1186/s12871-022-01740-3
_version_ 1784740184828411904
author Gohari, Jacob
Grosman-Rimon, Liza
Arazi, Mattan
Caspi-Avissar, Noa
Granot, Dina
Gleitman, Sagi
Badarny, Jawdat
Lubovich, Alla
Sudarsky, Doron
Rimon, Jordan
Carasso, Shemy
Birati, Edo Y.
Kachel, Erez
author_facet Gohari, Jacob
Grosman-Rimon, Liza
Arazi, Mattan
Caspi-Avissar, Noa
Granot, Dina
Gleitman, Sagi
Badarny, Jawdat
Lubovich, Alla
Sudarsky, Doron
Rimon, Jordan
Carasso, Shemy
Birati, Edo Y.
Kachel, Erez
author_sort Gohari, Jacob
collection PubMed
description BACKGROUND: Severe pain is prevalent in cardiac surgery patients and can increase cardiac complications, morbidity and mortality. The objectives of the study were to assess perioperative pain intensity and to assess predictors of pain post-cardiac surgery, including clinical characteristics and depression. METHODS: A total of 98 cardiac surgery patients were included in the study. Pain intensity was assessed using a Numerical Rating System. Pain was measured one day pre-operatively and recorded daily from Post-operative Day 2 to Day 7. Clinical data were recorded and depression scores were assessed using the Center for Epidemiological Study of Depression (CES-D). RESULTS: Pain intensity increased significantly during hospitalization from pre-operative levels, surging at 2 days post-operatively. Predictors of high pain intensity were high pre-operative CES-D scores, female gender, cardiac function, smoking and high body mass index (BMI). Significantly higher pre-operative CES-D scores were found in patients with severe pain compared to patients with no pain to moderate pain (18.23 ± 1.80 vs 12.84 ± 1.22, p = 0.01 pre-operatively). Patients with severe pain (NRS 7–10) had significantly higher levels of white blood cells (WBC) compared to patients with no pain-moderate pain (NRS 0–6), (p = 0.01). However, CES-D scores were only weakly correlated maximum WBC levels perioperatively. CONCLUSION: Pain intensity significantly increased following surgery, and was associated with depressive symptoms, female sex, cardiac function, BMI, and smoking. These factors may serve as a basis for identification and intervention to help prevent the transition from acute pain to chronic pain.
format Online
Article
Text
id pubmed-9252086
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-92520862022-07-05 Clinical factors and pre-surgical depression scores predict pain intensity in cardiac surgery patients Gohari, Jacob Grosman-Rimon, Liza Arazi, Mattan Caspi-Avissar, Noa Granot, Dina Gleitman, Sagi Badarny, Jawdat Lubovich, Alla Sudarsky, Doron Rimon, Jordan Carasso, Shemy Birati, Edo Y. Kachel, Erez BMC Anesthesiol Research BACKGROUND: Severe pain is prevalent in cardiac surgery patients and can increase cardiac complications, morbidity and mortality. The objectives of the study were to assess perioperative pain intensity and to assess predictors of pain post-cardiac surgery, including clinical characteristics and depression. METHODS: A total of 98 cardiac surgery patients were included in the study. Pain intensity was assessed using a Numerical Rating System. Pain was measured one day pre-operatively and recorded daily from Post-operative Day 2 to Day 7. Clinical data were recorded and depression scores were assessed using the Center for Epidemiological Study of Depression (CES-D). RESULTS: Pain intensity increased significantly during hospitalization from pre-operative levels, surging at 2 days post-operatively. Predictors of high pain intensity were high pre-operative CES-D scores, female gender, cardiac function, smoking and high body mass index (BMI). Significantly higher pre-operative CES-D scores were found in patients with severe pain compared to patients with no pain to moderate pain (18.23 ± 1.80 vs 12.84 ± 1.22, p = 0.01 pre-operatively). Patients with severe pain (NRS 7–10) had significantly higher levels of white blood cells (WBC) compared to patients with no pain-moderate pain (NRS 0–6), (p = 0.01). However, CES-D scores were only weakly correlated maximum WBC levels perioperatively. CONCLUSION: Pain intensity significantly increased following surgery, and was associated with depressive symptoms, female sex, cardiac function, BMI, and smoking. These factors may serve as a basis for identification and intervention to help prevent the transition from acute pain to chronic pain. BioMed Central 2022-07-04 /pmc/articles/PMC9252086/ /pubmed/35787245 http://dx.doi.org/10.1186/s12871-022-01740-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gohari, Jacob
Grosman-Rimon, Liza
Arazi, Mattan
Caspi-Avissar, Noa
Granot, Dina
Gleitman, Sagi
Badarny, Jawdat
Lubovich, Alla
Sudarsky, Doron
Rimon, Jordan
Carasso, Shemy
Birati, Edo Y.
Kachel, Erez
Clinical factors and pre-surgical depression scores predict pain intensity in cardiac surgery patients
title Clinical factors and pre-surgical depression scores predict pain intensity in cardiac surgery patients
title_full Clinical factors and pre-surgical depression scores predict pain intensity in cardiac surgery patients
title_fullStr Clinical factors and pre-surgical depression scores predict pain intensity in cardiac surgery patients
title_full_unstemmed Clinical factors and pre-surgical depression scores predict pain intensity in cardiac surgery patients
title_short Clinical factors and pre-surgical depression scores predict pain intensity in cardiac surgery patients
title_sort clinical factors and pre-surgical depression scores predict pain intensity in cardiac surgery patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252086/
https://www.ncbi.nlm.nih.gov/pubmed/35787245
http://dx.doi.org/10.1186/s12871-022-01740-3
work_keys_str_mv AT goharijacob clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT grosmanrimonliza clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT arazimattan clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT caspiavissarnoa clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT granotdina clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT gleitmansagi clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT badarnyjawdat clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT lubovichalla clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT sudarskydoron clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT rimonjordan clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT carassoshemy clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT biratiedoy clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients
AT kachelerez clinicalfactorsandpresurgicaldepressionscorespredictpainintensityincardiacsurgerypatients