Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population?
Background: Various scoring systems help in classifying the patient's risk preoperatively and hence to decide the best available treatment option. ACS-NSQIP score has been introduced in clinical practice for few years. This study was done to find out whether there is any difference between pred...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Medknow Publications
2022-01-01
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| Series: | Saudi Journal of Anaesthesia |
| Subjects: | |
| Online Access: | http://www.saudija.org/article.asp?issn=1658-354X;year=2022;volume=16;issue=2;spage=172;epage=175;aulast=Huda |
| _version_ | 1811271730617909248 |
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| author | Anwar U Huda Mohammad Yasir Nasrullah Sheikh Asad Z Khan |
| author_facet | Anwar U Huda Mohammad Yasir Nasrullah Sheikh Asad Z Khan |
| author_sort | Anwar U Huda |
| collection | DOAJ |
| description | Background: Various scoring systems help in classifying the patient's risk preoperatively and hence to decide the best available treatment option. ACS-NSQIP score has been introduced in clinical practice for few years. This study was done to find out whether there is any difference between predicted mortality from ACS-NSQIP score and observed mortality in Saudi population.
Methods: This prospective observational study was conducted at Security Forces Hospital, Riyadh, Kingdom of Saudi Arabia. We included patients undergoing elective and emergency surgical procedures in our hospital. Thirty days mortality data was collected and then observed to expected (O/E) mortality ratio was calculated. The sample size for our study was nine hundred and three (903) patients.
Results: The mean ACS-NSQIP mortality risk score (%) for the study was 0.49. Expected number of mortalities was 4.42 while observed mortalities were 11, yielding an O/E ratio of 2.48 (p-value 0.000). We did not find a significant difference between expected and observed mortalities except for ASA class 3 and 4 patients where expected numbers of mortalities were lower than observed (p-value < 0.05).
Conclusion: ACS-NSQIP can be reliably used for postoperative mortality prediction especially in lower risk groups. |
| first_indexed | 2024-04-12T22:25:11Z |
| format | Article |
| id | doaj.art-7f798511dc474ea6a279e0b0b171df8e |
| institution | Directory Open Access Journal |
| issn | 1658-354X |
| language | English |
| last_indexed | 2024-04-12T22:25:11Z |
| publishDate | 2022-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Saudi Journal of Anaesthesia |
| spelling | doaj.art-7f798511dc474ea6a279e0b0b171df8e2022-12-22T03:14:10ZengWolters Kluwer Medknow PublicationsSaudi Journal of Anaesthesia1658-354X2022-01-0116217217510.4103/sja.sja_734_21Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population?Anwar U HudaMohammad YasirNasrullah SheikhAsad Z KhanBackground: Various scoring systems help in classifying the patient's risk preoperatively and hence to decide the best available treatment option. ACS-NSQIP score has been introduced in clinical practice for few years. This study was done to find out whether there is any difference between predicted mortality from ACS-NSQIP score and observed mortality in Saudi population. Methods: This prospective observational study was conducted at Security Forces Hospital, Riyadh, Kingdom of Saudi Arabia. We included patients undergoing elective and emergency surgical procedures in our hospital. Thirty days mortality data was collected and then observed to expected (O/E) mortality ratio was calculated. The sample size for our study was nine hundred and three (903) patients. Results: The mean ACS-NSQIP mortality risk score (%) for the study was 0.49. Expected number of mortalities was 4.42 while observed mortalities were 11, yielding an O/E ratio of 2.48 (p-value 0.000). We did not find a significant difference between expected and observed mortalities except for ASA class 3 and 4 patients where expected numbers of mortalities were lower than observed (p-value < 0.05). Conclusion: ACS-NSQIP can be reliably used for postoperative mortality prediction especially in lower risk groups.http://www.saudija.org/article.asp?issn=1658-354X;year=2022;volume=16;issue=2;spage=172;epage=175;aulast=Hudaacs-nsqippostoperative mortalityrisk assessmentscoring system |
| spellingShingle | Anwar U Huda Mohammad Yasir Nasrullah Sheikh Asad Z Khan Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? Saudi Journal of Anaesthesia acs-nsqip postoperative mortality risk assessment scoring system |
| title | Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
| title_full | Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
| title_fullStr | Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
| title_full_unstemmed | Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
| title_short | Can ACS-NSQIP score be used to predict postoperative mortality in Saudi population? |
| title_sort | can acs nsqip score be used to predict postoperative mortality in saudi population |
| topic | acs-nsqip postoperative mortality risk assessment scoring system |
| url | http://www.saudija.org/article.asp?issn=1658-354X;year=2022;volume=16;issue=2;spage=172;epage=175;aulast=Huda |
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