Systematic review of prediction models for post-traumatic hypothermia risk
Post-traumatic hypothermia is a prevalent complication in trauma care, affecting up to 66 % of multiple trauma patients upon emergency admission and doubling trauma-related mortality. While risk prediction models for post-traumatic hypothermia have been developed, guidelines and evidence specific to...
Uloženo v:
| Vydáno v: | Injury Ročník 56; číslo 12; s. 112883 |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Netherlands
Elsevier Ltd
01.12.2025
|
| Témata: | |
| ISSN: | 0020-1383, 1879-0267, 1879-0267 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Post-traumatic hypothermia is a prevalent complication in trauma care, affecting up to 66 % of multiple trauma patients upon emergency admission and doubling trauma-related mortality. While risk prediction models for post-traumatic hypothermia have been developed, guidelines and evidence specific to their clinical utility—especially in pre-hospital and low- to middle-income country (LMIC) settings—remain scarce. This systematic review evaluates existing post-traumatic hypothermia risk prediction models, their performance characteristics, and applicability in diverse clinical contexts.
Databases including China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, China Biomedical Literature Database, PubMed, Web of Science, and Cochrane Library were searched from the time of database establishment to July 2025. Two researchers independently screened the literature, extracted relevant data, and conducted quality assessments. The included studies were analyzed to comprehensively evaluate the predictive models for post-traumatic hypothermia risk.
A total of 9 studies were included, comprising 9 predictive models for the risk of post-traumatic hypothermia, with a total sample size of 91 to 732 cases and 24 to 117 outcome events. The area under the receiver operating characteristic curve (AUC) for the predictive models ranged from 0.704 to 0.990, with specificity ranging from 50.6 % to 95.2 %. and sensitivity ranging from 70.9 % to 92.8 %. The most frequently identified predictive factors in the models were trauma severity, wet clothing, lack of warming measures, fluid resuscitation, and environmental temperature at the time of injury. The included risk prediction models demonstrated overall good applicability, but they had a high risk of bias, which was associated with limitations in sample selection, indicator selection and measurement, study design flaws, and inadequate model validation.
Although the predictive model for post-traumatic hypothermia risk demonstrates certain advantages in overall applicability and can provide reference for clinical prediction of post-traumatic hypothermia risk, it has a high risk of bias. Future studies should be conducted in a multicenter, large-sample setting to strengthen external validation of the model and test its performance in different clinical environments to ensure its stability and accuracy. |
|---|---|
| AbstractList | Post-traumatic hypothermia is a prevalent complication in trauma care, affecting up to 66 % of multiple trauma patients upon emergency admission and doubling trauma-related mortality. While risk prediction models for post-traumatic hypothermia have been developed, guidelines and evidence specific to their clinical utility—especially in pre-hospital and low- to middle-income country (LMIC) settings—remain scarce. This systematic review evaluates existing post-traumatic hypothermia risk prediction models, their performance characteristics, and applicability in diverse clinical contexts.
Databases including China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, China Biomedical Literature Database, PubMed, Web of Science, and Cochrane Library were searched from the time of database establishment to July 2025. Two researchers independently screened the literature, extracted relevant data, and conducted quality assessments. The included studies were analyzed to comprehensively evaluate the predictive models for post-traumatic hypothermia risk.
A total of 9 studies were included, comprising 9 predictive models for the risk of post-traumatic hypothermia, with a total sample size of 91 to 732 cases and 24 to 117 outcome events. The area under the receiver operating characteristic curve (AUC) for the predictive models ranged from 0.704 to 0.990, with specificity ranging from 50.6 % to 95.2 %. and sensitivity ranging from 70.9 % to 92.8 %. The most frequently identified predictive factors in the models were trauma severity, wet clothing, lack of warming measures, fluid resuscitation, and environmental temperature at the time of injury. The included risk prediction models demonstrated overall good applicability, but they had a high risk of bias, which was associated with limitations in sample selection, indicator selection and measurement, study design flaws, and inadequate model validation.
Although the predictive model for post-traumatic hypothermia risk demonstrates certain advantages in overall applicability and can provide reference for clinical prediction of post-traumatic hypothermia risk, it has a high risk of bias. Future studies should be conducted in a multicenter, large-sample setting to strengthen external validation of the model and test its performance in different clinical environments to ensure its stability and accuracy. AbstractBackgroundPost-traumatic hypothermia is a prevalent complication in trauma care, affecting up to 66% of multiple trauma patients upon emergency admission and doubling trauma-related mortality. While risk prediction models for post-traumatic hypothermia have been developed, guidelines and evidence specific to their clinical utility—especially in pre-hospital and low- to middle-income country (LMIC) settings—remain scarce. This systematic review evaluates existing post-traumatic hypothermia risk prediction models, their performance characteristics, and applicability in diverse clinical contexts. MethodsDatabases including China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, China Biomedical Literature Database, PubMed, Web of Science, and Cochrane Library were searched from the time of database establishment to July 2025. Two researchers independently screened the literature, extracted relevant data, and conducted quality assessments. The included studies were analyzed to comprehensively evaluate the predictive models for post-traumatic hypothermia risk. ResultsA total of 9 studies were included, comprising 9 predictive models for the risk of post-traumatic hypothermia, with a total sample size of 91 to 732 cases and 24 to 117 outcome events. The area under the receiver operating characteristic curve (AUC) for the predictive models ranged from 0.704 to 0.990, with specificity ranging from 50.6% to 95.2%. and sensitivity ranging from 70.9% to 92.8%. The most frequently identified predictive factors in the models were trauma severity, wet clothing, lack of warming measures, fluid resuscitation, and environmental temperature at the time of injury. The included risk prediction models demonstrated overall good applicability, but they had a high risk of bias, which was associated with limitations in sample selection, indicator selection and measurement, study design flaws, and inadequate model validation. ConclusionAlthough the predictive model for post-traumatic hypothermia risk demonstrates certain advantages in overall applicability and can provide reference for clinical prediction of post-traumatic hypothermia risk, it has a high risk of bias. Future studies should be conducted in a multicenter, large-sample setting to strengthen external validation of the model and test its performance in different clinical environments to ensure its stability and accuracy. Post-traumatic hypothermia is a prevalent complication in trauma care, affecting up to 66 % of multiple trauma patients upon emergency admission and doubling trauma-related mortality. While risk prediction models for post-traumatic hypothermia have been developed, guidelines and evidence specific to their clinical utility-especially in pre-hospital and low- to middle-income country (LMIC) settings-remain scarce. This systematic review evaluates existing post-traumatic hypothermia risk prediction models, their performance characteristics, and applicability in diverse clinical contexts.BACKGROUNDPost-traumatic hypothermia is a prevalent complication in trauma care, affecting up to 66 % of multiple trauma patients upon emergency admission and doubling trauma-related mortality. While risk prediction models for post-traumatic hypothermia have been developed, guidelines and evidence specific to their clinical utility-especially in pre-hospital and low- to middle-income country (LMIC) settings-remain scarce. This systematic review evaluates existing post-traumatic hypothermia risk prediction models, their performance characteristics, and applicability in diverse clinical contexts.Databases including China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, China Biomedical Literature Database, PubMed, Web of Science, and Cochrane Library were searched from the time of database establishment to July 2025. Two researchers independently screened the literature, extracted relevant data, and conducted quality assessments. The included studies were analyzed to comprehensively evaluate the predictive models for post-traumatic hypothermia risk.METHODSDatabases including China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, China Biomedical Literature Database, PubMed, Web of Science, and Cochrane Library were searched from the time of database establishment to July 2025. Two researchers independently screened the literature, extracted relevant data, and conducted quality assessments. The included studies were analyzed to comprehensively evaluate the predictive models for post-traumatic hypothermia risk.A total of 9 studies were included, comprising 9 predictive models for the risk of post-traumatic hypothermia, with a total sample size of 91 to 732 cases and 24 to 117 outcome events. The area under the receiver operating characteristic curve (AUC) for the predictive models ranged from 0.704 to 0.990, with specificity ranging from 50.6 % to 95.2 %. and sensitivity ranging from 70.9 % to 92.8 %. The most frequently identified predictive factors in the models were trauma severity, wet clothing, lack of warming measures, fluid resuscitation, and environmental temperature at the time of injury. The included risk prediction models demonstrated overall good applicability, but they had a high risk of bias, which was associated with limitations in sample selection, indicator selection and measurement, study design flaws, and inadequate model validation.RESULTSA total of 9 studies were included, comprising 9 predictive models for the risk of post-traumatic hypothermia, with a total sample size of 91 to 732 cases and 24 to 117 outcome events. The area under the receiver operating characteristic curve (AUC) for the predictive models ranged from 0.704 to 0.990, with specificity ranging from 50.6 % to 95.2 %. and sensitivity ranging from 70.9 % to 92.8 %. The most frequently identified predictive factors in the models were trauma severity, wet clothing, lack of warming measures, fluid resuscitation, and environmental temperature at the time of injury. The included risk prediction models demonstrated overall good applicability, but they had a high risk of bias, which was associated with limitations in sample selection, indicator selection and measurement, study design flaws, and inadequate model validation.Although the predictive model for post-traumatic hypothermia risk demonstrates certain advantages in overall applicability and can provide reference for clinical prediction of post-traumatic hypothermia risk, it has a high risk of bias. Future studies should be conducted in a multicenter, large-sample setting to strengthen external validation of the model and test its performance in different clinical environments to ensure its stability and accuracy.CONCLUSIONAlthough the predictive model for post-traumatic hypothermia risk demonstrates certain advantages in overall applicability and can provide reference for clinical prediction of post-traumatic hypothermia risk, it has a high risk of bias. Future studies should be conducted in a multicenter, large-sample setting to strengthen external validation of the model and test its performance in different clinical environments to ensure its stability and accuracy. |
| ArticleNumber | 112883 |
| Author | Shengqiang, Zou Yiting, Wang Dandan, Zhang Jing, Yang Tiantian, Zhou |
| Author_xml | – sequence: 1 givenname: Zhang orcidid: 0009-0007-3555-394X surname: Dandan fullname: Dandan, Zhang email: 2544647653@qq.com organization: Affiliated Hospital of Jiangsu University, No. 438 North Section of Jiefang Road, Jingkou, Zhenjiang City, Jiangsu Province 212001, China – sequence: 2 givenname: Wang surname: Yiting fullname: Yiting, Wang email: 1047885293@qq.com organization: Affiliated Hospital of Jiangsu University, No. 438 North Section of Jiefang Road, Jingkou, Zhenjiang City, Jiangsu Province 212001, China – sequence: 3 givenname: Zou surname: Shengqiang fullname: Shengqiang, Zou organization: Zhenjiang Third Hospital Affiliated to Jiangsu University, No. 300 Daijiamen Road, Runzhou District, Zhenjiang City, Jiangsu Province 221010, China – sequence: 4 givenname: Zhou surname: Tiantian fullname: Tiantian, Zhou organization: Nanjing Drum Tower Hospital, No. 321 Zhongshan Road, Gulou District, Nanjing City, Jiangsu Province 210000, China – sequence: 5 givenname: Yang surname: Jing fullname: Jing, Yang organization: Affiliated Hospital of Jiangsu University, No. 438 North Section of Jiefang Road, Jingkou, Zhenjiang City, Jiangsu Province 212001, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/41240776$$D View this record in MEDLINE/PubMed |
| BookMark | eNqVkc1q3TAQRkVJaW7SvkEoXnbjm5FkWzaUQAn5K4EukqyFLI-JHNtyJLnFbx8ZJ92VULSYzZlPfGeOyMFoRyTkhMKeAi1Ou70Zu9ktewYs31PKypJ_IDtaiioFVogDsgNgkFJe8kNy5H0HQAVw_okcZpRlIESxIz_vFh9wUMHoxOFvg38S2yaTw8boYOyYDLbB3ietdclkfUiDU_OGPy6TDY_oBqMSZ_zTZ_KxVb3HL6_zmDxcXtyfX6e3v65uzn_cpprzIqS8rbK8YCKnLeUYXy6yuood6ka0sRnLMk05FDnWCnWjq6bkgivGa13WFBQ_Jt-23MnZ5xl9kIPxGvtejWhnLzkTjNGYWkX06ys61wM2cnJmUG6Rb_0jkG2AdtZ7h-1fhIJcNctObprlqllumuPa2bYW1azSnPTa4KijNYc6yMaa_w3QvRmNVv0TLug7O7sxOpRUeiZB3q2XXA_JcgCRUREDvv874P3_XwCjirA_ |
| Cites_doi | 10.1111/jan.14818 10.1002/nop2.1859 10.1097/01.ta.0000188647.03665.fd 10.62347/IRMG4893 10.1016/j.resuscitation.2010.10.016 10.1371/journal.pmed.1001744 10.1186/s13049-017-0349-1 10.3390/ijerph18168719 10.3389/fmed.2024.1453497 10.1055/s-0030-1262604 10.1080/10903127.2019.1599474 |
| ContentType | Journal Article |
| Copyright | 2025 Copyright © 2025. Published by Elsevier Ltd. |
| Copyright_xml | – notice: 2025 – notice: Copyright © 2025. Published by Elsevier Ltd. |
| DBID | AAYXX CITATION NPM 7X8 |
| DOI | 10.1016/j.injury.2025.112883 |
| DatabaseName | CrossRef PubMed MEDLINE - Academic |
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic PubMed |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| EISSN | 1879-0267 |
| EndPage | 112883 |
| ExternalDocumentID | 41240776 10_1016_j_injury_2025_112883 S0020138325007417 1_s2_0_S0020138325007417 |
| Genre | Journal Article Review |
| GroupedDBID | --- --K --M .1- .55 .FO .GJ .~1 0R~ 1B1 1P~ 1RT 1~. 1~5 29I 4.4 457 4G. 53G 5GY 5RE 5VS 7-5 71M 8P~ 9DU 9JM AABNK AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AATTM AAWTL AAXKI AAXUO AAYWO ABBQC ABFNM ABJNI ABLJU ABMAC ABMZM ABWVN ABXDB ACDAQ ACGFS ACIEU ACIUM ACLOT ACRLP ACRPL ADBBV ADEZE ADMUD ADNMO AEBSH AEIPS AEKER AEVXI AFJKZ AFRHN AFTJW AFXIZ AGHFR AGQPQ AGUBO AGYEJ AHHHB AIEXJ AIIUN AIKHN AITUG AJRQY AJUYK ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX APXCP ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC BNPGV CS3 EBS EFJIC EFKBS EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HEE HMK HMO HVGLF HZ~ IHE J1W K-O KOM KQ8 L7B M29 M31 M41 MO0 N9A O-L O9- OAUVE OF~ OR- OZT P-8 P-9 PC. Q38 R2- ROL RPZ SAE SCC SDF SDG SDP SEL SES SEW SPCBC SSH SSZ T5K UV1 WUQ X7M XPP Z5R ZGI ZXP ~02 ~G- ~HD AAYXX CITATION NPM 7X8 |
| ID | FETCH-LOGICAL-c336t-3f94562751f13e3e3574b9025bd7f101244c13065ebaecdc9d8373a23bc8b10a3 |
| ISSN | 0020-1383 1879-0267 |
| IngestDate | Mon Nov 17 00:18:28 EST 2025 Mon Nov 17 02:00:57 EST 2025 Thu Nov 27 00:15:08 EST 2025 Sat Nov 29 17:15:43 EST 2025 Sat Nov 29 12:11:04 EST 2025 Sat Nov 29 06:56:50 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 12 |
| Language | English |
| License | Copyright © 2025. Published by Elsevier Ltd. |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c336t-3f94562751f13e3e3574b9025bd7f101244c13065ebaecdc9d8373a23bc8b10a3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 |
| ORCID | 0009-0007-3555-394X |
| PMID | 41240776 |
| PQID | 3272215749 |
| PQPubID | 23479 |
| PageCount | 1 |
| ParticipantIDs | proquest_miscellaneous_3272215749 pubmed_primary_41240776 crossref_primary_10_1016_j_injury_2025_112883 elsevier_sciencedirect_doi_10_1016_j_injury_2025_112883 elsevier_clinicalkeyesjournals_1_s2_0_S0020138325007417 elsevier_clinicalkey_doi_10_1016_j_injury_2025_112883 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-12-01 |
| PublicationDateYYYYMMDD | 2025-12-01 |
| PublicationDate_xml | – month: 12 year: 2025 text: 2025-12-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Netherlands |
| PublicationPlace_xml | – name: Netherlands |
| PublicationTitle | Injury |
| PublicationTitleAlternate | Injury |
| PublicationYear | 2025 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Qin, Qiuxia, hong (bib0016) 2021; 35 Run, Qianfeng, Luyao, Jing, Peiyao, Yuyu (bib0013) 2023; 40 Mommsen, Zeckey, Frink, Krettek, Hildebrand (bib0005) 2012; 137 Mommsen, Andruszkow, Frömke, Zeckey, Wagner, van Griensven (bib0025) 2013; 44 Ru, Shengfeng, Jiacheng, Feng, Wenqiang, Siyan (bib0009) 2020; 41 Ireland, Endacott, Cameron, Fitzgerald, Paul (bib0018) 2011; 82 Waydhas, Hildebrand, Liu (bib0001) 2024; 11 Zhou, Hu, Yuan, Qin, Peng (bib0003) 2023; 10 van Veelen, Trauma (bib0006) 2021 Aug 18; 18 Danting, Yan (bib0027) 2023; 30 Wenying, Fangfang, Hongyun (bib0012) 2023; 42 Jun, Shen, Xin, Shengyi, Zhilin, Jing (bib0019) 2024; 31 Lapostolle, Garrigue, Richard, Weisslinger, Chollet, Lagadec (bib0002) 2021 Qingqing, Hui, Yanjiao (bib0024) 2024; 30 Jiangning, Xiaoli, Hongfei, Xiaojuan, Xingbo (bib0028) 2023; 8 Tianxi, Hongwu, Qin, Qiuxia, hong, Lingli (bib0015) 2021; 36 Lapostolle, Couvreur, Koch, Savary, Alhéritière, Galinski (bib0033) 2017; 25 van Veelen M, Brodmann (bib0031) 2021; 18 Moons, De Groot, Bouwmeester, Vergouwe, Mallett, Altman (bib0008) 2014; 11 Shafi, Gentilello (bib0004) 2005; 59 Alam, Olarte, Callum, Fatahi, Nascimento, Laflamme (bib0023) 2018; 49 Chengdong, Weibin, Zhaoxia (bib0030) 2023; 14 Congcong, Yu, Limin (bib0010) 2024; 13 Leilei, Dejun, Qianqian, Lingling, Tingting (bib0014) 2022; 22 Yu, Chunjuan, Jiamei (bib0026) 2024; 43 Wang Feixiang, Zhang Linzhen. The effect of fluid resuscitation after warming on the prognosis of severely injured patients [J]. Chinese Journal 17(12): 3. Chenyang, Yue, Luo, Li, Tuohong, Guobao (bib0020) 2024; 5 . Leilei, Dejun, Qianqian, Xiaoqiong, Daqing (bib0034) 2021; 33 Lü, Lu, Huang, Zheng, Yan (bib0029) 2023; 45 Jiayuan, Yun, Lin, Xueshun, Shinan, Xiaoqin (bib0017) 2020; 55 Xiaoli, Wei, Jiangning, Luo (bib0021) 2022; 51 Forristal, Van Aarsen, Columbus, Wei, Vogt, Mal (bib0022) 2020; 24 Xu, Jiang, Zhou, Wu (bib0007) 2024; 16 Feng, Zhu, Qiao, Li, Jiang, Han (bib0011) 2024; 19 Congcong (10.1016/j.injury.2025.112883_bib0010) 2024; 13 Jiayuan (10.1016/j.injury.2025.112883_bib0017) 2020; 55 Mommsen (10.1016/j.injury.2025.112883_bib0005) 2012; 137 van Veelen M (10.1016/j.injury.2025.112883_bib0031) 2021; 18 Forristal (10.1016/j.injury.2025.112883_bib0022) 2020; 24 Danting (10.1016/j.injury.2025.112883_bib0027) 2023; 30 Leilei (10.1016/j.injury.2025.112883_bib0034) 2021; 33 Feng (10.1016/j.injury.2025.112883_bib0011) 2024; 19 Waydhas (10.1016/j.injury.2025.112883_bib0001) 2024; 11 Run (10.1016/j.injury.2025.112883_bib0013) 2023; 40 Ireland (10.1016/j.injury.2025.112883_bib0018) 2011; 82 Lapostolle (10.1016/j.injury.2025.112883_bib0002) 2021 Xu (10.1016/j.injury.2025.112883_bib0007) 2024; 16 Moons (10.1016/j.injury.2025.112883_bib0008) 2014; 11 Lapostolle (10.1016/j.injury.2025.112883_bib0033) 2017; 25 Mommsen (10.1016/j.injury.2025.112883_bib0025) 2013; 44 Jun (10.1016/j.injury.2025.112883_bib0019) 2024; 31 Alam (10.1016/j.injury.2025.112883_bib0023) 2018; 49 10.1016/j.injury.2025.112883_bib0032 Wenying (10.1016/j.injury.2025.112883_bib0012) 2023; 42 Tianxi (10.1016/j.injury.2025.112883_bib0015) 2021; 36 Qingqing (10.1016/j.injury.2025.112883_bib0024) 2024; 30 Zhou (10.1016/j.injury.2025.112883_bib0003) 2023; 10 Ru (10.1016/j.injury.2025.112883_bib0009) 2020; 41 van Veelen (10.1016/j.injury.2025.112883_bib0006) 2021; 18 Chengdong (10.1016/j.injury.2025.112883_bib0030) 2023; 14 Shafi (10.1016/j.injury.2025.112883_bib0004) 2005; 59 Chenyang (10.1016/j.injury.2025.112883_bib0020) 2024; 5 Xiaoli (10.1016/j.injury.2025.112883_bib0021) 2022; 51 Qin (10.1016/j.injury.2025.112883_bib0016) 2021; 35 Jiangning (10.1016/j.injury.2025.112883_bib0028) 2023; 8 Yu (10.1016/j.injury.2025.112883_bib0026) 2024; 43 Lü (10.1016/j.injury.2025.112883_bib0029) 2023; 45 Leilei (10.1016/j.injury.2025.112883_bib0014) 2022; 22 |
| References_xml | – volume: 10 year: 2023 ident: bib0003 article-title: CiteSpace-based visual analysis of hypothermia studies in surgical patients[J] publication-title: Nurs Open – volume: 137 start-page: 264 year: 2012 end-page: 269 ident: bib0005 article-title: Accidental hypothermia in multiple trauma patients [J] publication-title: Zentralbl Chir – volume: 44 start-page: 86 year: 2013 end-page: 90 ident: bib0025 article-title: Effects of accidental hypothermia on posttraumatic complications and outcome in multiple trauma patients[J] publication-title: Inj-Int J Of The Care Of The Inj – volume: 11 year: 2014 ident: bib0008 article-title: Critical appraisal and data extraction for systematic reviews of prediction modeling studies: the CHARMS checklist[J] publication-title: PLoS Med – volume: 30 year: 2023 ident: bib0027 article-title: Effects of graded rewarming nursing on hypothermia and complications in emergency trauma patients [J] publication-title: Contemp Nurses – volume: 13 start-page: 7 year: 2024 ident: bib0010 article-title: Construction and validation of a predictive model for the risk of spontaneous hypothermia in patients with acute severe trauma [J] publication-title: Nurs Sci – volume: 41 start-page: 776 year: 2020 end-page: 781 ident: bib0009 article-title: Interpretation of tools for assessing bias risks and applicability in prediction model studies [J] publication-title: Chin J Epidemiol – reference: Wang Feixiang, Zhang Linzhen. The effect of fluid resuscitation after warming on the prognosis of severely injured patients [J]. Chinese Journal 17(12): 3. – volume: 22 start-page: 1015 year: 2022 end-page: 1020 ident: bib0014 article-title: Construction of a line chart model for the risk of hypothermia in acute trauma patients [J] publication-title: Chin J Nurs Manag – volume: 45 start-page: 213 year: 2023 end-page: 220 ident: bib0029 article-title: Effect of systematic graded rewarming pattern on all-cause mortality of hypothermic trauma patients in different time periods [J] publication-title: Acta Acad Med Sin – volume: 42 year: 2023 ident: bib0012 article-title: Construction of a predictive model for spontaneous hypothermia in emergency trauma patients based on [J] publication-title: Int J Nurs – volume: 59 start-page: 1081 year: 2005 ident: bib0004 article-title: Is hypothermia simply a marker of shock and injury severity or an independent risk factor for mortality in trauma patients? Analysis of a large national trauma registry [J] publication-title: J Trauma – volume: 30 start-page: 59 year: 2024 end-page: 61 ident: bib0024 article-title: Application of predictive rewarming measures based on injury severity scores in trauma patients with spontaneous hypothermia[J] publication-title: Qi Lu Nurs J – volume: 55 start-page: 1813 year: 2020 end-page: 1818 ident: bib0017 article-title: Development and validity of a hypothermia risk assessment scale for trauma patients [J] publication-title: Chin J Nurs – volume: 18 year: 2021 ident: bib0031 article-title: Hypothermia in trauma [J] publication-title: Int J Env Res Public Health – volume: 18 start-page: 8719 year: 2021 Aug 18 ident: bib0006 publication-title: Int J Env Res Public Health – volume: 35 start-page: 35 year: 2021 end-page: 39 ident: bib0016 article-title: Comparison of the predictive value of injury severity score and modified trauma score for spontaneous hypothermia in trauma patients [J] publication-title: Nurs Res – volume: 33 start-page: 7 year: 2021 ident: bib0034 article-title: The effect of systematic graded rewarming measures on body temperature and prognosis in emergency trauma surgery patients [J] publication-title: Chin J Crit Care Med – volume: 49 start-page: 117 year: 2018 end-page: 123 ident: bib0023 article-title: Hypothermia indices among severely injured trauma patients undergoing urgent surgery: a single-center retrospective quality review and analysis [J] publication-title: Inj-Int J Of The Care Of The Inj – volume: 8 year: 2023 ident: bib0028 article-title: Application of bundled warming measures combined with a one-stop emergency nursing model in patients with spontaneous hypothermia after trauma [J] publication-title: Clin Res Pract – volume: 25 year: 2017 ident: bib0033 article-title: Hypothermia in trauma victims at first arrival of ambulance personnel: an observational study with assessment of risk factors [J] publication-title: Scand J Trauma Resusc Emerg Med – volume: 11 year: 2024 ident: bib0001 article-title: Emergency and critical care of severely injured patients [J] publication-title: Front Med – volume: 43 year: 2024 ident: bib0026 article-title: Factors associated with spontaneous hypothermia in emergency trauma patients and nursing interventions [J] publication-title: Int J Nurs Sci – volume: 82 start-page: 300 year: 2011 end-page: 306 ident: bib0018 article-title: The incidence and significance of accidental hypothermia in major trauma—A prospective observational study [J] publication-title: Resuscitation – volume: 36 start-page: 38 year: 2021 end-page: 41 ident: bib0015 article-title: Development of a hypothermia risk scoring scale for emergency trauma patients [J] publication-title: J Nurs Sci – reference: . – volume: 19 year: 2024 ident: bib0011 article-title: Factors influencing spontaneous hypothermia after emergency trauma and the construction of a predictive model [J] publication-title: Open Life Sci – volume: 14 start-page: 191 year: 2023 end-page: 194 ident: bib0030 article-title: Jin Shuang. Analysis of the effect of feedforward control in the management of hypothermia in emergency trauma patients [J] publication-title: Chin J Health Stand Manag – volume: 31 start-page: 32 year: 2024 end-page: 37 ident: bib0019 article-title: Introduction to common methods for estimating sample size in clinical predictive model construction and case analysis [J] publication-title: Mod Chin Clin Med – volume: 24 start-page: 15 year: 2020 end-page: 22 ident: bib0022 article-title: Predictors of hypothermia upon Trauma center arrival in severe Trauma patients transported to Hospital Via Ems [J] publication-title: Prehosp Emerg Care – volume: 16 start-page: 1155 year: 2024 end-page: 1164 ident: bib0007 article-title: Application of a feedforward control-based intervention for preventing hypothermia in trauma patients in a pre-hospital emergency setting [J] publication-title: Am J Transl Res – volume: 40 start-page: 14 year: 2023 end-page: 17 ident: bib0013 article-title: Construction and validation of an early warning model for hypothermia in emergency trauma patients using decision trees [J] publication-title: Mil Nurs – volume: 51 start-page: 1568 year: 2022 end-page: 1572 ident: bib0021 article-title: A study on the influencing factors and intervention effects of spontaneous hypothermia in severely traumatized patients [J] publication-title: Shaanxi Med J – year: 2021 ident: bib0002 article-title: Prevention of hypothermia in trauma victims – the HYPOTRAUM 2 study [J] publication-title: J Adv Nurs – volume: 5 start-page: 131 year: 2024 end-page: 137 ident: bib0020 article-title: Meta-analysis of factors influencing hypothermia in emergency trauma patients [J] publication-title: Chin J Crit Care Nurs – year: 2021 ident: 10.1016/j.injury.2025.112883_bib0002 article-title: Prevention of hypothermia in trauma victims – the HYPOTRAUM 2 study [J] publication-title: J Adv Nurs doi: 10.1111/jan.14818 – volume: 10 issue: 9 year: 2023 ident: 10.1016/j.injury.2025.112883_bib0003 article-title: CiteSpace-based visual analysis of hypothermia studies in surgical patients[J] publication-title: Nurs Open doi: 10.1002/nop2.1859 – volume: 49 start-page: 117 issue: 1 year: 2018 ident: 10.1016/j.injury.2025.112883_bib0023 article-title: Hypothermia indices among severely injured trauma patients undergoing urgent surgery: a single-center retrospective quality review and analysis [J] publication-title: Inj-Int J Of The Care Of The Inj – ident: 10.1016/j.injury.2025.112883_bib0032 – volume: 59 start-page: 1081 issue: 1 year: 2005 ident: 10.1016/j.injury.2025.112883_bib0004 article-title: Is hypothermia simply a marker of shock and injury severity or an independent risk factor for mortality in trauma patients? Analysis of a large national trauma registry [J] publication-title: J Trauma doi: 10.1097/01.ta.0000188647.03665.fd – volume: 41 start-page: 776 issue: 5 year: 2020 ident: 10.1016/j.injury.2025.112883_bib0009 article-title: Interpretation of tools for assessing bias risks and applicability in prediction model studies [J] publication-title: Chin J Epidemiol – volume: 30 start-page: 59 issue: 12 year: 2024 ident: 10.1016/j.injury.2025.112883_bib0024 article-title: Application of predictive rewarming measures based on injury severity scores in trauma patients with spontaneous hypothermia[J] publication-title: Qi Lu Nurs J – volume: 44 start-page: 86 issue: 1 year: 2013 ident: 10.1016/j.injury.2025.112883_bib0025 article-title: Effects of accidental hypothermia on posttraumatic complications and outcome in multiple trauma patients[J] publication-title: Inj-Int J Of The Care Of The Inj – volume: 16 start-page: 1155 issue: 4 year: 2024 ident: 10.1016/j.injury.2025.112883_bib0007 article-title: Application of a feedforward control-based intervention for preventing hypothermia in trauma patients in a pre-hospital emergency setting [J] publication-title: Am J Transl Res doi: 10.62347/IRMG4893 – volume: 40 start-page: 14 issue: 5 year: 2023 ident: 10.1016/j.injury.2025.112883_bib0013 article-title: Construction and validation of an early warning model for hypothermia in emergency trauma patients using decision trees [J] publication-title: Mil Nurs – volume: 35 start-page: 35 issue: 1 year: 2021 ident: 10.1016/j.injury.2025.112883_bib0016 article-title: Comparison of the predictive value of injury severity score and modified trauma score for spontaneous hypothermia in trauma patients [J] publication-title: Nurs Res – volume: 33 start-page: 7 issue: 12 year: 2021 ident: 10.1016/j.injury.2025.112883_bib0034 article-title: The effect of systematic graded rewarming measures on body temperature and prognosis in emergency trauma surgery patients [J] publication-title: Chin J Crit Care Med – volume: 14 start-page: 191 issue: 15 year: 2023 ident: 10.1016/j.injury.2025.112883_bib0030 article-title: Jin Shuang. Analysis of the effect of feedforward control in the management of hypothermia in emergency trauma patients [J] publication-title: Chin J Health Stand Manag – volume: 13 start-page: 7 issue: 11 year: 2024 ident: 10.1016/j.injury.2025.112883_bib0010 article-title: Construction and validation of a predictive model for the risk of spontaneous hypothermia in patients with acute severe trauma [J] publication-title: Nurs Sci – volume: 82 start-page: 300 issue: 3 year: 2011 ident: 10.1016/j.injury.2025.112883_bib0018 article-title: The incidence and significance of accidental hypothermia in major trauma—A prospective observational study [J] publication-title: Resuscitation doi: 10.1016/j.resuscitation.2010.10.016 – volume: 5 start-page: 131 issue: 02 year: 2024 ident: 10.1016/j.injury.2025.112883_bib0020 article-title: Meta-analysis of factors influencing hypothermia in emergency trauma patients [J] publication-title: Chin J Crit Care Nurs – volume: 55 start-page: 1813 issue: 12 year: 2020 ident: 10.1016/j.injury.2025.112883_bib0017 article-title: Development and validity of a hypothermia risk assessment scale for trauma patients [J] publication-title: Chin J Nurs – volume: 11 issue: 10 year: 2014 ident: 10.1016/j.injury.2025.112883_bib0008 article-title: Critical appraisal and data extraction for systematic reviews of prediction modeling studies: the CHARMS checklist[J] publication-title: PLoS Med doi: 10.1371/journal.pmed.1001744 – volume: 25 issue: 1 year: 2017 ident: 10.1016/j.injury.2025.112883_bib0033 article-title: Hypothermia in trauma victims at first arrival of ambulance personnel: an observational study with assessment of risk factors [J] publication-title: Scand J Trauma Resusc Emerg Med doi: 10.1186/s13049-017-0349-1 – volume: 43 issue: 9 year: 2024 ident: 10.1016/j.injury.2025.112883_bib0026 article-title: Factors associated with spontaneous hypothermia in emergency trauma patients and nursing interventions [J] publication-title: Int J Nurs Sci – volume: 18 start-page: 8719 issue: 16 year: 2021 ident: 10.1016/j.injury.2025.112883_bib0006 publication-title: Int J Env Res Public Health doi: 10.3390/ijerph18168719 – volume: 45 start-page: 213 issue: 2 year: 2023 ident: 10.1016/j.injury.2025.112883_bib0029 article-title: Effect of systematic graded rewarming pattern on all-cause mortality of hypothermic trauma patients in different time periods [J] publication-title: Acta Acad Med Sin – volume: 36 start-page: 38 issue: 23 year: 2021 ident: 10.1016/j.injury.2025.112883_bib0015 article-title: Development of a hypothermia risk scoring scale for emergency trauma patients [J] publication-title: J Nurs Sci – volume: 22 start-page: 1015 issue: 7 year: 2022 ident: 10.1016/j.injury.2025.112883_bib0014 article-title: Construction of a line chart model for the risk of hypothermia in acute trauma patients [J] publication-title: Chin J Nurs Manag – volume: 30 issue: 7 year: 2023 ident: 10.1016/j.injury.2025.112883_bib0027 article-title: Effects of graded rewarming nursing on hypothermia and complications in emergency trauma patients [J] publication-title: Contemp Nurses – volume: 11 year: 2024 ident: 10.1016/j.injury.2025.112883_bib0001 article-title: Emergency and critical care of severely injured patients [J] publication-title: Front Med doi: 10.3389/fmed.2024.1453497 – volume: 8 issue: 30 year: 2023 ident: 10.1016/j.injury.2025.112883_bib0028 article-title: Application of bundled warming measures combined with a one-stop emergency nursing model in patients with spontaneous hypothermia after trauma [J] publication-title: Clin Res Pract – volume: 18 issue: 16 year: 2021 ident: 10.1016/j.injury.2025.112883_bib0031 article-title: Hypothermia in trauma [J] publication-title: Int J Env Res Public Health doi: 10.3390/ijerph18168719 – volume: 42 issue: 1 year: 2023 ident: 10.1016/j.injury.2025.112883_bib0012 article-title: Construction of a predictive model for spontaneous hypothermia in emergency trauma patients based on [J] publication-title: Int J Nurs – volume: 51 start-page: 1568 issue: 12 year: 2022 ident: 10.1016/j.injury.2025.112883_bib0021 article-title: A study on the influencing factors and intervention effects of spontaneous hypothermia in severely traumatized patients [J] publication-title: Shaanxi Med J – volume: 31 start-page: 32 issue: 06 year: 2024 ident: 10.1016/j.injury.2025.112883_bib0019 article-title: Introduction to common methods for estimating sample size in clinical predictive model construction and case analysis [J] publication-title: Mod Chin Clin Med – volume: 137 start-page: 264 issue: 3 year: 2012 ident: 10.1016/j.injury.2025.112883_bib0005 article-title: Accidental hypothermia in multiple trauma patients [J] publication-title: Zentralbl Chir doi: 10.1055/s-0030-1262604 – volume: 24 start-page: 15 issue: 1 year: 2020 ident: 10.1016/j.injury.2025.112883_bib0022 article-title: Predictors of hypothermia upon Trauma center arrival in severe Trauma patients transported to Hospital Via Ems [J] publication-title: Prehosp Emerg Care doi: 10.1080/10903127.2019.1599474 – volume: 19 issue: 1 year: 2024 ident: 10.1016/j.injury.2025.112883_bib0011 article-title: Factors influencing spontaneous hypothermia after emergency trauma and the construction of a predictive model [J] publication-title: Open Life Sci |
| SSID | ssj0017033 |
| Score | 2.4599416 |
| SecondaryResourceType | review_article |
| Snippet | Post-traumatic hypothermia is a prevalent complication in trauma care, affecting up to 66 % of multiple trauma patients upon emergency admission and doubling... AbstractBackgroundPost-traumatic hypothermia is a prevalent complication in trauma care, affecting up to 66% of multiple trauma patients upon emergency... |
| SourceID | proquest pubmed crossref elsevier |
| SourceType | Aggregation Database Index Database Publisher |
| StartPage | 112883 |
| SubjectTerms | Orthopedics |
| Title | Systematic review of prediction models for post-traumatic hypothermia risk |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S0020138325007417 https://www.clinicalkey.es/playcontent/1-s2.0-S0020138325007417 https://dx.doi.org/10.1016/j.injury.2025.112883 https://www.ncbi.nlm.nih.gov/pubmed/41240776 https://www.proquest.com/docview/3272215749 |
| Volume | 56 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: ScienceDirect database customDbUrl: eissn: 1879-0267 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017033 issn: 0020-1383 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELZoy4ELKuK10FZG4oaCkjheO8eKFtEeKqQWseJi5eHQXalJ2CSo_HtmbOfRlyhIXLKRtbbj-ZzJeJ6EvNVBkCZ-Ib2C59qLpE69hHO4i_wIvjYZj3luik2IkxO5WMSfXbXRxpQTEGUpLy_j-r9CDW0ANobO_gXcw6DQAPcAOlwBdrjeC_jTa7mZTVxKvUaDjMHa1L4xWRje1VXTeu066ezfz3_VJh7rYpkYl_Op4HpUrrrRY_gA9Q-GXxmF88A6lq0rkfJ10np6rsvvP5ZOMf2t6gZtAbQhg7HjuHangQj5NW-OITRm9EOyYQI-JjhkU1Zrc4j3Wyq8lYVbbcIKzh24rvc4IcY5STfS1eTYaGtGWysDSQ6FI7FBtkLBY-BvW_tHh4vjwaIEnM16G7jH6sMoja_fzbnuElPuOoYYceRsmzx25wi6b_F_Qh7o8ik5HrGnFntaFXTEnlrsKWBPr2JPJ9hTxP4Z-fLx8OzDJ88Vy_Ayxuatx4oYD7OCBwUqtjXjIkrRhpzmosAkblGUgbwy5zpNdJZncS6ZYEnI0kymgZ-w52SzrEr9klCZCV9j0spUwk_KZKh5weUcKCgSHRQz4vW0UbXNiaJ6Z8GVsrRUSEtlaTkjvCeg6uN94QulAPE_9BO39dONe9saFagmVL66sQumPZ0kaSXEe8z5pkdYAaNF61lS6qprFAtFCPKxiOIZeWGhH1aPJdwxL9arf1zpa_JofLF2yGa77vQueZj9bJfNeo9siIXccxv6NzTDr98 |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Systematic+review+of+prediction+models+for+post-traumatic+hypothermia+risk&rft.jtitle=Injury&rft.au=Dandan%2C+Zhang&rft.au=Yiting%2C+Wang&rft.au=Shengqiang%2C+Zou&rft.au=Tiantian%2C+Zhou&rft.date=2025-12-01&rft.pub=Elsevier+Ltd&rft.issn=0020-1383&rft.volume=56&rft.issue=12&rft_id=info:doi/10.1016%2Fj.injury.2025.112883&rft.externalDocID=S0020138325007417 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0020-1383&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0020-1383&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0020-1383&client=summon |