Consensus Current Procedural Terminology Code Definition of Source Control for Sepsis.
Consensus Current Procedural Terminology Code Definition of Source Control for Sepsis.
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DOI:
10.1016/j.jss.2022.02.036
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发表时间:
2022-07
影响因子:
2.2
通讯作者:
Reitz, Katherine M.
中科院分区:
文献类型:
--
作者:
Li, Shimena R.;Handzel, Robert M.;Tonetti, Daniel;Kennedy, Jason;Shapiro, Katherine;Rosengart, Matthew R.;Hall, Daniel E.;Seymour, Christopher;Tzeng, Edith;Reitz, Katherine M.
Unlike antibiotic and perfusion support, guidelines for sepsis source control lack high-quality evidence and are ungraded. Internally valid administrative data methods are needed to identify cases representing source control procedures to evaluate outcomes. Over five modified Delphi Rounds, two independent reviewers identified Current Procedural Terminology (CPT) codes pertinent to source control. In each Round, codes with perfect agreement were retained or excluded, while disagreements were reviewed by the panelists. Manual review of 400 patient records meeting Sepsis-3 criteria (2010–2017) clinically adjudicated which encounters included source control procedures (gold standard). Performance of consensus codes were compared to the gold standard to assess sensitivity, specificity, predictive values, and likelihood ratios. Of 5,752 CPT codes, 609 consensus codes represented source control procedures. Of 400 hospitalizations for sepsis, 39 (9.8%; 95%CI 7.0–13.1%) underwent gold standard source control procedures and 29 (7.3%; 95%CI 4.9–10.3%) consensus code defined source control procedures. Thirty consensus codes were identified (20.0% gastrointestinal/intra-abdominal, 10.0% genitourinary, 13.3% hepatopancreatobiliary, 23.3% orthopedic/cranial, 23.3% soft tissue, 10.0% intra-thoracic) which had 61.5% (95%CI 44.6–76.6%) sensitivity, 98.6% (95%CI 96.8–99.6%) specificity, 83.2% (95%CI 66.6–92.4%) positive and 95.9% (95%CI 93.9–97.2%) negative predictive values. With pretest probability at sample prevalence, an identified consensus code had a posttest probability of 83.0% (95%CI 66.0–92.0%) while consensus code absence had a probability of 4.0% (95%CI 3.0–6.0) for undergoing a source control procedure. Using modified Delphi methodology, we created and validated CPT codes identifying source control procedures, providing a framework for evaluation of the surgical care of patients with sepsis.
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DOI:
10.1001/jama.2016.0288
发表时间:
2016-02-23
期刊:
JAMA
影响因子:
--
作者:
Seymour CW;Liu VX;Iwashyna TJ;Brunkhorst FM;Rea TD;Scherag A;Rubenfeld G;Kahn JM;Shankar-Hari M;Singer M;Deutschman CS;Escobar GJ;Angus DC
通讯作者:
Angus DC
DOI:
10.1186/cc13755
发表时间:
2014-03-03
期刊:
Critical care (London, England)
影响因子:
--
作者:
Bloos F;Thomas-Rüddel D;Rüddel H;Engel C;Schwarzkopf D;Marshall JC;Harbarth S;Simon P;Riessen R;Keh D;Dey K;Weiß M;Toussaint S;Schädler D;Weyland A;Ragaller M;Schwarzkopf K;Eiche J;Kuhnle G;Hoyer H;Hartog C;Kaisers U;Reinhart K;MEDUSA Study Group
通讯作者:
MEDUSA Study Group
DOI:
10.1056/nejmoa1411162
发表时间:
2015-05-21
期刊:
The New England journal of medicine
影响因子:
--
作者:
Sawyer RG;Claridge JA;Nathens AB;Rotstein OD;Duane TM;Evans HL;Cook CH;O'Neill PJ;Mazuski JE;Askari R;Wilson MA;Napolitano LM;Namias N;Miller PR;Dellinger EP;Watson CM;Coimbra R;Dent DL;Lowry SF;Cocanour CS;West MA;Banton KL;Cheadle WG;Lipsett PA;Guidry CA;Popovsky K;STOP-IT Trial Investigators
通讯作者:
STOP-IT Trial Investigators
影响因子:
3.4
作者:
Connolly, Ian David;Johnson, Eli;Li, Gordon
通讯作者:
Li, Gordon
影响因子:
38.9
作者:
Boyer, Alexandre;Vargas, Frederic;Gruson, Didier
通讯作者:
Gruson, Didier