Incidence of venous thromboembolism in benign urologic reconstructive cases View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-04-26

AUTHORS

Nathan M. Shaw, Nizar Hakam, Jason L. Lui, Behnam Nabavizadeh, Kevin D. Li, Patrick Low, Behzad Abbasi, Benjamin N. Breyer

ABSTRACT

PurposeTo evaluate the rate of perioperative venous thromboembolism (VTE) among patients undergoing common benign urologic reconstructive cases. We hypothesize that this rate will be lower than previously described.MethodsWe utilized the American College of Surgeons National Surgical Quality Improvement Project database from 2015 to 2019 to evaluate 30-day perioperative risk of VTE. Patients ≥ 18 years old undergoing benign urologic reconstructive cases were selected using Current Procedural Terminology (CPT) codes. Demographic, comorbidity, and operative variables were captured. The primary outcome was VTE within the 30-day postoperative period.ResultsWe identified 8467 patients who met inclusion criteria. The majority of patients were male (> 95%) with an average age of 65 and BMI of 29.6. There were 23 VTE events (0.27%) within the 30-day perioperative period. Fourteen (14/59) procedures had a perioperative VTE. Many of the traditional factors for VTE including operative time and obesity significantly increased risk of VTE in univariate analysis. In multivariate analysis, only BMI (OR 1.09; 95% CI 1.01–1.12) and inpatient status (OR 4.42; 95% CI 1.9–10.2) were correlated with increased perioperative VTE.ConclusionThe rate of VTE among patients undergoing benign urologic reconstructive cases is low. Providers should continue to have high index of suspicion particularly for inpatients with high BMI in addition to other known risk factors for VTE. More... »

PAGES

1-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00345-022-04004-4

DOI

http://dx.doi.org/10.1007/s00345-022-04004-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1147380899

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35471668


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shaw", 
        "givenName": "Nathan M.", 
        "id": "sg:person.01322641331.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322641331.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hakam", 
        "givenName": "Nizar", 
        "id": "sg:person.014651772721.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014651772721.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lui", 
        "givenName": "Jason L.", 
        "id": "sg:person.011642307254.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011642307254.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nabavizadeh", 
        "givenName": "Behnam", 
        "id": "sg:person.0606432555.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606432555.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Kevin D.", 
        "id": "sg:person.011111645413.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011111645413.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Low", 
        "givenName": "Patrick", 
        "id": "sg:person.011756067234.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011756067234.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Abbasi", 
        "givenName": "Behzad", 
        "id": "sg:person.012001346774.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012001346774.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Epidemiology and Biostatistics, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA", 
          "id": "http://www.grid.ac/institutes/grid.266102.1", 
          "name": [
            "Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA", 
            "Department of Epidemiology and Biostatistics, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Breyer", 
        "givenName": "Benjamin N.", 
        "id": "sg:person.01325464177.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325464177.09"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2022-04-26", 
    "datePublishedReg": "2022-04-26", 
    "description": "PurposeTo evaluate the rate of perioperative venous thromboembolism (VTE) among patients undergoing common benign urologic reconstructive cases. We hypothesize that this rate will be lower than previously described.MethodsWe utilized the American College of Surgeons National Surgical Quality Improvement Project database from 2015 to 2019 to evaluate 30-day perioperative risk of VTE. Patients\u2009\u2265\u200918\u00a0years old undergoing benign urologic reconstructive cases were selected using\u00a0Current Procedural Terminology (CPT)\u00a0codes. Demographic, comorbidity, and operative variables were captured. The primary outcome was VTE within the 30-day postoperative period.ResultsWe identified 8467 patients who met inclusion criteria. The majority of patients were male (>\u200995%) with an average age of 65 and BMI of 29.6. There were 23 VTE events (0.27%) within the 30-day perioperative period. Fourteen (14/59) procedures had a perioperative VTE. Many of the traditional factors for VTE including operative time and obesity significantly increased risk of VTE in univariate analysis. In multivariate analysis, only BMI (OR 1.09; 95% CI 1.01\u20131.12) and inpatient status (OR 4.42; 95% CI 1.9\u201310.2) were correlated with increased perioperative VTE.ConclusionThe rate of VTE among patients undergoing benign urologic reconstructive cases is low. Providers should continue to have high index of suspicion particularly for inpatients with high BMI in addition to other known risk factors for VTE.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00345-022-04004-4", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1094127", 
        "issn": [
          "0724-4983", 
          "1433-8726"
        ], 
        "name": "World Journal of Urology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }
    ], 
    "keywords": [
      "perioperative venous thromboembolism", 
      "venous thromboembolism", 
      "Current Procedural Terminology", 
      "reconstructive cases", 
      "National Surgical Quality Improvement Project database", 
      "Surgeons National Surgical Quality Improvement Project database", 
      "rate of VTE", 
      "risk of VTE", 
      "majority of patients", 
      "perioperative risk", 
      "VTE events", 
      "postoperative period", 
      "perioperative period", 
      "primary outcome", 
      "operative time", 
      "higher BMI", 
      "univariate analysis", 
      "inpatient status", 
      "risk factors", 
      "inclusion criteria", 
      "American College", 
      "operative variables", 
      "high index", 
      "average age", 
      "patients", 
      "multivariate analysis", 
      "Procedural Terminology", 
      "BMI", 
      "thromboembolism", 
      "risk", 
      "Project database", 
      "comorbidities", 
      "obesity", 
      "inpatients", 
      "PurposeTo", 
      "cases", 
      "MethodsWe", 
      "incidence", 
      "suspicion", 
      "traditional factors", 
      "ResultsWe", 
      "outcomes", 
      "age", 
      "rate", 
      "period", 
      "factors", 
      "status", 
      "providers", 
      "majority", 
      "index", 
      "database", 
      "criteria", 
      "College", 
      "events", 
      "procedure", 
      "analysis", 
      "addition", 
      "variables", 
      "time", 
      "terminology", 
      "code"
    ], 
    "name": "Incidence of venous thromboembolism in benign urologic reconstructive cases", 
    "pagination": "1-8", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1147380899"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00345-022-04004-4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "35471668"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00345-022-04004-4", 
      "https://app.dimensions.ai/details/publication/pub.1147380899"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-06-01T22:25", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_941.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00345-022-04004-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00345-022-04004-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00345-022-04004-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00345-022-04004-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00345-022-04004-4'


 

This table displays all metadata directly associated to this object as RDF triples.

168 TRIPLES      21 PREDICATES      85 URIs      77 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00345-022-04004-4 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Nccb5b21bdbd54711bcb1c7e2b1f64375
4 schema:datePublished 2022-04-26
5 schema:datePublishedReg 2022-04-26
6 schema:description PurposeTo evaluate the rate of perioperative venous thromboembolism (VTE) among patients undergoing common benign urologic reconstructive cases. We hypothesize that this rate will be lower than previously described.MethodsWe utilized the American College of Surgeons National Surgical Quality Improvement Project database from 2015 to 2019 to evaluate 30-day perioperative risk of VTE. Patients ≥ 18 years old undergoing benign urologic reconstructive cases were selected using Current Procedural Terminology (CPT) codes. Demographic, comorbidity, and operative variables were captured. The primary outcome was VTE within the 30-day postoperative period.ResultsWe identified 8467 patients who met inclusion criteria. The majority of patients were male (> 95%) with an average age of 65 and BMI of 29.6. There were 23 VTE events (0.27%) within the 30-day perioperative period. Fourteen (14/59) procedures had a perioperative VTE. Many of the traditional factors for VTE including operative time and obesity significantly increased risk of VTE in univariate analysis. In multivariate analysis, only BMI (OR 1.09; 95% CI 1.01–1.12) and inpatient status (OR 4.42; 95% CI 1.9–10.2) were correlated with increased perioperative VTE.ConclusionThe rate of VTE among patients undergoing benign urologic reconstructive cases is low. Providers should continue to have high index of suspicion particularly for inpatients with high BMI in addition to other known risk factors for VTE.
7 schema:genre article
8 schema:inLanguage en
9 schema:isAccessibleForFree false
10 schema:isPartOf sg:journal.1094127
11 schema:keywords American College
12 BMI
13 College
14 Current Procedural Terminology
15 MethodsWe
16 National Surgical Quality Improvement Project database
17 Procedural Terminology
18 Project database
19 PurposeTo
20 ResultsWe
21 Surgeons National Surgical Quality Improvement Project database
22 VTE events
23 addition
24 age
25 analysis
26 average age
27 cases
28 code
29 comorbidities
30 criteria
31 database
32 events
33 factors
34 high index
35 higher BMI
36 incidence
37 inclusion criteria
38 index
39 inpatient status
40 inpatients
41 majority
42 majority of patients
43 multivariate analysis
44 obesity
45 operative time
46 operative variables
47 outcomes
48 patients
49 period
50 perioperative period
51 perioperative risk
52 perioperative venous thromboembolism
53 postoperative period
54 primary outcome
55 procedure
56 providers
57 rate
58 rate of VTE
59 reconstructive cases
60 risk
61 risk factors
62 risk of VTE
63 status
64 suspicion
65 terminology
66 thromboembolism
67 time
68 traditional factors
69 univariate analysis
70 variables
71 venous thromboembolism
72 schema:name Incidence of venous thromboembolism in benign urologic reconstructive cases
73 schema:pagination 1-8
74 schema:productId N2db0d5103c794c53b121990a6b07523d
75 N9a0156dd4ad94986ab481ca10c0005eb
76 Na31c5fbbf7fa494594743f071e460023
77 schema:sameAs https://app.dimensions.ai/details/publication/pub.1147380899
78 https://doi.org/10.1007/s00345-022-04004-4
79 schema:sdDatePublished 2022-06-01T22:25
80 schema:sdLicense https://scigraph.springernature.com/explorer/license/
81 schema:sdPublisher Na89f2c5682744d729682a55af8584f79
82 schema:url https://doi.org/10.1007/s00345-022-04004-4
83 sgo:license sg:explorer/license/
84 sgo:sdDataset articles
85 rdf:type schema:ScholarlyArticle
86 N17e6c806d3ea4ea7b7d22eb0942ff6d2 rdf:first sg:person.011111645413.32
87 rdf:rest N30a65d80c48f4339a3ca7a9358861f2c
88 N2db0d5103c794c53b121990a6b07523d schema:name doi
89 schema:value 10.1007/s00345-022-04004-4
90 rdf:type schema:PropertyValue
91 N2f30525163a7477fac921953a553216a rdf:first sg:person.01325464177.09
92 rdf:rest rdf:nil
93 N30a65d80c48f4339a3ca7a9358861f2c rdf:first sg:person.011756067234.10
94 rdf:rest N8b35cee46bc345a0b01cbef6ebf0c66b
95 N8b35cee46bc345a0b01cbef6ebf0c66b rdf:first sg:person.012001346774.63
96 rdf:rest N2f30525163a7477fac921953a553216a
97 N9a0156dd4ad94986ab481ca10c0005eb schema:name dimensions_id
98 schema:value pub.1147380899
99 rdf:type schema:PropertyValue
100 Na31c5fbbf7fa494594743f071e460023 schema:name pubmed_id
101 schema:value 35471668
102 rdf:type schema:PropertyValue
103 Na89f2c5682744d729682a55af8584f79 schema:name Springer Nature - SN SciGraph project
104 rdf:type schema:Organization
105 Ncb01c7ab86a34cb1a439c2b3c83dba8c rdf:first sg:person.014651772721.63
106 rdf:rest Nd638dde952834872a4a280124ad32926
107 Nccb5b21bdbd54711bcb1c7e2b1f64375 rdf:first sg:person.01322641331.15
108 rdf:rest Ncb01c7ab86a34cb1a439c2b3c83dba8c
109 Nd638dde952834872a4a280124ad32926 rdf:first sg:person.011642307254.58
110 rdf:rest Nfd17c2e3994545e58bb31e83c14fa815
111 Nfd17c2e3994545e58bb31e83c14fa815 rdf:first sg:person.0606432555.42
112 rdf:rest N17e6c806d3ea4ea7b7d22eb0942ff6d2
113 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
114 schema:name Medical and Health Sciences
115 rdf:type schema:DefinedTerm
116 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
117 schema:name Clinical Sciences
118 rdf:type schema:DefinedTerm
119 sg:journal.1094127 schema:issn 0724-4983
120 1433-8726
121 schema:name World Journal of Urology
122 schema:publisher Springer Nature
123 rdf:type schema:Periodical
124 sg:person.011111645413.32 schema:affiliation grid-institutes:grid.266102.1
125 schema:familyName Li
126 schema:givenName Kevin D.
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011111645413.32
128 rdf:type schema:Person
129 sg:person.011642307254.58 schema:affiliation grid-institutes:grid.266102.1
130 schema:familyName Lui
131 schema:givenName Jason L.
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011642307254.58
133 rdf:type schema:Person
134 sg:person.011756067234.10 schema:affiliation grid-institutes:grid.266102.1
135 schema:familyName Low
136 schema:givenName Patrick
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011756067234.10
138 rdf:type schema:Person
139 sg:person.012001346774.63 schema:affiliation grid-institutes:grid.266102.1
140 schema:familyName Abbasi
141 schema:givenName Behzad
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012001346774.63
143 rdf:type schema:Person
144 sg:person.01322641331.15 schema:affiliation grid-institutes:grid.266102.1
145 schema:familyName Shaw
146 schema:givenName Nathan M.
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01322641331.15
148 rdf:type schema:Person
149 sg:person.01325464177.09 schema:affiliation grid-institutes:grid.266102.1
150 schema:familyName Breyer
151 schema:givenName Benjamin N.
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325464177.09
153 rdf:type schema:Person
154 sg:person.014651772721.63 schema:affiliation grid-institutes:grid.266102.1
155 schema:familyName Hakam
156 schema:givenName Nizar
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014651772721.63
158 rdf:type schema:Person
159 sg:person.0606432555.42 schema:affiliation grid-institutes:grid.266102.1
160 schema:familyName Nabavizadeh
161 schema:givenName Behnam
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606432555.42
163 rdf:type schema:Person
164 grid-institutes:grid.266102.1 schema:alternateName Department of Epidemiology and Biostatistics, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA
165 Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA
166 schema:name Department of Epidemiology and Biostatistics, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA
167 Department of Urology, University of California San Francisco, 1001 Potrero Suite 3A, 94110, San Francisco, CA, USA
168 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...