PCT as a Prognostic Marker in Cardiac Patients with Neutropenic Sepsis: Two Case Reports View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-01

AUTHORS

Neelima Verma, Shaloo Kapoor, Deepa Rao, Siddhartha Sharma, Anita Arora

ABSTRACT

Procalcitonin (PCT) is an innovative and highly specific marker for diagnosis of clinically relevant bacterial infection and sepsis. PCT supports early diagnosis and Clinical decision making. A retrospective study of two classical cases of neutropenic sepsis with elevated PCT levels in cardiac ICU was done. PCT was analyzed using Elecsys Brahms PCT kit. Serum PCT levels <0.5 ng/ml and ANC <1,000/mm(3) was taken as cutoff. The first patient had initial high levels of PCT 100 ng/ml, TLC 13,600/mm(3) and ANC 12,250/mm(3). It was followed by drop with subsequent rise in PCT levels and drop in TLC 1,000/mm(3) and ANC 70/mm(3). The second patient had normal PCT 0.116 ng/ml, TLC 5,600/mm(3) and ANC 4,420/mm(3) levels followed with sharp increase in all the values with subsequent drop in TLC 2,000/mm(3) and ANC 880 cells/mm(3). Both the patients died of neutropenic sepsis with multiorgan failure. The case reports showed the correlation of PCT with TLC and ANC levels in predicting the mortality of patients with neutropenic sepsis in cardiac ICU. More... »

PAGES

107-111

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12291-013-0382-4

DOI

http://dx.doi.org/10.1007/s12291-013-0382-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035914796

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24478560


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Fortis Escorts Heart Institute", 
          "id": "https://www.grid.ac/institutes/grid.417966.b", 
          "name": [
            "Department of Clinical Biochemistry, Fortis Escorts Heart Institute, Okhla Road, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Verma", 
        "givenName": "Neelima", 
        "id": "sg:person.01362536672.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362536672.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fortis Escorts Heart Institute", 
          "id": "https://www.grid.ac/institutes/grid.417966.b", 
          "name": [
            "Super Religare Laboratories, Fortis Escorts Heart Institute, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kapoor", 
        "givenName": "Shaloo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fortis Escorts Heart Institute", 
          "id": "https://www.grid.ac/institutes/grid.417966.b", 
          "name": [
            "Super Religare Laboratories, Fortis Escorts Heart Institute, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rao", 
        "givenName": "Deepa", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fortis Escorts Heart Institute", 
          "id": "https://www.grid.ac/institutes/grid.417966.b", 
          "name": [
            "Super Religare Laboratories, Fortis Escorts Heart Institute, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sharma", 
        "givenName": "Siddhartha", 
        "id": "sg:person.01056136761.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01056136761.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Fortis Escorts Heart Institute", 
          "id": "https://www.grid.ac/institutes/grid.417966.b", 
          "name": [
            "Super Religare Laboratories, Fortis Escorts Heart Institute, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Arora", 
        "givenName": "Anita", 
        "id": "sg:person.01021474372.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021474372.17"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/00003246-200007000-00068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005027900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003246-200007000-00068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005027900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2334-9-157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006875853", 
          "https://doi.org/10.1186/1471-2334-9-157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2334-8-145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008118041", 
          "https://doi.org/10.1186/1471-2334-8-145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(93)90277-n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011351919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0140-6736(93)90277-n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011351919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000239116.01855.61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013511581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000239116.01855.61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013511581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ccm.0000239116.01855.61", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013511581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1253/circj.cj-10-0638", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019775766"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/inf.0b013e31806215e3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023599739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/inf.0b013e31806215e3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023599739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/inf.0b013e31806215e3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023599739"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2143(99)90053-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027599304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4103/0972-5229.78214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032482669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4103/0972-5229.78214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032482669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0018886", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032564873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s15010-008-7374-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036840229", 
          "https://doi.org/10.1007/s15010-008-7374-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2011.1831", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039151562"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2334-7-137", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041303255", 
          "https://doi.org/10.1186/1471-2334-7-137"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01713044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042699040", 
          "https://doi.org/10.1007/bf01713044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01713044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042699040", 
          "https://doi.org/10.1007/bf01713044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01713044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042699040", 
          "https://doi.org/10.1007/bf01713044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2334-11-224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044592465", 
          "https://doi.org/10.1186/1471-2334-11-224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s001340050644", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047827913", 
          "https://doi.org/10.1007/s001340050644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077173967", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077252865", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-01", 
    "datePublishedReg": "2014-01-01", 
    "description": "Procalcitonin (PCT) is an innovative and highly specific marker for diagnosis of clinically relevant bacterial infection and sepsis. PCT supports early diagnosis and Clinical decision making. A retrospective study of two classical cases of neutropenic sepsis with elevated PCT levels in cardiac ICU was done. PCT was analyzed using Elecsys Brahms PCT kit. Serum PCT levels <0.5 ng/ml and ANC <1,000/mm(3) was taken as cutoff. The first patient had initial high levels of PCT 100 ng/ml, TLC 13,600/mm(3) and ANC 12,250/mm(3). It was followed by drop with subsequent rise in PCT levels and drop in TLC 1,000/mm(3) and ANC 70/mm(3). The second patient had normal PCT 0.116 ng/ml, TLC 5,600/mm(3) and ANC 4,420/mm(3) levels followed with sharp increase in all the values with subsequent drop in TLC 2,000/mm(3) and ANC 880 cells/mm(3). Both the patients died of neutropenic sepsis with multiorgan failure. The case reports showed the correlation of PCT with TLC and ANC levels in predicting the mortality of patients with neutropenic sepsis in cardiac ICU. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12291-013-0382-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1097206", 
        "issn": [
          "0970-1915", 
          "0974-0422"
        ], 
        "name": "Indian Journal of Clinical Biochemistry", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "29"
      }
    ], 
    "name": "PCT as a Prognostic Marker in Cardiac Patients with Neutropenic Sepsis: Two Case Reports", 
    "pagination": "107-111", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ab164e99704a9720dcfc1f5166c61cd64f439381bb4c7985d7fc554ed984380b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24478560"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8708303"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12291-013-0382-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1035914796"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12291-013-0382-4", 
      "https://app.dimensions.ai/details/publication/pub.1035914796"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:02", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89822_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs12291-013-0382-4"
  }
]
 

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/s12291-013-0382-4'

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/s12291-013-0382-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12291-013-0382-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12291-013-0382-4'


 

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

155 TRIPLES      21 PREDICATES      47 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12291-013-0382-4 schema:about anzsrc-for:11
2 anzsrc-for:1103
3 schema:author Nde1f9757d636474da192e883000c6ed5
4 schema:citation sg:pub.10.1007/bf01713044
5 sg:pub.10.1007/s001340050644
6 sg:pub.10.1007/s15010-008-7374-y
7 sg:pub.10.1186/1471-2334-11-224
8 sg:pub.10.1186/1471-2334-7-137
9 sg:pub.10.1186/1471-2334-8-145
10 sg:pub.10.1186/1471-2334-9-157
11 https://app.dimensions.ai/details/publication/pub.1077173967
12 https://app.dimensions.ai/details/publication/pub.1077252865
13 https://doi.org/10.1001/jama.2011.1831
14 https://doi.org/10.1016/0140-6736(93)90277-n
15 https://doi.org/10.1016/s0022-2143(99)90053-7
16 https://doi.org/10.1097/00003246-200007000-00068
17 https://doi.org/10.1097/01.ccm.0000239116.01855.61
18 https://doi.org/10.1097/inf.0b013e31806215e3
19 https://doi.org/10.1253/circj.cj-10-0638
20 https://doi.org/10.1371/journal.pone.0018886
21 https://doi.org/10.4103/0972-5229.78214
22 schema:datePublished 2014-01
23 schema:datePublishedReg 2014-01-01
24 schema:description Procalcitonin (PCT) is an innovative and highly specific marker for diagnosis of clinically relevant bacterial infection and sepsis. PCT supports early diagnosis and Clinical decision making. A retrospective study of two classical cases of neutropenic sepsis with elevated PCT levels in cardiac ICU was done. PCT was analyzed using Elecsys Brahms PCT kit. Serum PCT levels <0.5 ng/ml and ANC <1,000/mm(3) was taken as cutoff. The first patient had initial high levels of PCT 100 ng/ml, TLC 13,600/mm(3) and ANC 12,250/mm(3). It was followed by drop with subsequent rise in PCT levels and drop in TLC 1,000/mm(3) and ANC 70/mm(3). The second patient had normal PCT 0.116 ng/ml, TLC 5,600/mm(3) and ANC 4,420/mm(3) levels followed with sharp increase in all the values with subsequent drop in TLC 2,000/mm(3) and ANC 880 cells/mm(3). Both the patients died of neutropenic sepsis with multiorgan failure. The case reports showed the correlation of PCT with TLC and ANC levels in predicting the mortality of patients with neutropenic sepsis in cardiac ICU.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree true
28 schema:isPartOf Nd69c6f4cdcbe49b99d74d3bdf8709ae3
29 Nfa18f1b7fe6941db8ee47d2101d67b2f
30 sg:journal.1097206
31 schema:name PCT as a Prognostic Marker in Cardiac Patients with Neutropenic Sepsis: Two Case Reports
32 schema:pagination 107-111
33 schema:productId N5b716f98ae9f45778dc4e5e0ad587c59
34 N8965609952aa446496ced37814ca9076
35 N99984fddc8784758a9e72eb61088d57a
36 Nedac2d34271940b581f2b2a7505e1799
37 Nfad7a9682f744ae3bc599470ca27b886
38 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035914796
39 https://doi.org/10.1007/s12291-013-0382-4
40 schema:sdDatePublished 2019-04-11T10:02
41 schema:sdLicense https://scigraph.springernature.com/explorer/license/
42 schema:sdPublisher N158abf3486ff4d9bb016f23af5033542
43 schema:url http://link.springer.com/10.1007%2Fs12291-013-0382-4
44 sgo:license sg:explorer/license/
45 sgo:sdDataset articles
46 rdf:type schema:ScholarlyArticle
47 N158abf3486ff4d9bb016f23af5033542 schema:name Springer Nature - SN SciGraph project
48 rdf:type schema:Organization
49 N24f70e02f9044a59be217235464c9bdb schema:affiliation https://www.grid.ac/institutes/grid.417966.b
50 schema:familyName Rao
51 schema:givenName Deepa
52 rdf:type schema:Person
53 N5b716f98ae9f45778dc4e5e0ad587c59 schema:name pubmed_id
54 schema:value 24478560
55 rdf:type schema:PropertyValue
56 N7ac6152419f444fea74208b6bcffab6c rdf:first N24f70e02f9044a59be217235464c9bdb
57 rdf:rest Nbf846ad6039e4d748b7f4137fa75cdb4
58 N8965609952aa446496ced37814ca9076 schema:name readcube_id
59 schema:value ab164e99704a9720dcfc1f5166c61cd64f439381bb4c7985d7fc554ed984380b
60 rdf:type schema:PropertyValue
61 N99984fddc8784758a9e72eb61088d57a schema:name dimensions_id
62 schema:value pub.1035914796
63 rdf:type schema:PropertyValue
64 Nbee22ca7093149f0a2edbaaa19ce798c schema:affiliation https://www.grid.ac/institutes/grid.417966.b
65 schema:familyName Kapoor
66 schema:givenName Shaloo
67 rdf:type schema:Person
68 Nbf846ad6039e4d748b7f4137fa75cdb4 rdf:first sg:person.01056136761.49
69 rdf:rest Nf55e953471a94ca8a6a9ca2b796a826b
70 Nd69c6f4cdcbe49b99d74d3bdf8709ae3 schema:volumeNumber 29
71 rdf:type schema:PublicationVolume
72 Nde1f9757d636474da192e883000c6ed5 rdf:first sg:person.01362536672.96
73 rdf:rest Nfa99769af2ea49a4b84e242da0db4201
74 Nedac2d34271940b581f2b2a7505e1799 schema:name doi
75 schema:value 10.1007/s12291-013-0382-4
76 rdf:type schema:PropertyValue
77 Nf55e953471a94ca8a6a9ca2b796a826b rdf:first sg:person.01021474372.17
78 rdf:rest rdf:nil
79 Nfa18f1b7fe6941db8ee47d2101d67b2f schema:issueNumber 1
80 rdf:type schema:PublicationIssue
81 Nfa99769af2ea49a4b84e242da0db4201 rdf:first Nbee22ca7093149f0a2edbaaa19ce798c
82 rdf:rest N7ac6152419f444fea74208b6bcffab6c
83 Nfad7a9682f744ae3bc599470ca27b886 schema:name nlm_unique_id
84 schema:value 8708303
85 rdf:type schema:PropertyValue
86 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
87 schema:name Medical and Health Sciences
88 rdf:type schema:DefinedTerm
89 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
90 schema:name Clinical Sciences
91 rdf:type schema:DefinedTerm
92 sg:journal.1097206 schema:issn 0970-1915
93 0974-0422
94 schema:name Indian Journal of Clinical Biochemistry
95 rdf:type schema:Periodical
96 sg:person.01021474372.17 schema:affiliation https://www.grid.ac/institutes/grid.417966.b
97 schema:familyName Arora
98 schema:givenName Anita
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021474372.17
100 rdf:type schema:Person
101 sg:person.01056136761.49 schema:affiliation https://www.grid.ac/institutes/grid.417966.b
102 schema:familyName Sharma
103 schema:givenName Siddhartha
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01056136761.49
105 rdf:type schema:Person
106 sg:person.01362536672.96 schema:affiliation https://www.grid.ac/institutes/grid.417966.b
107 schema:familyName Verma
108 schema:givenName Neelima
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362536672.96
110 rdf:type schema:Person
111 sg:pub.10.1007/bf01713044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042699040
112 https://doi.org/10.1007/bf01713044
113 rdf:type schema:CreativeWork
114 sg:pub.10.1007/s001340050644 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047827913
115 https://doi.org/10.1007/s001340050644
116 rdf:type schema:CreativeWork
117 sg:pub.10.1007/s15010-008-7374-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1036840229
118 https://doi.org/10.1007/s15010-008-7374-y
119 rdf:type schema:CreativeWork
120 sg:pub.10.1186/1471-2334-11-224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044592465
121 https://doi.org/10.1186/1471-2334-11-224
122 rdf:type schema:CreativeWork
123 sg:pub.10.1186/1471-2334-7-137 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041303255
124 https://doi.org/10.1186/1471-2334-7-137
125 rdf:type schema:CreativeWork
126 sg:pub.10.1186/1471-2334-8-145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008118041
127 https://doi.org/10.1186/1471-2334-8-145
128 rdf:type schema:CreativeWork
129 sg:pub.10.1186/1471-2334-9-157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006875853
130 https://doi.org/10.1186/1471-2334-9-157
131 rdf:type schema:CreativeWork
132 https://app.dimensions.ai/details/publication/pub.1077173967 schema:CreativeWork
133 https://app.dimensions.ai/details/publication/pub.1077252865 schema:CreativeWork
134 https://doi.org/10.1001/jama.2011.1831 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039151562
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1016/0140-6736(93)90277-n schema:sameAs https://app.dimensions.ai/details/publication/pub.1011351919
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1016/s0022-2143(99)90053-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027599304
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1097/00003246-200007000-00068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005027900
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1097/01.ccm.0000239116.01855.61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013511581
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1097/inf.0b013e31806215e3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023599739
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1253/circj.cj-10-0638 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019775766
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1371/journal.pone.0018886 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032564873
149 rdf:type schema:CreativeWork
150 https://doi.org/10.4103/0972-5229.78214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032482669
151 rdf:type schema:CreativeWork
152 https://www.grid.ac/institutes/grid.417966.b schema:alternateName Fortis Escorts Heart Institute
153 schema:name Department of Clinical Biochemistry, Fortis Escorts Heart Institute, Okhla Road, New Delhi, India
154 Super Religare Laboratories, Fortis Escorts Heart Institute, New Delhi, India
155 rdf:type schema:Organization
 




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


...