Heart rate score and outcomes in ICD patients: insights from the prospective randomized INTRINSIC RV trial View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-11-15

AUTHORS

Rakesh Gopinathannair, Arjun Sharma, Paul Jones, Connor English, Stephen Furmanek, Brian Olshansky

ABSTRACT

BackgroundHeart rate score (HRSc), the percentage of atrial sensed and paced beats in the largest 10 beat/min bin of a device histogram and mean intrinsic heart rate (MIHR), predicted survival in nonrandomized studies of implantable defibrillator (ICD) patients. We evaluated whether HRSc and MIHR independently predicted mortality and heart failure (HF) hospitalization in the prospective, randomized, controlled INTRINSIC RV trial.Methods and resultsThe INTRINSIC RV trial enrolled 1530 patients receiving dual-chamber ICDs. This analysis involves patients (n = 1471) for whom MIHR and HRSc data were available. Mean follow-up was 10.4 months. The relationship between pre-randomization MIHR and HRSc on the primary endpoint of all-cause mortality and HF hospitalization was assessed using multivariate regression and Cox modeling. As categorical variables, MIHR > 70 bpm and HRSc > 70% were considered high.ResultsThe median baseline MIHR and HRSc were 74 (IQR = 16) and 50% (IQR = 20) respectively. As a continuous variable, for every 1% increase in HRSc, death/HF hospitalization increased by 1% (95%CI: 1.002–1.017; p = 0.01). Regression analysis showed baseline MIHR was associated with HRSc (p = 0.01); for every 1 beat/min increase in MIHR, HRSc increased by 1.8%. A MIHR > 70 bpm and HRSc ≥ 70% predicted, but were independently associated with, the primary endpoint (HR: 1.39; 95%CI: 1.10–1.76, p = 0.005 for MIHR and HR: 1.654; 95%CI: 1.11–2.46, p = 0.01 for HRSc). Male gender (HR: 0.75), history of HF (HR: 1.29), and atrial fibrillation (HR: 1.37) also predicted death/hospitalization in the Cox model.ConclusionsIn this large, prospectively studied ICD population, HRSc was a robust and independent predictor of death/HF hospitalization. High MIHR and high HRSc were associated but each predicted outcomes independently. More... »

PAGES

1-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10840-021-01091-y

DOI

http://dx.doi.org/10.1007/s10840-021-01091-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1142587134

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34778910


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kansas City Heart Rhythm Institute, 5100 W 110th St, Ste 200, 66211, Overland Park, KS, USA", 
          "id": "http://www.grid.ac/institutes/grid.488874.f", 
          "name": [
            "Kansas City Heart Rhythm Institute, 5100 W 110th St, Ste 200, 66211, Overland Park, KS, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gopinathannair", 
        "givenName": "Rakesh", 
        "id": "sg:person.01256241570.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256241570.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical Devices Consultants LLC, Saint Paul, MN, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Medical Devices Consultants LLC, Saint Paul, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sharma", 
        "givenName": "Arjun", 
        "id": "sg:person.011321333304.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011321333304.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Boston Scientific Corp, Minneapolis, MN, USA", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Boston Scientific Corp, Minneapolis, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jones", 
        "givenName": "Paul", 
        "id": "sg:person.01132111763.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132111763.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Louisville, Louisville, KY, USA", 
          "id": "http://www.grid.ac/institutes/grid.266623.5", 
          "name": [
            "University of Louisville, Louisville, KY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "English", 
        "givenName": "Connor", 
        "id": "sg:person.07710202025.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07710202025.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Louisville, Louisville, KY, USA", 
          "id": "http://www.grid.ac/institutes/grid.266623.5", 
          "name": [
            "University of Louisville, Louisville, KY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Furmanek", 
        "givenName": "Stephen", 
        "id": "sg:person.013325574551.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013325574551.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Iowa Hospitals and Clinics, Iowa City, IA, USA", 
          "id": "http://www.grid.ac/institutes/grid.412584.e", 
          "name": [
            "University of Iowa Hospitals and Clinics, Iowa City, IA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Olshansky", 
        "givenName": "Brian", 
        "id": "sg:person.01165446251.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165446251.04"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2021-11-15", 
    "datePublishedReg": "2021-11-15", 
    "description": "Abstract\nBackgroundHeart rate score (HRSc), the percentage of atrial sensed and paced beats in the largest 10 beat/min bin of a device histogram and mean intrinsic heart rate (MIHR), predicted survival in nonrandomized studies of implantable defibrillator (ICD) patients. We evaluated whether HRSc and MIHR independently predicted mortality and heart failure (HF) hospitalization in the prospective, randomized, controlled INTRINSIC RV trial.Methods and resultsThe INTRINSIC RV trial enrolled 1530 patients receiving dual-chamber ICDs. This analysis involves patients (n\u2009=\u20091471) for whom MIHR and HRSc data were available. Mean follow-up was 10.4\u00a0months. The relationship between pre-randomization MIHR and HRSc on the primary endpoint of all-cause mortality and HF hospitalization was assessed using multivariate regression and Cox modeling. As categorical variables, MIHR\u2009>\u200970\u00a0bpm and HRSc\u2009>\u200970% were considered high.ResultsThe median baseline MIHR and HRSc were 74 (IQR\u2009=\u200916) and 50% (IQR\u2009=\u200920) respectively. As a continuous variable, for every 1% increase in HRSc, death/HF hospitalization increased by 1% (95%CI: 1.002\u20131.017; p\u2009=\u20090.01). Regression analysis showed baseline MIHR was associated with HRSc (p\u2009=\u20090.01); for every 1 beat/min increase in MIHR, HRSc increased by 1.8%. A MIHR\u2009>\u200970\u00a0bpm and HRSc\u2009\u2265\u200970% predicted, but were independently associated with, the primary endpoint (HR: 1.39; 95%CI: 1.10\u20131.76, p\u2009=\u20090.005 for MIHR and HR: 1.654; 95%CI: 1.11\u20132.46, p\u2009=\u20090.01 for HRSc). Male gender (HR: 0.75), history of HF (HR: 1.29), and atrial fibrillation (HR: 1.37) also predicted death/hospitalization in the Cox model.ConclusionsIn this large, prospectively studied ICD population, HRSc was a robust and independent predictor of death/HF hospitalization. High MIHR and high HRSc were associated but each predicted outcomes independently.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10840-021-01091-y", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1116996", 
        "issn": [
          "1383-875X", 
          "1573-725X"
        ], 
        "name": "Journal of Interventional Cardiac Electrophysiology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }
    ], 
    "keywords": [
      "INTRINSIC RV trial", 
      "death/HF hospitalization", 
      "HF hospitalization", 
      "primary endpoint", 
      "beats/min increase", 
      "history of HF", 
      "death/hospitalization", 
      "heart failure hospitalization", 
      "intrinsic heart rate", 
      "dual-chamber ICD", 
      "implantable defibrillator patients", 
      "failure hospitalization", 
      "cause mortality", 
      "heart rate score", 
      "Cox modeling", 
      "independent predictors", 
      "ICD patients", 
      "nonrandomized study", 
      "atrial fibrillation", 
      "rate score", 
      "defibrillator patients", 
      "ICD population", 
      "male gender", 
      "heart rate", 
      "hospitalization", 
      "Cox model", 
      "patients", 
      "min increase", 
      "categorical variables", 
      "trials", 
      "multivariate regression", 
      "regression analysis", 
      "continuous variables", 
      "mortality", 
      "endpoint", 
      "outcomes", 
      "bpm", 
      "scores", 
      "min bins", 
      "fibrillation", 
      "MIHR", 
      "ICD", 
      "months", 
      "survival", 
      "ConclusionsIn", 
      "predictors", 
      "beats", 
      "increase", 
      "gender", 
      "regression", 
      "population", 
      "percentage", 
      "history", 
      "variables", 
      "study", 
      "rate", 
      "analysis", 
      "data", 
      "relationship", 
      "HF", 
      "insights", 
      "method", 
      "model", 
      "histogram", 
      "HRSC", 
      "modeling", 
      "HRSC data", 
      "bins"
    ], 
    "name": "Heart rate score and outcomes in ICD patients: insights from the prospective randomized INTRINSIC RV trial", 
    "pagination": "1-7", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1142587134"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10840-021-01091-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34778910"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10840-021-01091-y", 
      "https://app.dimensions.ai/details/publication/pub.1142587134"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:38", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_876.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10840-021-01091-y"
  }
]
 

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/s10840-021-01091-y'

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/s10840-021-01091-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10840-021-01091-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10840-021-01091-y'


 

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

170 TRIPLES      21 PREDICATES      92 URIs      84 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10840-021-01091-y schema:about anzsrc-for:11
2 anzsrc-for:1102
3 schema:author Nac941a379bba42d0829e6caa8483511a
4 schema:datePublished 2021-11-15
5 schema:datePublishedReg 2021-11-15
6 schema:description Abstract BackgroundHeart rate score (HRSc), the percentage of atrial sensed and paced beats in the largest 10 beat/min bin of a device histogram and mean intrinsic heart rate (MIHR), predicted survival in nonrandomized studies of implantable defibrillator (ICD) patients. We evaluated whether HRSc and MIHR independently predicted mortality and heart failure (HF) hospitalization in the prospective, randomized, controlled INTRINSIC RV trial.Methods and resultsThe INTRINSIC RV trial enrolled 1530 patients receiving dual-chamber ICDs. This analysis involves patients (n = 1471) for whom MIHR and HRSc data were available. Mean follow-up was 10.4 months. The relationship between pre-randomization MIHR and HRSc on the primary endpoint of all-cause mortality and HF hospitalization was assessed using multivariate regression and Cox modeling. As categorical variables, MIHR > 70 bpm and HRSc > 70% were considered high.ResultsThe median baseline MIHR and HRSc were 74 (IQR = 16) and 50% (IQR = 20) respectively. As a continuous variable, for every 1% increase in HRSc, death/HF hospitalization increased by 1% (95%CI: 1.002–1.017; p = 0.01). Regression analysis showed baseline MIHR was associated with HRSc (p = 0.01); for every 1 beat/min increase in MIHR, HRSc increased by 1.8%. A MIHR > 70 bpm and HRSc ≥ 70% predicted, but were independently associated with, the primary endpoint (HR: 1.39; 95%CI: 1.10–1.76, p = 0.005 for MIHR and HR: 1.654; 95%CI: 1.11–2.46, p = 0.01 for HRSc). Male gender (HR: 0.75), history of HF (HR: 1.29), and atrial fibrillation (HR: 1.37) also predicted death/hospitalization in the Cox model.ConclusionsIn this large, prospectively studied ICD population, HRSc was a robust and independent predictor of death/HF hospitalization. High MIHR and high HRSc were associated but each predicted outcomes independently.
7 schema:genre article
8 schema:inLanguage en
9 schema:isAccessibleForFree false
10 schema:isPartOf sg:journal.1116996
11 schema:keywords ConclusionsIn
12 Cox model
13 Cox modeling
14 HF
15 HF hospitalization
16 HRSC
17 HRSC data
18 ICD
19 ICD patients
20 ICD population
21 INTRINSIC RV trial
22 MIHR
23 analysis
24 atrial fibrillation
25 beats
26 beats/min increase
27 bins
28 bpm
29 categorical variables
30 cause mortality
31 continuous variables
32 data
33 death/HF hospitalization
34 death/hospitalization
35 defibrillator patients
36 dual-chamber ICD
37 endpoint
38 failure hospitalization
39 fibrillation
40 gender
41 heart failure hospitalization
42 heart rate
43 heart rate score
44 histogram
45 history
46 history of HF
47 hospitalization
48 implantable defibrillator patients
49 increase
50 independent predictors
51 insights
52 intrinsic heart rate
53 male gender
54 method
55 min bins
56 min increase
57 model
58 modeling
59 months
60 mortality
61 multivariate regression
62 nonrandomized study
63 outcomes
64 patients
65 percentage
66 population
67 predictors
68 primary endpoint
69 rate
70 rate score
71 regression
72 regression analysis
73 relationship
74 scores
75 study
76 survival
77 trials
78 variables
79 schema:name Heart rate score and outcomes in ICD patients: insights from the prospective randomized INTRINSIC RV trial
80 schema:pagination 1-7
81 schema:productId N6ea7280afe634a478c88d3b568a17c11
82 N83196a75e0ad4bcc843f5657ad6b6b0e
83 Na510693d564047d5939f63aa9bae1ced
84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1142587134
85 https://doi.org/10.1007/s10840-021-01091-y
86 schema:sdDatePublished 2022-05-20T07:38
87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
88 schema:sdPublisher N758a3534445f4a4da4c2c813d7cef4a4
89 schema:url https://doi.org/10.1007/s10840-021-01091-y
90 sgo:license sg:explorer/license/
91 sgo:sdDataset articles
92 rdf:type schema:ScholarlyArticle
93 N025bc9081149451dadb91d5be5662f56 rdf:first sg:person.01132111763.82
94 rdf:rest N307184cbb2b646ddae923a16f7c1c706
95 N307184cbb2b646ddae923a16f7c1c706 rdf:first sg:person.07710202025.16
96 rdf:rest N5a2a675d9c7045929375402cdf7438cc
97 N5a2a675d9c7045929375402cdf7438cc rdf:first sg:person.013325574551.02
98 rdf:rest Ned86e12ebf334dba8b12c9fbd4d1c246
99 N6ea7280afe634a478c88d3b568a17c11 schema:name dimensions_id
100 schema:value pub.1142587134
101 rdf:type schema:PropertyValue
102 N758a3534445f4a4da4c2c813d7cef4a4 schema:name Springer Nature - SN SciGraph project
103 rdf:type schema:Organization
104 N83196a75e0ad4bcc843f5657ad6b6b0e schema:name doi
105 schema:value 10.1007/s10840-021-01091-y
106 rdf:type schema:PropertyValue
107 N8e7adcb05d5c4f9188ce334f7a0c2dec rdf:first sg:person.011321333304.12
108 rdf:rest N025bc9081149451dadb91d5be5662f56
109 Na510693d564047d5939f63aa9bae1ced schema:name pubmed_id
110 schema:value 34778910
111 rdf:type schema:PropertyValue
112 Nac941a379bba42d0829e6caa8483511a rdf:first sg:person.01256241570.07
113 rdf:rest N8e7adcb05d5c4f9188ce334f7a0c2dec
114 Ned86e12ebf334dba8b12c9fbd4d1c246 rdf:first sg:person.01165446251.04
115 rdf:rest rdf:nil
116 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
117 schema:name Medical and Health Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
120 schema:name Cardiorespiratory Medicine and Haematology
121 rdf:type schema:DefinedTerm
122 sg:journal.1116996 schema:issn 1383-875X
123 1573-725X
124 schema:name Journal of Interventional Cardiac Electrophysiology
125 schema:publisher Springer Nature
126 rdf:type schema:Periodical
127 sg:person.01132111763.82 schema:affiliation grid-institutes:None
128 schema:familyName Jones
129 schema:givenName Paul
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132111763.82
131 rdf:type schema:Person
132 sg:person.011321333304.12 schema:affiliation grid-institutes:None
133 schema:familyName Sharma
134 schema:givenName Arjun
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011321333304.12
136 rdf:type schema:Person
137 sg:person.01165446251.04 schema:affiliation grid-institutes:grid.412584.e
138 schema:familyName Olshansky
139 schema:givenName Brian
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165446251.04
141 rdf:type schema:Person
142 sg:person.01256241570.07 schema:affiliation grid-institutes:grid.488874.f
143 schema:familyName Gopinathannair
144 schema:givenName Rakesh
145 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256241570.07
146 rdf:type schema:Person
147 sg:person.013325574551.02 schema:affiliation grid-institutes:grid.266623.5
148 schema:familyName Furmanek
149 schema:givenName Stephen
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013325574551.02
151 rdf:type schema:Person
152 sg:person.07710202025.16 schema:affiliation grid-institutes:grid.266623.5
153 schema:familyName English
154 schema:givenName Connor
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07710202025.16
156 rdf:type schema:Person
157 grid-institutes:None schema:alternateName Boston Scientific Corp, Minneapolis, MN, USA
158 Medical Devices Consultants LLC, Saint Paul, MN, USA
159 schema:name Boston Scientific Corp, Minneapolis, MN, USA
160 Medical Devices Consultants LLC, Saint Paul, MN, USA
161 rdf:type schema:Organization
162 grid-institutes:grid.266623.5 schema:alternateName University of Louisville, Louisville, KY, USA
163 schema:name University of Louisville, Louisville, KY, USA
164 rdf:type schema:Organization
165 grid-institutes:grid.412584.e schema:alternateName University of Iowa Hospitals and Clinics, Iowa City, IA, USA
166 schema:name University of Iowa Hospitals and Clinics, Iowa City, IA, USA
167 rdf:type schema:Organization
168 grid-institutes:grid.488874.f schema:alternateName Kansas City Heart Rhythm Institute, 5100 W 110th St, Ste 200, 66211, Overland Park, KS, USA
169 schema:name Kansas City Heart Rhythm Institute, 5100 W 110th St, Ste 200, 66211, Overland Park, KS, USA
170 rdf:type schema:Organization
 




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


...