Abstract
Background
Gastrointestinal bleeding (GIB) is a common adverse event after mechanical circulatory support device implantation. However, the majority of the reported data were obtained from small single-center studies. Our aim was to study the prevalence and predictors of GIB during the index hospitalization of mechanical circulatory support devices implantation using a nationwide database.
Methods
Nationwide inpatient sample (2009–2011) was used to perform a retrospective cross-sectional study. Adult patients with discharge diagnosis codes of congestive heart failure and procedure codes of left-ventricular assist device (LVAD) or intra-aortic balloon pump (IABP) implantation or orthotopic heart transplant (OHT, reference group) were identified. Our outcome was GIB during the index hospitalization when the device was implanted. Predictors that achieved statistical significance on the univariate analysis were included in a multivariable logistic-regression analysis.
Results
A total of 87,462 patients were included, 87 % of the patients received an IABP, 6 % received LVAD, and 5 % underwent OHT. Prevalence of GIB was 8, 5, and 3 % among those who had LVAD, IABP implantation, and OHT recipients, respectively (p < 0.001). Patients who underwent LVAD implantation had twofold increase in the prevalence of GIB (OR 2.1, 1.7–2.5, p < 0.001) when using IABP or OHT groups as a reference. This increase in the prevalence was not demonstrated among IABP recipients on a multivariate level.
Conclusion
Prevalence of GIB was higher among LVAD compared to OHT and IABP recipients and could occur as early as the index admission of the device implantation.
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Authors’ Contributions
Ali Abbas contributed to study concept and design; acquisition of data; statistical analysis; interpretation of the results; drafting of the manuscript; critical revision of the manuscript for important intellectual content. Ahmed Mahmoud contributed to study design, interpretation of the results; drafting of the manuscript and critical revision of the manuscript for important intellectual content. Mustafa Ahmed contributed to interpretation of the results; critical revision of the manuscript. Juan Aranda Jr. contributed to interpretation of results and critical revision of the manuscript. Charles T. Klodell Jr. contributed to interpretation of results and critical revision of the manuscript. Peter V. Draganov contributed to study concept and design; interpretation of the results; drafting of the manuscript; critical revision of the manuscript, and supervision of research activity.
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All authors have no potential conflicts (financial, professional, or personal) that are relevant to this manuscript. The study was conducted, and the manuscript was written and reviewed solely by the authors.
Appendices
Appendix 1: Identification of Gastrointestinal Bleeding
We used previously reported criteria to identify the spectrum of GIB from ICD9 in the NIS database [13–15]. GIB was identified by the presence of a specific code of cause with hemorrhage (example: duodenal ulcer with hemorrhage), or code of potential GIB cause and code of nonspecific GIB (duodenal ulcer + hematemesis or blood in stool codes), or code of GIB cause and code acute hemorrhagic anemia, or code of hematemesis or blood in stool codes (with no specific GI source), were classified as GIB not otherwise specified (NOS).
Based on the ICD9 codes, the final classification of GIB source and causes was as follows, upper GIB including: esophageal variceal bleed, non-variceal esophageal bleed, such as, esophagitis, ulcer, and Mallory–Weiss syndrome (MW), gastro-duodenal-jejunum pathology including ulcer, or inflammation, upper GI AVM and upper GIB NOS. Lower GIB including: AVM, diverticulosis, hemorrhoids or anal fissure, neoplastic lesions including polyps, or cancer, colitis, colon ulcer, ischemic colitis and lower GIB NOS. And GIB NOS if no code for potential source was found. Groups could overlap with the presence of more than one source.
Other Predictors of GIB Definitions
We identified acute complications that might have occurred during hospitalization, like AKI. For that purpose, we implemented previously used and validated algorithm [17, 18]. AKI was defined as the presence of specific ICD9 codes. AKI required dialysis (AKI/HD) was identified by the presence of AKI codes with hemodialysis codes, in the absence of end-stage renal disease (ESRD) codes. Presence of dialysis code without AKI codes and/or presence of ESRD specific codes identified ESRD. Patients with chronic kidney disease (CKD) codes were identified. Those with ESRD are mutually exclusive with the other groups of patients. However, patients with CKD can have AKI or AKI-HD [17–19].
We identified the occurrence of sepsis using a previously reported combination of ICD9 codes [17, 18]. Additionally, the occurrence of DIC, DVT, and pulmonary embolism were identified. The need for intubation—mechanical ventilation, and enteral or parenteral feeding were identified and included in the analysis as they can reflect the overall clinical severity. Liver disease was classified to mild (without complication of portal hypertension) and moderate to severe (with portal hypertension complications). Full list of the ICD9 codes that were used in this study is provided in the Appendix 2.
Appendix 2
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Abbas, A., Mahmoud, A., Ahmed, M. et al. Gastrointestinal Bleeding During the Index Hospitalization for Mechanical Circulatory Support Devices Implantation, a Nationwide Perspective. Dig Dis Sci 62, 161–174 (2017). https://doi.org/10.1007/s10620-016-4271-6
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DOI: https://doi.org/10.1007/s10620-016-4271-6