Economic Impact of Early-in-Hospital Diagnosis and Initiation of Eculizumab in Atypical Haemolytic Uraemic Syndrome

Background Atypical haemolytic uraemic syndrome (aHUS) is a rare, potentially life-threatening condition caused by dysregulation of the complement pathway. Eculizumab is currently the only approved treatment for this disorder. Objective Our objective was to investigate the impact of early administra...

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Veröffentlicht in:PharmacoEconomics 2020-03, Vol.38 (3), p.307-313
Hauptverfasser: Ryan, Michael, Donato, Bonnie M. K., Irish, William, Gasteyger, Christoph, L’Italien, Gilbert, Laurence, Jeffrey
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container_issue 3
container_start_page 307
container_title PharmacoEconomics
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creator Ryan, Michael
Donato, Bonnie M. K.
Irish, William
Gasteyger, Christoph
L’Italien, Gilbert
Laurence, Jeffrey
description Background Atypical haemolytic uraemic syndrome (aHUS) is a rare, potentially life-threatening condition caused by dysregulation of the complement pathway. Eculizumab is currently the only approved treatment for this disorder. Objective Our objective was to investigate the impact of early administration of eculizumab on inpatient resource use and hospitalisation costs in 222 patients with aHUS. Methods We conducted a retrospective analysis of the Premier Perspective ® Hospital Database, including patients with a diagnosis of aHUS and evidence of eculizumab use for aHUS. Early initiation was defined as having received eculizumab within 7 days of admission, with late initiation defined as starting eculizumab on day 8 or later. This date represents the average time required to obtain a specific diagnostic test to discriminate aHUS from a similar haemolytic syndrome that requires a different treatment. Outcome measures were time from first eculizumab initiation to discharge, discharge status or death, days spent in the intensive care unit (ICU), readmission indicators, dialysis indicators, and total hospital costs. Time from first eculizumab initiation to discharge was analysed using a generalised linear model with a log link and an assumed underlying negative binomial distribution. Logistic regression models were used to test the statistical significance of early versus late initiation as a predictor of the occurrence of readmissions, dialysis, and death. Total hospital costs were analysed using a generalised linear model with a log link and an assumed underlying gamma distribution. Results Before modelling, total length of stay and ICU duration were significantly longer for late initiators than for early initiators, and significantly more late initiators were readmitted within 90 days. Late initiation was associated with significantly higher hospital costs than early initiation. After multivariable analysis, late initiators were 3.2 times more likely to require dialysis. However, there was no significant association between early initiation and time to discharge, readmission, or death for any definition or early initiation after multivariable analysis. Estimated total hospital costs (year 2017 values) were $US103,557 in late initiators and $US85,776 in early initiators ( p  = 0.0024). Conclusion Initiation of eculizumab within 7 days of hospitalisation is associated with lower dialysis rates, less time in ICU, less plasmapheresis, and lower hospitalisation c
doi_str_mv 10.1007/s40273-019-00862-w
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K. ; Irish, William ; Gasteyger, Christoph ; L’Italien, Gilbert ; Laurence, Jeffrey</creator><creatorcontrib>Ryan, Michael ; Donato, Bonnie M. K. ; Irish, William ; Gasteyger, Christoph ; L’Italien, Gilbert ; Laurence, Jeffrey</creatorcontrib><description>Background Atypical haemolytic uraemic syndrome (aHUS) is a rare, potentially life-threatening condition caused by dysregulation of the complement pathway. Eculizumab is currently the only approved treatment for this disorder. Objective Our objective was to investigate the impact of early administration of eculizumab on inpatient resource use and hospitalisation costs in 222 patients with aHUS. Methods We conducted a retrospective analysis of the Premier Perspective ® Hospital Database, including patients with a diagnosis of aHUS and evidence of eculizumab use for aHUS. Early initiation was defined as having received eculizumab within 7 days of admission, with late initiation defined as starting eculizumab on day 8 or later. This date represents the average time required to obtain a specific diagnostic test to discriminate aHUS from a similar haemolytic syndrome that requires a different treatment. Outcome measures were time from first eculizumab initiation to discharge, discharge status or death, days spent in the intensive care unit (ICU), readmission indicators, dialysis indicators, and total hospital costs. Time from first eculizumab initiation to discharge was analysed using a generalised linear model with a log link and an assumed underlying negative binomial distribution. Logistic regression models were used to test the statistical significance of early versus late initiation as a predictor of the occurrence of readmissions, dialysis, and death. Total hospital costs were analysed using a generalised linear model with a log link and an assumed underlying gamma distribution. Results Before modelling, total length of stay and ICU duration were significantly longer for late initiators than for early initiators, and significantly more late initiators were readmitted within 90 days. Late initiation was associated with significantly higher hospital costs than early initiation. After multivariable analysis, late initiators were 3.2 times more likely to require dialysis. However, there was no significant association between early initiation and time to discharge, readmission, or death for any definition or early initiation after multivariable analysis. Estimated total hospital costs (year 2017 values) were $US103,557 in late initiators and $US85,776 in early initiators ( p  = 0.0024). Conclusion Initiation of eculizumab within 7 days of hospitalisation is associated with lower dialysis rates, less time in ICU, less plasmapheresis, and lower hospitalisation costs compared with late initiation.</description><identifier>ISSN: 1170-7690</identifier><identifier>EISSN: 1179-2027</identifier><identifier>DOI: 10.1007/s40273-019-00862-w</identifier><identifier>PMID: 31828738</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Adult ; Analysis ; Antibodies, Monoclonal, Humanized - administration &amp; dosage ; Antibodies, Monoclonal, Humanized - economics ; Antibodies, Monoclonal, Humanized - therapeutic use ; Apheresis ; Atypical Hemolytic Uremic Syndrome - diagnosis ; Atypical Hemolytic Uremic Syndrome - drug therapy ; Atypical Hemolytic Uremic Syndrome - economics ; Binomial distribution ; Complement Inactivating Agents - administration &amp; dosage ; Complement Inactivating Agents - economics ; Complement Inactivating Agents - therapeutic use ; Cost-Benefit Analysis ; Databases, Factual ; Diagnosis ; Drug therapy ; Early Diagnosis ; Economic aspects ; Economic impact ; Female ; Health Administration ; Health Economics ; Hemodialysis ; Hemolytic-uremic syndrome ; Hospital costs ; Hospital patients ; Hospitalization ; Hospitalization - economics ; Humans ; Intensive care ; Kidney diseases ; Length of Stay ; Male ; Medical care, Cost of ; Medicine ; Medicine &amp; Public Health ; Middle Aged ; Monoclonal antibodies ; Multivariate Analysis ; Original ; Original Research Article ; Outcome Assessment, Health Care ; Patients ; Pediatrics ; Pharmacoeconomics and Health Outcomes ; Public Health ; Quality of Life Research ; Renal Dialysis - economics ; Retrospective Studies ; Studies ; Time-to-Treatment - economics ; Toxins</subject><ispartof>PharmacoEconomics, 2020-03, Vol.38 (3), p.307-313</ispartof><rights>The Author(s) 2019</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Copyright Springer Nature B.V. Mar 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-eec9786919ccc80ea0904e8467dcb65100d5c020db9db05c5083299c9efb87e73</citedby><cites>FETCH-LOGICAL-c541t-eec9786919ccc80ea0904e8467dcb65100d5c020db9db05c5083299c9efb87e73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40273-019-00862-w$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40273-019-00862-w$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31828738$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ryan, Michael</creatorcontrib><creatorcontrib>Donato, Bonnie M. K.</creatorcontrib><creatorcontrib>Irish, William</creatorcontrib><creatorcontrib>Gasteyger, Christoph</creatorcontrib><creatorcontrib>L’Italien, Gilbert</creatorcontrib><creatorcontrib>Laurence, Jeffrey</creatorcontrib><title>Economic Impact of Early-in-Hospital Diagnosis and Initiation of Eculizumab in Atypical Haemolytic Uraemic Syndrome</title><title>PharmacoEconomics</title><addtitle>PharmacoEconomics</addtitle><addtitle>Pharmacoeconomics</addtitle><description>Background Atypical haemolytic uraemic syndrome (aHUS) is a rare, potentially life-threatening condition caused by dysregulation of the complement pathway. Eculizumab is currently the only approved treatment for this disorder. Objective Our objective was to investigate the impact of early administration of eculizumab on inpatient resource use and hospitalisation costs in 222 patients with aHUS. Methods We conducted a retrospective analysis of the Premier Perspective ® Hospital Database, including patients with a diagnosis of aHUS and evidence of eculizumab use for aHUS. Early initiation was defined as having received eculizumab within 7 days of admission, with late initiation defined as starting eculizumab on day 8 or later. This date represents the average time required to obtain a specific diagnostic test to discriminate aHUS from a similar haemolytic syndrome that requires a different treatment. Outcome measures were time from first eculizumab initiation to discharge, discharge status or death, days spent in the intensive care unit (ICU), readmission indicators, dialysis indicators, and total hospital costs. Time from first eculizumab initiation to discharge was analysed using a generalised linear model with a log link and an assumed underlying negative binomial distribution. Logistic regression models were used to test the statistical significance of early versus late initiation as a predictor of the occurrence of readmissions, dialysis, and death. Total hospital costs were analysed using a generalised linear model with a log link and an assumed underlying gamma distribution. Results Before modelling, total length of stay and ICU duration were significantly longer for late initiators than for early initiators, and significantly more late initiators were readmitted within 90 days. Late initiation was associated with significantly higher hospital costs than early initiation. After multivariable analysis, late initiators were 3.2 times more likely to require dialysis. However, there was no significant association between early initiation and time to discharge, readmission, or death for any definition or early initiation after multivariable analysis. Estimated total hospital costs (year 2017 values) were $US103,557 in late initiators and $US85,776 in early initiators ( p  = 0.0024). Conclusion Initiation of eculizumab within 7 days of hospitalisation is associated with lower dialysis rates, less time in ICU, less plasmapheresis, and lower hospitalisation costs compared with late initiation.</description><subject>Adult</subject><subject>Analysis</subject><subject>Antibodies, Monoclonal, Humanized - administration &amp; dosage</subject><subject>Antibodies, Monoclonal, Humanized - economics</subject><subject>Antibodies, Monoclonal, Humanized - therapeutic use</subject><subject>Apheresis</subject><subject>Atypical Hemolytic Uremic Syndrome - diagnosis</subject><subject>Atypical Hemolytic Uremic Syndrome - drug therapy</subject><subject>Atypical Hemolytic Uremic Syndrome - economics</subject><subject>Binomial distribution</subject><subject>Complement Inactivating Agents - administration &amp; dosage</subject><subject>Complement Inactivating Agents - economics</subject><subject>Complement Inactivating Agents - therapeutic use</subject><subject>Cost-Benefit Analysis</subject><subject>Databases, Factual</subject><subject>Diagnosis</subject><subject>Drug therapy</subject><subject>Early Diagnosis</subject><subject>Economic aspects</subject><subject>Economic impact</subject><subject>Female</subject><subject>Health Administration</subject><subject>Health Economics</subject><subject>Hemodialysis</subject><subject>Hemolytic-uremic syndrome</subject><subject>Hospital costs</subject><subject>Hospital patients</subject><subject>Hospitalization</subject><subject>Hospitalization - economics</subject><subject>Humans</subject><subject>Intensive care</subject><subject>Kidney diseases</subject><subject>Length of Stay</subject><subject>Male</subject><subject>Medical care, Cost of</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Middle Aged</subject><subject>Monoclonal antibodies</subject><subject>Multivariate Analysis</subject><subject>Original</subject><subject>Original Research Article</subject><subject>Outcome Assessment, Health Care</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Pharmacoeconomics and Health Outcomes</subject><subject>Public Health</subject><subject>Quality of Life Research</subject><subject>Renal Dialysis - economics</subject><subject>Retrospective Studies</subject><subject>Studies</subject><subject>Time-to-Treatment - economics</subject><subject>Toxins</subject><issn>1170-7690</issn><issn>1179-2027</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kk9v1DAQxSMEoqXwBTigSFy4uIyd-N8FaVUWdqVKHKBny3GcxVViBztpFT493t3SUoSQD2N5fu9ZM3pF8RrDOQbg71MNhFcIsEQAghF0-6Q4xZhLRHLj6eEOiDMJJ8WLlK4BgFWcPC9OKiyI4JU4LdLaBB8GZ8rtMGozlaEr1zr2C3IebUIa3aT78qPTOx-SS6X2bbn1bnJ6csEfaDP37uc86KZ0vlxNy-hMlmy0HUK_TNn5KuZ7rl8X38Yw2JfFs073yb66q2fF1af1t4sNuvzyeXuxukSG1nhC1hrJBZNYGmMEWA0SaitqxlvTMJpX0FIDBNpGtg1QQ0FUREojbdcIbnl1Vnw4-o5zM9jWWD9F3asxukHHRQXt1OOOd9_VLtwoDjXlQmSDd3cGMfyYbZrU4JKxfa-9DXNSpCKUSEFZndG3f6HXYY4-j5cpRjDhRLAHaqd7q5zvQv7X7E3ViuOaAaGYZur8H1Q-7X6NwdvO5fdHAnIUmBhSira7nxGD2kdFHaOiclTUISrqNove_Lmde8nvbGSgOgIpt_zOxoeR_mP7C-FJyjI</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Ryan, Michael</creator><creator>Donato, Bonnie M. 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K. ; Irish, William ; Gasteyger, Christoph ; L’Italien, Gilbert ; Laurence, Jeffrey</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-eec9786919ccc80ea0904e8467dcb65100d5c020db9db05c5083299c9efb87e73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Analysis</topic><topic>Antibodies, Monoclonal, Humanized - administration &amp; dosage</topic><topic>Antibodies, Monoclonal, Humanized - economics</topic><topic>Antibodies, Monoclonal, Humanized - therapeutic use</topic><topic>Apheresis</topic><topic>Atypical Hemolytic Uremic Syndrome - diagnosis</topic><topic>Atypical Hemolytic Uremic Syndrome - drug therapy</topic><topic>Atypical Hemolytic Uremic Syndrome - economics</topic><topic>Binomial distribution</topic><topic>Complement Inactivating Agents - administration &amp; dosage</topic><topic>Complement Inactivating Agents - economics</topic><topic>Complement Inactivating Agents - therapeutic use</topic><topic>Cost-Benefit Analysis</topic><topic>Databases, Factual</topic><topic>Diagnosis</topic><topic>Drug therapy</topic><topic>Early Diagnosis</topic><topic>Economic aspects</topic><topic>Economic impact</topic><topic>Female</topic><topic>Health Administration</topic><topic>Health Economics</topic><topic>Hemodialysis</topic><topic>Hemolytic-uremic syndrome</topic><topic>Hospital costs</topic><topic>Hospital patients</topic><topic>Hospitalization</topic><topic>Hospitalization - economics</topic><topic>Humans</topic><topic>Intensive care</topic><topic>Kidney diseases</topic><topic>Length of Stay</topic><topic>Male</topic><topic>Medical care, Cost of</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Middle Aged</topic><topic>Monoclonal antibodies</topic><topic>Multivariate Analysis</topic><topic>Original</topic><topic>Original Research Article</topic><topic>Outcome Assessment, Health Care</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>Pharmacoeconomics and Health Outcomes</topic><topic>Public Health</topic><topic>Quality of Life Research</topic><topic>Renal Dialysis - economics</topic><topic>Retrospective Studies</topic><topic>Studies</topic><topic>Time-to-Treatment - economics</topic><topic>Toxins</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ryan, Michael</creatorcontrib><creatorcontrib>Donato, Bonnie M. K.</creatorcontrib><creatorcontrib>Irish, William</creatorcontrib><creatorcontrib>Gasteyger, Christoph</creatorcontrib><creatorcontrib>L’Italien, Gilbert</creatorcontrib><creatorcontrib>Laurence, Jeffrey</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Global News &amp; ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>PharmacoEconomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ryan, Michael</au><au>Donato, Bonnie M. K.</au><au>Irish, William</au><au>Gasteyger, Christoph</au><au>L’Italien, Gilbert</au><au>Laurence, Jeffrey</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Economic Impact of Early-in-Hospital Diagnosis and Initiation of Eculizumab in Atypical Haemolytic Uraemic Syndrome</atitle><jtitle>PharmacoEconomics</jtitle><stitle>PharmacoEconomics</stitle><addtitle>Pharmacoeconomics</addtitle><date>2020-03-01</date><risdate>2020</risdate><volume>38</volume><issue>3</issue><spage>307</spage><epage>313</epage><pages>307-313</pages><issn>1170-7690</issn><eissn>1179-2027</eissn><abstract>Background Atypical haemolytic uraemic syndrome (aHUS) is a rare, potentially life-threatening condition caused by dysregulation of the complement pathway. Eculizumab is currently the only approved treatment for this disorder. Objective Our objective was to investigate the impact of early administration of eculizumab on inpatient resource use and hospitalisation costs in 222 patients with aHUS. Methods We conducted a retrospective analysis of the Premier Perspective ® Hospital Database, including patients with a diagnosis of aHUS and evidence of eculizumab use for aHUS. Early initiation was defined as having received eculizumab within 7 days of admission, with late initiation defined as starting eculizumab on day 8 or later. This date represents the average time required to obtain a specific diagnostic test to discriminate aHUS from a similar haemolytic syndrome that requires a different treatment. Outcome measures were time from first eculizumab initiation to discharge, discharge status or death, days spent in the intensive care unit (ICU), readmission indicators, dialysis indicators, and total hospital costs. Time from first eculizumab initiation to discharge was analysed using a generalised linear model with a log link and an assumed underlying negative binomial distribution. Logistic regression models were used to test the statistical significance of early versus late initiation as a predictor of the occurrence of readmissions, dialysis, and death. Total hospital costs were analysed using a generalised linear model with a log link and an assumed underlying gamma distribution. Results Before modelling, total length of stay and ICU duration were significantly longer for late initiators than for early initiators, and significantly more late initiators were readmitted within 90 days. Late initiation was associated with significantly higher hospital costs than early initiation. After multivariable analysis, late initiators were 3.2 times more likely to require dialysis. However, there was no significant association between early initiation and time to discharge, readmission, or death for any definition or early initiation after multivariable analysis. Estimated total hospital costs (year 2017 values) were $US103,557 in late initiators and $US85,776 in early initiators ( p  = 0.0024). Conclusion Initiation of eculizumab within 7 days of hospitalisation is associated with lower dialysis rates, less time in ICU, less plasmapheresis, and lower hospitalisation costs compared with late initiation.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>31828738</pmid><doi>10.1007/s40273-019-00862-w</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Analysis
Antibodies, Monoclonal, Humanized - administration & dosage
Antibodies, Monoclonal, Humanized - economics
Antibodies, Monoclonal, Humanized - therapeutic use
Apheresis
Atypical Hemolytic Uremic Syndrome - diagnosis
Atypical Hemolytic Uremic Syndrome - drug therapy
Atypical Hemolytic Uremic Syndrome - economics
Binomial distribution
Complement Inactivating Agents - administration & dosage
Complement Inactivating Agents - economics
Complement Inactivating Agents - therapeutic use
Cost-Benefit Analysis
Databases, Factual
Diagnosis
Drug therapy
Early Diagnosis
Economic aspects
Economic impact
Female
Health Administration
Health Economics
Hemodialysis
Hemolytic-uremic syndrome
Hospital costs
Hospital patients
Hospitalization
Hospitalization - economics
Humans
Intensive care
Kidney diseases
Length of Stay
Male
Medical care, Cost of
Medicine
Medicine & Public Health
Middle Aged
Monoclonal antibodies
Multivariate Analysis
Original
Original Research Article
Outcome Assessment, Health Care
Patients
Pediatrics
Pharmacoeconomics and Health Outcomes
Public Health
Quality of Life Research
Renal Dialysis - economics
Retrospective Studies
Studies
Time-to-Treatment - economics
Toxins
title Economic Impact of Early-in-Hospital Diagnosis and Initiation of Eculizumab in Atypical Haemolytic Uraemic Syndrome
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