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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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 |
format | Article |
fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7045788</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A714602515</galeid><sourcerecordid>A714602515</sourcerecordid><originalsourceid>FETCH-LOGICAL-c541t-eec9786919ccc80ea0904e8467dcb65100d5c020db9db05c5083299c9efb87e73</originalsourceid><addsrcrecordid>eNp9kk9v1DAQxSMEoqXwBTigSFy4uIyd-N8FaVUWdqVKHKBny3GcxVViBztpFT493t3SUoSQD2N5fu9ZM3pF8RrDOQbg71MNhFcIsEQAghF0-6Q4xZhLRHLj6eEOiDMJJ8WLlK4BgFWcPC9OKiyI4JU4LdLaBB8GZ8rtMGozlaEr1zr2C3IebUIa3aT78qPTOx-SS6X2bbn1bnJ6csEfaDP37uc86KZ0vlxNy-hMlmy0HUK_TNn5KuZ7rl8X38Yw2JfFs073yb66q2fF1af1t4sNuvzyeXuxukSG1nhC1hrJBZNYGmMEWA0SaitqxlvTMJpX0FIDBNpGtg1QQ0FUREojbdcIbnl1Vnw4-o5zM9jWWD9F3asxukHHRQXt1OOOd9_VLtwoDjXlQmSDd3cGMfyYbZrU4JKxfa-9DXNSpCKUSEFZndG3f6HXYY4-j5cpRjDhRLAHaqd7q5zvQv7X7E3ViuOaAaGYZur8H1Q-7X6NwdvO5fdHAnIUmBhSira7nxGD2kdFHaOiclTUISrqNove_Lmde8nvbGSgOgIpt_zOxoeR_mP7C-FJyjI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2362127286</pqid></control><display><type>article</type><title>Economic Impact of Early-in-Hospital Diagnosis and Initiation of Eculizumab in Atypical Haemolytic Uraemic Syndrome</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Ryan, Michael ; Donato, Bonnie M. 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 & 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</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 & 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 & 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 & 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. K.</creator><creator>Irish, William</creator><creator>Gasteyger, Christoph</creator><creator>L’Italien, Gilbert</creator><creator>Laurence, Jeffrey</creator><general>Springer International Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>4T-</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88E</scope><scope>88G</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2M</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200301</creationdate><title>Economic Impact of Early-in-Hospital Diagnosis and Initiation of Eculizumab in Atypical Haemolytic Uraemic Syndrome</title><author>Ryan, Michael ; Donato, Bonnie M. 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 & 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 & 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 & 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 & 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 & 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 & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Health & 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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