Role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the Italian MASTER cohort.

Maria Concetta Postorino, Mattia Prosperi, Emanuele Focà, Eugenia Quiros-Roldan, Elisa Di Filippo, Franco Maggiolo, Alberto Borghetti, Nicoletta Ladisa, Massimo Di Pietro, Andrea Gori, Laura Sighinolfi, Angelo Pan, Nicola Mazzini, Carlo Torti
Author Information
  1. Maria Concetta Postorino: Infectious and Tropical Diseases Unit, Department of Medical and Surgical Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy.
  2. Mattia Prosperi: Department of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, USA.
  3. Emanuele Focà: University Department of Infectious and Tropical Diseases, University of Brescia and Spedali Civili General Hospital, Brescia, Italy.
  4. Eugenia Quiros-Roldan: University Department of Infectious and Tropical Diseases, University of Brescia and Spedali Civili General Hospital, Brescia, Italy.
  5. Elisa Di Filippo: Clinic of Infectious Diseases of "Papa Giovanni XXIII" Hospital of Bergamo, Bergamo, Italy.
  6. Franco Maggiolo: Clinic of Infectious Diseases of "Papa Giovanni XXIII" Hospital of Bergamo, Bergamo, Italy.
  7. Alberto Borghetti: Institute of Clinical Infectious Diseases of Catholic University of Sacred Heart, Rome, Italy.
  8. Nicoletta Ladisa: Clinic of Infectious Diseases, University of Bari, Bari, Italy.
  9. Massimo Di Pietro: Clinic of Infectious Diseases of "Azienda Ospedaliera S.M. Annunziata", Florence, Italy.
  10. Andrea Gori: Clinic of Infectious Diseases, San Gerardo de' Tintori Hospital, Monza, Italy.
  11. Laura Sighinolfi: Clinic of Infectious Diseases of "Azienda Ospedaliera S. Anna" of Ferrara, Ferrara, Italy.
  12. Angelo Pan: Clinic of Infectious Diseases of "Istituti Ospitalieri" of Cremona, Cremona, Italy.
  13. Nicola Mazzini: MISI Foundation, Brescia, Italy.
  14. Carlo Torti: Infectious and Tropical Diseases Unit, Department of Medical and Surgical Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy. torti@unicz.it.

Abstract

BACKGROUND: Atazanavir (ATV) not boosted by ritonavir (uATV) has been frequently used in the past for switching combination antiretroviral therapy (cART). However, the clinical outcomes and predictors of such strategy are unknown.
METHODS: An observational study was carried out on the Italian MASTER, selecting HIV infected patients on cART switching to an uATV-containing regimen. Baseline was set as the last visit before uATV initiation. In the primary analysis, a composite clinical end-point was defined as the first occurring of any condition among: liver, cardiovascular, kidney, diabetes, non AIDS related cancer or death events. Incidence of AIDS events and incidence of composite clinical end-point were estimated. Kaplan-Meier and multivariable Cox regression analysis were used to assess predictors of the composite clinical end-point.
RESULTS: 436 patients were observed. The majority of patients were males (61.5%) and Italians (85.3%), mean age was 42.7 years (IQR: 37.7-42), the most frequent route of transmission was heterosexual intercourse (47%), followed by injection drug use (25%) and homosexual contact (24%); the rate of HCV-Ab positivity was 16.3%. Patients were observed for a median time of 882 days (IQR: 252-1,769) under uATV. We recorded 93 clinical events (3 cardiovascular events, 20 kidney diseases, 33 liver diseases, 9 non AIDS related cancers, 21 diabetes, 7 AIDS events), and 19 deaths, accounting for an incidence of 3.7 (composite) events per 100 PYFU. At multivariable analysis, factors associated with the composite clinical end-point were intravenous drug use as risk factor for HIV acquisition vs. heterosexual intercourses [HR: 2.608, 95% CI 1.31-5.19, p = 0.0063], HIV RNA per Log copies/ml higher [HR: 1.612, 95% CI 1.278-2.034, p < 0.0001], number of switches in the nucleoside/nucleotide (NRTI) backbone of cART (performed to compose the uATV regimen under study or occurred in the past) per each more [HR: 1.085, 95% CI 1.025-1.15, p = 0.0051], Fib-4 score per unit higher [HR: 1.03, 95% CI 1.018-1.043, p < 0.0001] and Neutrophil/lymphocytes ratio (NLR inflammation score) per Log higher [HR: 1.319, 95% CI 1.047-1.662, p = 0.0188].
CONCLUSIONS: Intravenous drug users with high HIV RNA, high Fib-4 levels and more heavily exposed to antiretroviral drugs appeared to be more at risk of clinical events. Interestingly, high levels of inflammation measured through NLR, were also associated with clinical events. So, these patients should be monitored more strictly.

Keywords

References

  1. Medicine (Baltimore). 2016 Jul;95(29):e4091 [PMID: 27442636]
  2. AIDS Patient Care STDS. 2002 Dec;16(12):585-97 [PMID: 12542932]
  3. Int J Epidemiol. 2015 Oct 7;:null [PMID: 26445966]
  4. Hepatogastroenterology. 2008 Jul-Aug;55(85):1433-8 [PMID: 18795706]
  5. HIV Med. 2010 Jan;11(1):40-5 [PMID: 19686438]
  6. Clin Infect Dis. 2011 May;52(9):1164-73 [PMID: 21467023]
  7. J Acquir Immune Defic Syndr. 2010 Oct;55(2):262-70 [PMID: 20700060]
  8. Mini Rev Med Chem. 2002 Apr;2(2):163-75 [PMID: 12370077]
  9. J Pharm Pharm Sci. 2013;16(3):405-13 [PMID: 24021289]
  10. Rev Assoc Med Bras (1992). 2013 Mar-Apr;59(2):186-98 [PMID: 23582562]
  11. J Am Heart Assoc. 2014 May 28;3(3):e000844 [PMID: 24870935]
  12. AIDS Care. 2016 Dec;28(12 ):1551-1558 [PMID: 27321070]
  13. J Acquir Immune Defic Syndr. 2015 Aug 15;69(5):585-92 [PMID: 26167619]
  14. Scand J Infect Dis. 2013 Feb;45(2):147-54 [PMID: 22991923]
  15. Ann Intern Med. 2009 May 5;150(9):604-12 [PMID: 19414839]
  16. J Antimicrob Chemother. 2015;70(6):1843-9 [PMID: 25885326]
  17. Hepatology. 2006 Jun;43(6):1317-25 [PMID: 16729309]
  18. Drugs. 2012 Jun 18;72(9):1161-73 [PMID: 22646049]
  19. Infection. 2009 Jun;37(3):244-9 [PMID: 19471856]
  20. Clin Infect Dis. 2004 Jun 1;38(11):1599-604 [PMID: 15156449]
  21. J Antimicrob Chemother. 2012 Sep;67(9):2236-42 [PMID: 22661571]
  22. Clin Microbiol Infect. 2015 Apr;21(4):386.e1-9 [PMID: 25595708]
  23. J Transl Med. 2015 Mar 14;13:89 [PMID: 25886534]
  24. Open Forum Infect Dis. 2015 Jul 08;2(3):ofv108 [PMID: 26284258]
  25. J Antimicrob Chemother. 2013 Jun;68(6):1364-72 [PMID: 23372058]
  26. Infect Agent Cancer. 2015 Oct 05;10:34 [PMID: 26442127]
  27. Open AIDS J. 2016 Jul 15;10:136-43 [PMID: 27563366]
  28. Eur J Gastroenterol Hepatol. 2013 Apr;25(4):435-41 [PMID: 23249602]
  29. J Antimicrob Chemother. 2011 Oct;66(10):2372-8 [PMID: 21821627]
  30. HIV Clin Trials. 2012 Jul-Aug;13(4):189-211 [PMID: 22849961]
  31. J Acquir Immune Defic Syndr. 2014 Feb 1;65(2):167-74 [PMID: 24121755]
  32. Curr Infect Dis Rep. 2004 Apr;6(2):159-162 [PMID: 15023279]
  33. Atherosclerosis. 2016 Mar;246:301-8 [PMID: 26826629]
  34. Pharmacotherapy. 2008 Mar;28(3):323-30 [PMID: 18294112]
  35. HIV Med. 2008 Mar;9(3):172-9 [PMID: 18217998]
  36. AIDS Res Hum Retroviruses. 2013 Feb;29(2):350-8 [PMID: 23039030]
  37. PLoS One. 2016 May 05;11(5):e0154900 [PMID: 27148878]
  38. Expert Opin Investig Drugs. 2002 Sep;11(9):1295-301 [PMID: 12225250]

MeSH Term

Adult
Anti-HIV Agents
Atazanavir Sulfate
CD4 Lymphocyte Count
Cardiovascular Diseases
Disease Progression
Female
HIV Infections
Humans
Incidence
Inflammation
Italy
Kaplan-Meier Estimate
Kidney Diseases
Liver Diseases
Longitudinal Studies
Male
Middle Aged
Risk Factors
Treatment Outcome

Chemicals

Anti-HIV Agents
Atazanavir Sulfate

Word Cloud

Created with Highcharts 10.0.0clinicalevents1HIVpatientscompositeper[HR:95%CIuATVend-pointAIDSinflammationcARTanalysis7drugp = 0higherhighAtazanavirboostedritonavirusedpastswitchingantiretroviraloutcomespredictorsstudyItalianMASTERregimenlivercardiovascularkidneydiabetesnonrelatedincidencemultivariableobserved3%IQR:heterosexualuse3diseases19associatedriskRNALogp < 00001]Fib-4scoreNLRlevelsscoresBACKGROUND:ATVfrequentlycombinationtherapyHoweverstrategyunknownMETHODS:observationalcarriedselectinginfecteduATV-containingBaselinesetlastvisitinitiationprimarydefinedfirstoccurringconditionamong:cancerdeathIncidenceestimatedKaplan-MeierCoxregressionassessRESULTS:436majoritymales615%Italians85meanage42years377-42frequentroutetransmissionintercourse47%followedinjection25%homosexualcontact24%rateHCV-Abpositivity16Patientsmediantime882days252-1769recorded9320339cancers21deathsaccounting100PYFUfactorsintravenousfactoracquisitionvsintercourses260831-50063]copies/ml612278-2034numberswitchesnucleoside/nucleotideNRTIbackboneperformedcomposeoccurred085025-1150051]unit03018-1043Neutrophil/lymphocytesratio319047-16620188]CONCLUSIONS:IntravenoususersheavilyexposeddrugsappearedInterestinglymeasuredalsomonitoredstrictlyRolesystemicpredictiontreatedatazanavircohortClinicalRitonavirSystemic

Similar Articles

Cited By