Survival after neuroAIDS - CHU de Clermont
Transcription
Survival after neuroAIDS - CHU de Clermont
balt4/znl-neurol/znl-neurol/znl00711/znl8509-11z xppws Sⴝ1 12/24/10 10:31 Art: WNL202244 Input-mm Survival after neuroAIDS Association with antiretroviral CNS Penetration-Effectiveness score See E. Lanoy, PhD M. Guiguet, PhD M. Bentata, MD E. Rouveix, MD C. Dhiver, MD I. Poizot-Martin, MD D. Costagliola, PhD J. Gasnault, MD On behalf of the FHDH-ANRS CO4 Address correspondence and reprint requests to Dr. Emilie Lanoy, INSERM U943, 56 Bd V. Auriol, BP 335, 75 625 Paris Cedex 13, France [email protected] ABSTRACT Objective: We examined if the CNS Penetration-Effectiveness (CPE) score of antiretroviral drugs was associated with survival after a diagnosis of HIV-related encephalopathy, progressive multifocal leukoencephalopathy (PML), cerebral toxoplasmosis, or cryptococcal meningitis. Methods: Using data from the FHDH-ANRS CO4, we compared the survival of 9,932 HIVinfected patients diagnosed with a first neurologic AIDS-defining event in the pre–combination antiretroviral therapy (cART) (1992–1995), early cART (1996–1998), or late cART (1999– 2004) periods. Follow-up was subdivided (CPE ⬍ 1.5 and CPE ⱖ 1.5), and relative rates (RR) of death were estimated using multivariable Poisson regression models. Results: In the pre-cART and early cART periods, regimens with CPE ⱖ 1.5 were associated with lower mortality after HIV-related encephalopathy (RR 0.64; 95% confidence interval [CI] 0.47– 0.86 and RR 0.45; 95% CI 0.35–0.58) and after PML (RR 0.79; 95% CI 0.55–1.12 and RR 0.45; 95% CI 0.31–0.65), compared to regimens with CPE ⬍ 1.5, while in the late cART period there was no association between the CPE score and the mortality. A higher CPE score was also associated with a lower mortality in all periods after cerebral toxoplasmosis (RR 0.68, 95% CI 0.56–0.84) or cryptococcal meningitis (RR 0.50, 95% CI 0.34–0.74). Whatever the neurologic event, these associations were not maintained after adjustment on updated plasma HIV-RNA (missing, ⬍500, ⱖ500 copies/mL) with RR ranging from 0.82 (95% CI 0.36–1.91) to 1.02 (0.69–1.52). Conclusion: At the beginning of the cART era, the CPE score was of importance for survival after severe neurologic event, while in the late cART period, the additional effect of CPE score vanished with more powerful antiretroviral regimens associated with plasma viral load control. Neurology® 2011;76:1–1 GLOSSARY cART ⫽ combination antiretroviral therapy; CI ⫽ confidence interval; CPE ⫽ CNS Penetration-Effectiveness; ICD ⫽ International Classification of Disease; JCV ⫽ JC virus; PML ⫽ progressive multifocal leukoencephalopathy; RR ⫽ relative rate. Since the introduction of combination antiretroviral therapy (cART), the incidence of neurologic AIDS-defining events (HIV-related encephalopathy, progressive multifocal leukoencephalopathy [PML], cerebral toxoplasmosis, and cryptococcal meningitis) has fallen.1-3 However, these disorders remain frequent in patients with advanced stage HIV infection4 and account for a large proportion of AIDS diagnoses.5,6 Moreover, while survival after neurologic AIDSdefining events has improved in the cART era, it is shorter than after other AIDS-defining events, especially among patients who develop PML.7,8 HIV RNA can remain detectable in CSF even when it is rendered undetectable in plasma by cART.9,10 Pharmacodynamic models and in vivo evidence show that antiretroviral drugs have different degrees of effectiveness on HIV replication in the CNS.11,12 An antiretroviral CNS Supplemental data at www.neurology.org e-Pub ahead of print at www.neurology.org. From INSERM (E.L., M.G., D.C.), U943, Paris; UPMC Univ Paris 06 (E.L., M.G., D.C.), UMR S943, Paris; Service de Médecine Interne (M.B.), Hôpital Avicenne, Bobigny; Service de Médecine Interne 2 (E.R.), Hôpital Ambroise-Paré, Boulogne; Service de Maladies Infectieuses (C.D.), Hôpital Conception, Marseille; Service d’Immuno-Hématologie Clinique (I.P.-M.), Centre d’Informations et de Soins de l’Immunodéficience Humaine et des Hépatites Virales, Hôpital Sainte-Marguerite, Marseille; AP-HP (D.C.), Groupe Hospitalier Pitié-Salpêtrière, Service de Maladies Infectieuses et Tropicales, Paris; and Service de Médecine Interne (J.G.), Hôpital Bicêtre, le Kremlin-Bicêtre, France. Disclosure: Author disclosures are provided at the end of the article. Copyright © 2011 by AAN Enterprises, Inc. <zdoi;10.1212/WNL.0b013e31820c3089> • <zjs;> • <zjss;17,52,54,144> 1 balt4/znl-neurol/znl-neurol/znl00711/znl8509-11z xppws Sⴝ1 12/24/10 10:31 Art: WNL202244 Input-mm Penetration-Effectiveness (CPE) score has been proposed and higher CPE scores are associated with lower CSF viral load.13 In a recent study, CPE score was not associated with suppression of plasma HIV RNA and a higher CPE score was associated with lower neurocognitive performance.14 Correlation of CPE score with clinical progression remained to be evaluated. Here we examined if CPE score was associated with patient survival after a diagnosis of HIV-related encephalopathy or a diagnosis of severe neurologic complication. We first studied the association of CPE score with survival according to the calendar period of diagnosis, pre-cART (1992–1995), early cART (1996 – 1998), or late cART (1999 –2004). Then the respective influence of CPE score and undetectable plasma HIV-RNA were analyzed for patients diagnosed after 1997. each antiretroviral drug based on the impact of treatment on CSF viral load, as reported by Letendre et al.13,16 A score of 0 was assigned to didanosine, tenofovir, zalcitabine, amprenavir, nelfinavir, ritonavir, saquinavir, saquinavir/ritonavir, tipranavir/ritonavir, and enfuvirtide, a score 0.5 to lamivudine, stavudine, efavirenz, amprenavir/ritonavir, fosamprenavir/ ritonavir, atazanavir, and atazanavir/ritonavir, and a score of 1 to abacavir, emtricitabine, zidovudine, delavirdine, nevirapine, indinavir, indinavir/ritonavir, and lopinavir/ritonavir. For each antiretroviral regimen, the individual CNS penetration scores were summed to yield a CPE score. A CPE score of 1.5 was used as the cutoff for good CNS penetration as lower CPE ranks were associated with an increased probability of detectable CSF viral load.13 For each patient, the first 12 months of follow-up after diagnosis of the neurologic AIDS-defining event were subdivided into periods according to CPE score of antiretroviral therapy. Three categories were distinguished: no antiretroviral treatment, treatment with CPE ⬍ 1.5, and treatment with CPE ⱖ 1.5. Patients could participate in more than one of these periods during their follow-up but, in an intent-to-continue-treatment conservative approach, only changes toward a higher category were taken into account. This approach was chosen to limit overestimation bias in assessing the CPE score effect. Time was expressed in months, and a time lag of 1 month was added after cART initiation or intensification. METHODS Patients. The FHDH-ANRS CO4 database is described in detail elsewhere.15 Briefly, FHDH is a clinical epidemiologic network implemented since 1992 in 62 French teaching hospitals belonging to 29 HIV Treatment and Information Centers (CISIH) located in both mainland France and French overseas territories. Patients are eligible if they have documented HIV-1 or HIV-2 infection. Data are recorded prospectively by trained research assistants. In the database used for the analysis, the follow-up was up to June 2006. The standardized FHDHANRS CO4 data collection form includes baseline characteristics, standard biological markers such as the CD4⫹ cell count and plasma HIV RNA level, clinical manifestations, treatments, clinical trials in which the patients are enrolled, deaths, and causes of death, as reported in the medical records. By mid-2006, more than 107,000 HIV-infected subjects who had attended at least one follow-up visit between 1992 and June 2006 were included in the database, with a mean follow-up of 64 months. Patients who had a first neurologic AIDS-defining event between 1992 and 2004 were included in this analysis. Statistical analysis. Survival after each neurologic AIDS- Standard protocol approvals, registrations, and patient consents. Patients give their written informed consent to participate to the FHDH-ANRS CO4 database. The database has been approved by the French computer watchdog commission (CNIL) according to the French legislation at the time. Definition of neurologic AIDS-defining events. In the FHDH, clinical events were recorded with the International Classification of Disease version 9 (ICD-9) until the end of 1996, and with version 10 (ICD-10) thereafter. The following 4 neurologic AIDS-defining events were studied (ICD-9/ICD-10 codes in parentheses): HIV-related encephalopathy (3239/ G051-B220, F024-B220, B220), progressive multifocal leukoencephalopathy (PML, 0463, 3316, 0463-3316/A812), cerebral toxoplasmosis (3234-130/G052-B582), and cryptococcal meningitis (3210-1175/B451). Scoring system for CNS penetration effectiveness. A CNS penetration score of 0 (low) to 1 (high) was assigned to 2 Neurology 76 February 15, 2011 defining event was evaluated by using Kaplan-Meier estimates in the 3 calendar periods (1992–1995, 1996 –1998, 1999 –2004). Patients were followed up from the diagnosis of a neurologic AIDS-defining event until death, end of follow-up, or 1 year after the diagnosis, whichever occurred first. Only the first 12 months after diagnosis of the neurologic event were considered in order to limit competing causes of death. Every patient’s follow-up was divided into consecutive 1-month periods, and time-varying covariables were updated at the beginning of every month. A Poisson regression modeling was used to quantify the effect of the CPE score of treatment on mortality rates within the first 12 months after diagnosis of the neurologic event among patients receiving antiretroviral therapy. Only patients receiving antiretroviral therapy were selected in order to avoid potential indication bias in assessing the effect of CPE score on survival. Association between mortality and variables measured at neurologic event diagnosis, namely age (⬍30, 30 – 40, 40 –50, 50 – 60, and ⬎60 years), AIDS status, migration for sub-Saharan Africa, gender, and the HIV exposure group (men who have sex with men, other men, and women), were investigated using a backward procedure, retaining variables with a p value ⬍0.05. For each neurologic event, only the variables significantly associated with the mortality rate were retained in the Poisson regression model. A first multivariable model was fitted on the 3 calendar periods (1992–1995, 1996 –1998, 1999 –2004), and the CPE score effect was estimated after adjustment for updated CD4 cell count per mm3 (missing, ⬍100, 100 –199, 200 –349, ⱖ350) in addition to the previously retained variables. In order to detect some effect modification according to the calendar period, the interactions between CPE score and periods were systematically assessed. When interaction term was nonsignificant, the relative rate (RR) of mortality associated with CPE score above 1.5 compared to treatment with CPE score ⬍ 1.5 was estimated over all the studied period. When interaction term was significant ( p ⬍ 0.05), RR was estimated within each calendar period. Restricting to patients diagnosed since 1997, when viral load measurement balt4/znl-neurol/znl-neurol/znl00711/znl8509-11z xppws Sⴝ1 12/24/10 10:31 Art: WNL202244 Input-mm Table 1 Baseline and follow-up characteristics HIV-related encephalopathy Cerebral toxoplasmosis PML Cryptococcal meningitis No. % No. % No. % No. % 3,127 100.0 1,427 100.0 4,358 100.0 1,020 100.0 357 11.4 124 8.7 748 17.2 165 16.2 30–40 1,419 45.4 758 53.1 2,118 48.6 507 49.7 40–50 784 25.1 369 25.9 998 22.8 240 23.5 50–60 351 11.2 126 8.8 356 8.2 85 8.3 >60 216 6.9 50 3.5 138 3.2 23 2.3 MSM 1,136 36.3 504 35.3 1,440 33.0 407 39.9 Non-MSM men 1,365 43.7 673 47.2 1,800 41.3 445 43.6 626 20.0 250 17.5 1,118 25.7 168 16.5 3,026 96.8 1,383 96.9 4,082 93.7 925 90.7 101 3.2 44 3.1 276 6.3 95 9.3 No 1,144 36.6 650 45.6 2,489 57.1 564 55.3 Yes 1,983 63.4 777 54.4 1,869 42.9 456 44.7 130 4.2 60 4.2 278 6.4 66 6.5 All diagnoses Age at diagnosis, y <30 Sex and exposure group Women Migration from sub-Saharan Africa No Yes History of AIDS before diagnosis CD4 nadir at diagnosis Missing values 2,537 81.1 1,086 76.1 3,539 81.2 869 85.1 100–200 271 8.7 207 14.5 375 8.6 61 6.0 200–350 137 4.3 63 4.4 120 2.8 14 1.4 52 1.7 11 0.8 46 1.0 10 1.0 1992–1995 1,789 57.2 712 49.9 2,421 55.6 545 53.4 1996–1998 746 23.9 345 24.1 875 20.1 237 23.2 1999–2004 592 18.9 370 26.0 1,062 24.3 238 23.4 <100 >350 Period of diagnosis Abbreviations: MSM ⫽ men who have sex with men; PML ⫽ progressive multifocal leukoencephalopathy. T2 T3 T1 T4 became routinely available, a second model was fitted adjusting for updated CD4 cell count and updated plasma HIV-RNA in copies/mL (missing, ⬍500, ⱖ500). Sensitivity analyses were performed using a different cutoff for CPE score with the following 2 categories: treatment with CPE ⬍ 2.0, and treatment with CPE ⱖ 2.0. All analyses were done with the SAS software package version 9 (SAS Institute, Cary, NC). RESULTS Between 1992 and 2004, 3,127 patients were diagnosed with HIV-related encephalopathy, 1,427 patients with PML, 4,358 patients with cerebral toxoplasmosis, and 1,020 patients with cryptococcal meningitis (table 1). Over 50% of these diagnoses were made during the pre-cART period (1992–1995). At diagnosis, fewer than 5% of patients were receiving antiretroviral therapy with high CPE score in the pre-cART era, while in 1999 – 2004, over 80% of patients diagnosed with HIVrelated encephalopathy, or PML, and over 60% of patients diagnosed with cerebral toxoplasmosis, or cryptococcal meningitis, were receiving regimens with CPE score ⱖ1.5 (table 2). After diagnosis, nearly all patients received antiretroviral therapy either with CPE score ⬍1.5 or with CPE score ⱖ1.5 (table 3, table e-1 on the Neurology® Web site at www.neurology.org). Within 12 months of diagnosis, 1,769 deaths occurred in patients diagnosed with HIV-related encephalopathy, 807 in patients diagnosed with PML, 1,681 in patients diagnosed with cerebral toxoplasmosis, and 342 in patients diagnosed with cryptococcal meningitis (table 4). Overall, 12.5% of patients were censored and the mean (SD) duration of follow-up in patients who did not die was 10.8 (2.9) months. Survival after diagnosis of each of the 4 neurologic AIDS-defining events improved after 1996 compared to the pre-cART period. Neurology 76 February 15, 2011 3 balt4/znl-neurol/znl-neurol/znl00711/znl8509-11z xppws Sⴝ1 12/24/10 10:31 Art: WNL202244 Input-mm Table 2 CPE score of antiretroviral regimen at diagnosis of neurologic AIDS-defining events HIV-related encephalopathy Progressive multifocal leukoencephalopathy Cerebral toxoplasmosis Cryptococcal meningitis Period of diagnosis No. (%) Untreated, n (%) CPE score <1.5, n (%) 1992–1995 1789 (100) 355 (20) 1371 (77) 1996–1998 746 (100) 83 (11) 281 (38) 382 (51) 1999–2004 592 (100) 61 (10) 52 (9) 479 (81) 1992–1995 712 (100) 155 (22) 521 (73) 36 (5) 1996–1998 345 (100) 37 (11) 115 (33) 193 (56) 29 (8) 310 (84) 1999–2004 370 (100) 1992–1995 2,421 (100) 31 (8) 869 (36) 1,500 (62) CPE score >1.5, n (%) 63 (3) 52 (2) 1996–1998 875 (100) 268 (31) 307 (35) 300 (34) 1999–2004 1,062 (100) 311 (29) 111 (11) 640 (60) 1992–1995 545 (100) 156 (29) 358 (66) 31 (5) 1996–1998 237 (100) 54 (23) 89 (37) 94 (40) 1999–2004 238 (100) 49 (20) 30 (13) 159 (67) Abbreviation: CPE ⫽ CNS Penetration-Effectiveness. After a diagnosis of HIV encephalopathy, the 1-year survival rate increased from 25% in 1992–1995, and 55% in 1996 –1998, to 65% in 1999 –2004. For cerebral toxoplasmosis, the survival rates in the 3 periods were 40% in 1992–1995, 73% in 1996 –1998, and 82% in 1999 –2004. A gradual improvement of survival was also observed for cryptococcal meningitis. Conversely, the 1-year survival after a diagnosis of PML increased from 20% in 1992–1995 to 56% in 1996 –1998 but remained unchanged after. When the relationship between the CPE score and survival of treated patients was investigated, there were interactions between CPE score and calendar periods for HIV encephalopathy ( p ⫽ 0.02), and PML ( p ⫽ 0.02), indicating that the association between the CPE score and survival varied according to the time period. In a first analysis adjusting for baseline characteristics and current CD4 cell count, a higher CPE score was associated with a better sur- T5 Table 3 Number of patient-years (%) of time of follow-up spent in the different categories of treatment after diagnosis of a neurologic AIDS-defining event vival after a diagnosis of HIV-related encephalopathy, or PML, associated with a higher CPE score, was observed only during the pre-cART era and the early cART era period, while the risk of mortality was not associated with the CPE score in the most recent period (1999 –2004) (table 5, model 1). In a second model restricted to patients diagnosed since 1997, no evidence remained of this association after adjustment on undetectability of plasma HIV RNA (table 5, model 2). Controlling for CD4 cell count, a better survival after a diagnosis of cerebral toxoplasmosis and cryptococcal meningitis was observed under antiretroviral therapy with CPE score ⱖ1.5, compared to a regimen with CPE score ⬍1.5, and the association was of similar magnitude over the 3 calendar periods (interaction terms: p ⫽ 0.28 in model for cerebral toxoplasmosis and p ⫽ 0.63 in model for cryptococcal meningitis) (table 5, model 1). The association of survival with higher CPE score vanished after adjustment on plasma HIV RNA (table 5, model 2). For all the 4 diagnoses, results of model 1 and model 2 were similar when the cutoff for the CPE score was fixed at 2 instead of 1.5. Patient-years of follow-up (%) Total HIV-related encephalopathy Progressive multifocal leukoencephalopathy Cerebral toxoplasmosis Cryptococcal meningitis Untreated Under antiretroviral treatment with CPE score <1.5 1,459 (100) 79 (5) 669 (46) 711 (49) 615 (100) 38 (6) 234 (38) 343 (56) 2,861 (100) 425 (15) 1,314 (46) 1,122 (39) 707 (100) 72 (10) 315 (45) 320 (45) Abbreviation: CPE ⫽ CNS Penetration-Effectiveness. 4 Under antiretroviral treatment with CPE score >1.5 Neurology 76 February 15, 2011 In this study of almost 10,000 patients participating in a large prospective hospital cohort, we showed that survival after diagnosis of HIV-related encephalopathy, PML, cerebral toxoplasmosis, or cryptococcal meningitis improved markedly with the advent of cART and continued to improve gradually in the cART era, except among patients who developed PML. When antiretroviral therapy regimens were categorized according to their CNS penetration effectiveness score, the association of CPE score with survival after HIV- DISCUSSION balt4/znl-neurol/znl-neurol/znl00711/znl8509-11z xppws Sⴝ1 12/24/10 10:31 Art: WNL202244 Input-mm Table 4 Kaplan-Meier estimates of 1-year survival after diagnosis of neurologic AIDS-defining events HIV-related encephalopathy Progressive multifocal leukoencephalopathy Cerebral toxoplasmosis Period No. Deaths 12-month survival, % (95% CI) 1992–1995 1,789 1,278 23 (21–25) 1996–1998 746 316 55 (51–59) 1999–2004 592 195 65 (61–69) 1992–1995 712 511 20 (17–23) 1996–1998 345 138 56 (50–62) 1999–2004 370 158 52 (47–58) 1992–1995 2,421 1,275 42 (40–44) 1996–1998 875 219 73 (70–76) 1999–2004 1,062 187 82 (79–84) 1992–1995 545 251 50 (46–55) 1996–1998 237 53 76 (71–82) 1999–2004 238 38 83 (78–88) Abbreviation: CI ⫽ confidence interval. related encephalopathy, or PML, was observed only during the pre-cART era and the first cART era period (1996–1998). Regimens with high CPE scores were associated with a longer survival after cerebral toxoplasmosis, or cryptococcal meningitis. However, after accounting for plasma HIV-RNA, there were no associations of survival with CPE score. Strengths of our study include its large size and relatively long follow-up. We included 3 calendar periods in pre- and post-cART eras. The numbers of person-years of follow-up were sufficient for meaningful comparisons of antiretroviral regimens according to their CPE scores by specific neurologic Table 5 endpoints. In order to prevent chance finding in multiple comparisons, we dichotomized CPE score such as above and below the cutoff of 1.5, which has been previously proposed.13 However, a sensitivity analysis classifying CPE ranks of at least 2 as high CPE score lead to similar results. As nearly 10,000 patients with a diagnosis of severe neurologic event are included, this large size prevented us from verifying diagnostic criteria, and we relied on ICD codes which are routinely used in the participating clinical centers. The good reporting of AIDS-defining events in the FHDH cohort is supported by previous analyses with diagnosis validation on very different pathologies such as PML15 or Kaposi sarcoma.17 We did not investigate causes of death, which were less systematically reported, and we focused on mortality in the first year to limit competing events. We cannot exclude some underreporting of deaths among patients who were lost to follow-up in the FHDH-ANRS CO4 cohort. During the 12 months following their first neurologic AIDS-defining events, 12.5% of patients were censored, possibly leading to an overestimation of survival.18 To have adequate power, we did not consider primary cerebral lymphoma, another AIDS-defining neurologic manifestation, which was diagnosed in 318 patients in the pre-cART era, but only 87 patients in 1999 –2004. We could not study the association of antiretroviral penetration on less severe cognitive disorders than HIV encephalopathy, because these are not routinely screened for in HIVinfected patients. Among the other limitations of our study, we ended it in 2005 to prevent exposure to new antiretroviral classes such as fusion inhibitors, integrase inhibitors, and CCR5 entry inhibitors, for Adjusted relative rate of death (95% confidence interval) in treated patients receiving antiretroviral regimen with high CPE score (CPE >1.5) compared to patients receiving regimen with lower CPE score during the period 1992–2004 (model 1) or during the period 1997–2004 when plasma HIV-RNA viral load measurement was routinely available (model 2) 1992–1995b 1996–1998b 1999–2004b Model 2 adjusted on variables at diagnosisa and current CD4 cell count and plasma HIV-RNA, 1997–2004b HIV-related encephalopathy 0.64 (0.47–0.86) 0.45 (0.35–0.58) 1.11 (0.58–2.11) 0.98 (0.65–1.49) Progressive multifocal leukoencephalopathy 0.79 (0.55–1.12) 0.45 (0.31–0.65) 1.30 (0.61–2.39) 0.85 (0.53–1.58) Model 1 adjusted on variables at diagnosisa and current CD4 cell count Period of diagnosis 1992–2004 1997–2004 Cerebral toxoplasmosis 0.68 (0.56–0.84) 1.02 (0.69–1.52) Cryptococcal meningitis 0.50 (0.34–0.74) 0.82 (0.36–1.91) Abbreviation: CPE ⫽ CNS Penetration-Effectiveness. a All multivariate Poisson regressions were adjusted for age, AIDS status before diagnosis, and updated CD4 cell count (missing, ⬍100, 100–199, 200–349, ⱖ350); in addition, model 2 was adjusted on current plasma HIV-RNA (missing, ⬍500, ⱖ500 copies/mL). Models were also adjusted on gender and exposure group (HIV-related encephalopathy, progressive multifocal leukoencephalopathy) and geographic origin (cerebral toxoplasmosis). b Period of diagnosis. Neurology 76 February 15, 2011 5 balt4/znl-neurol/znl-neurol/znl00711/znl8509-11z xppws Sⴝ1 12/24/10 10:31 Art: WNL202244 Input-mm which CNS pharmacodynamic and pharmacokinetic data were not available. However, given the values close to 1.0 of the RRs when accounting for CD4 cell count and plasma HIV-RNA, it is unlikely that including more cases would lead to a significant association of CPE score with survival after HIV-related encephalopathy or cerebral toxoplasmosis; for cryptococcal meningitis and PML, we could not exclude that including additional cases could allow us to detect a small association of survival with CPE score. The 4 neurologic pathologies were all associated with very high mortality rates before cART. While HIV-related encephalopathy is directly linked to HIV infection by itself, the others are opportunistic complications of immunosuppression. Overall, survival after each of the 4 neurologic AIDS-defining events improved between the pre-cART era and the cART era, as previously reported.6,8,19 In addition, survival continued to improve gradually over time after the advent of cART, with the exception of postPML survival. PML was one of the AIDS-defining events with the poorest vital prognosis in the precART era, and showed the smallest improvement in the cART era,8 underlying the complexity of this severe complication.20 The higher incidence of PML in HIV infection than in other immunodeficiencies suggests an interaction between HIV and JC virus (JCV). HIV could facilitate brain entry of JCVinfected B lymphocytes by altering the blood– brain barrier, and HIV Tat protein could promote JCV replication in glial cells, either directly or indirectly by cytokine/chemokine induction by HIV infection.21 The improved prognosis of PML after cARTinduced restoration of immune responses to JCV22,23 led to clinical trials of intensified cART intended to hasten anti-JCV immune recovery.23 In the early cART era, patients treated by cART with high CPE score after a diagnosis of HIV-related encephalopathy or PML have better survival compared to patients treated by cART with low CPE score. After 1999, the relationship between survival and CPE score was no longer evidenced, probably because this late cART period corresponded to the arrival of more potent regimen associated with a better control of plasma viral load. The second analysis, adjusting on HIV RNA, confirmed the major effect of the control of viral replication independently of the CPE score for survival after these 2 neurologic events more directly linked to HIV infection. While cerebral toxoplasmosis and cryptococcal meningitis represent neurologic manifestations of immunodepression and benefit from specific therapies, it is interesting to note that the decline of mortality associated with high CPE score regimen compared to 6 Neurology 76 February 15, 2011 low CPE regimen was no more evidenced after adjustment on HIV RNA. ACKNOWLEDGMENT The authors thank all the participants and research assistants of the French Hospital Database on HIV. The French Hospital Database on HIV is supported by Agence Nationale de Recherches sur le SIDA et les Hépatites (ANRS), INSERM, and the French Ministry of Health. DISCLOSURE Dr. Lanoy, Dr. Guiguet, Dr. Bentata, Dr. Rouveix, Dr. Dhiver, and Dr. Poizot-Martin report no disclosures. Dr. Costagliola has served on scientific advisory boards for Tibotec Therapeutics/Janssen, GlaxoSmithKline, and ViiV Healthcare; has received funding for travel or speaker honoraria from Gilead Sciences, Inc., Merck Serono, GlaxoSmithKline, and Boehringer Ingelheim; and receives research support from GlaxoSmithKline, Bristol-Myers Squibb, Tibotec Therapeutics/Janssen, Roche, ANRS, INSERM, Université Pierre et Marie Curie, and Sidaction. Dr. Gasnault has served on a scientific advisory board for GlaxoSmithKline and has received funding for travel and speaker honoraria from Abbott, Boehringer Ingelheim, Bristol-Myers Squibb, Gilead Sciences, Inc., GlaxoSmith Kline, Tibotec Therapeutics/Janssen, and ViiV Healthcare. APPENDIX The FHDH-ANRS CO4: S. Abgrall (U943 INSERM and UPMC, Statistical Analysis Center, member of Scientific Committee); F. Barin (Corevih Centre, member of Scientific Committee); M. Bentata (Corevih Ile de France Est, member of Scientific Committee); E. Billaud (Corevih Pays de la Loire, Site Investigator, member of Scientific Committee); F. Boué (Corevih Ile de France Sud, Site Investigator, member of Scientific Committee); C. Burty (Corevih Lorraine, member of Scientific Committee); A. Cabié (Corevih de Martinique, Site Investigator, member of Scientific Committee); D. Costagliola (U943 INSERM and UPMC, Director of Statistical Analysis Center, member of Scientific Committee); L. Cotte (Corevih de la Vallée du Rhône, Site Investigator, member of Scientific Committee); P. de Truchis (Corevih Ile de France Ouest, Site Investigator, member of Scientific Committee); X. Duval (Corevih Ile de France Nord, member of Scientific Committee); C. Duvivier (Corevih Ile de France Sud, member of Scientific Committee); P. Enel (Corevih PACA Ouest, member of Scientific Committee); J. Gasnault (Corevih Ile de France Sud, member of Scientific Committee); C. Gaud (Corevih de La Réunion, Site Investigator, member of Scientific Committee); J. Gilquin (Corevih Ile de France Sud, Site Investigator, member of Scientific Committee); S. Grabar (U943 INSERM and UPMC, Statistical Analysis Center, member of Scientific Committee); C. Katlama (Corevih Ile de France Centre, Site Investigator, member of Scientific Committee); M.A. Khuong (Corevih Ile de France Est, member of Scientific Committee); J.M. Lang (Corevih Alsace, Site Investigator, member of Scientific Committee); A.S. Lascaux (Corevih Ile de France Sud, member of Scientific Committee); O. Launay (Corevih Ile de France Sud, member of Scientific Committee); A. Mahamat (Corevih Guyane, member of Scientific Committee); M. Mary-Krause (U943 INSERM and UPMC, Statistical Analysis Center, member of Scientific Committee); S. Matheron (Corevih Ile de France Nord, Site Investigator, member of Scientific Committee); J.L. Meynard (Corevih Ile de France Centre, Site Investigator, member of Scientific Committee); J. Pavie (Corevih Ile de France Est, member of Scientific Committee); G. Pialoux (Corevih Ile de France Centre, Site Investigator, member of Scientific Committee); F. Pilorgé (AIDES, member of Scientific Committee); I. Poizot-Martin (Corevih PACA Ouest, Site Investigator, member of Scientific Committee); C. Pradier (Corevih PACA Est, Site Investigator, member of Scientific Committee); J. Reynes (Corevih Languedoc-Roussillon, Site Investigator, member of Scientific Committee); E. Rouveix (Corevih Ile de France Ouest, member of Scientific Committee); A. Simon (Corevih Ile de France Centre, Site Investigator, member of Scientific Committee); P. Tattevin (Corevih Bretagne, member of Scientific Committee); H. TissotDupont (Corevih PACA Ouest, Site Investigator, member of Scientific Committee); J.P. Viard (Corevih Ile de France Sud, Site Investigator, member of Scientific Committee); N. Viget (Corevih Nord-Pas de Calais, balt4/znl-neurol/znl-neurol/znl00711/znl8509-11z xppws Sⴝ1 12/24/10 10:31 Art: WNL202244 Input-mm Site Investigator, member of Scientific Committee); M. Brosseau (French Ministry of Health, DMI2 coordinating center); V. Salomon (French Ministry of Health, DMI2 coordinating center); N. Jacquemet (DMI2 coordinating center, Technical Hospitalization Information Agency, DMI2 coordinating center); M. Guiguet (U943 INSERM and UPMC, Statistical Analysis Center); E. Lanoy (U943 INSERM and UPMC, Statistical Analysis Center); L. Lièvre (U943 INSERM and UPMC, Statistical Analysis Center); H. Selinger-Leneman (U943 INSERM and UPMC, Statistical Analysis Center); J.M. Lacombe (INSERM Transfert, Statistical Analysis Center); V. Potard (INSERM Transfert, Statistical Analysis Center); F. Bricaire (Corevih Ile de France Centre, Site Investigator); S. Herson (Corevih Ile de France Centre, Site Investigator); N. Desplanque (Corevih Ile de France Centre, Site Investigator); P.M. Girard (Corevih Ile de France Centre, Site Investigator); M.C. Meyohas (Corevih Ile de France Centre, Site Investigator); O. Picard (Corevih Ile de France Centre, Site Investigator); J. Cadranel (Corevih Ile de France Centre, Site Investigator); C. Mayaud (Corevih Ile de France Centre, Site Investigator); J.P. Clauvel (Corevih Ile de France Est, Site Investigator); J.M. Decazes (Corevih Ile de France Est, Site Investigator); L. Gerard (Corevih Ile de France Est, Site Investigator); J.M. Molina (Corevih Ile de France Est, Site Investigator); M. Diemer (Corevih Ile de France Est, Site Investigator); P. Sellier (Corevih Ile de France Est, Site Investigator); P. Honoré (Corevih Ile de France Est, Site Investigator); V. Jeantils (Corevih Ile de France Est, Site Investigator); S. Tassi (Corevih Ile de France Est, Site Investigator); D. Mechali (Corevih Ile de France Est, Site Investigator); B. Taverne (Corevih Ile de France Est, Site Investigator); E. Bouvet (Corevih Ile de France Nord, Site Investigator); B. Crickx (Corevih Ile de France Nord, Site Investigator); J.L. Ecobichon (Corevih Ile de France Nord, Site Investigator); C. Picard-Dahan (Corevih Ile de France Nord, Site Investigator); P. Yeni (Corevih Ile de France Nord, Site Investigator); H. Berthé (Corevih Ile de France Ouest, Site Investigator); C. Dupont (Corevih Ile de France Ouest, Site Investigator); C. Chandemerle (Corevih Ile de France Ouest, Site Investigator); E. Mortier (Corevih Ile de France Ouest, Site Investigator); D. Tisne-Dessus (Corevih Ile de France Sud, Site Investigator); L. Weiss (Corevih Ile de France Sud, Site Investigator); D. Salmon (Corevih Ile de France Sud, Site Investigator); I. Auperin (Corevih Ile de France Sud, Site Investigator); L. Roudière (Corevih Ile de France Sud, Site Investigator); R. Fior (Corevih Ile de France Sud, Site Investigator); J.F. Delfraissy (Corevih Ile de France Sud, Site Investigator); C. Goujard (Corevih Ile de France Sud, Site Investigator); C. Jung (Corevih Ile de France Sud, Site Investigator); P. Lesprit (Corevih Ile de France Sud, Site Investigator); D. Vittecoq (Corevih Ile de France Sud, Site Investigator); P. Fraisse (Corevih Alsace, Site Investigator); D. Rey (Corevih Alsace, Site Investigator); G. Beck-Wirth (Corevih Alsace, Site Investigator); J.P. Stahl (Corevih de l’Arc Alpin, Site Investigator); P. Lecercq (Corevih de l’Arc Alpin, Site Investigator); F. Gourdon (Corevih Auvergne-Loire, Site Investigator); H. Laurichesse (Corevih AuvergneLoire, Site Investigator); A. Fresard (Corevih Auvergne-Loire, Site Investigator); F. Lucht (Corevih Auvergne-Loire, Site Investigator); C. Bazin (Corevih Basse-Normandie, Site Investigator); R. Verdon (Corevih BasseNormandie, Site Investigator); P. Chavanet (Corevih Bourgogne, Site Investigator); C. Arvieux (Corevih Bretagne, Site Investigator); C. Michelet (Corevih Bretagne, Site Investigator); P. Choutet (Corevih Centre, Site Investigator); A. Goudeau (Corevih Centre, Site Investigator); M.F. Maître (Corevih Centre, Site Investigator); B. Hoen (Corevih FrancheComté, Site Investigator); P. Elinger (Corevih Franche-Comté, Site Investigator); J.P. Faller (Corevih Franche-Comté, Site Investigator); F. Borsa-Lebas (Corevih Haute-Normandie, Site Investigator); F. Caron (Corevih Haute-Normandie, Site Investigator); J.P. Daurès (Corevih LanguedocRoussillon, Site Investigator); T. May (Corevih Lorraine, Site Investigator); C. Rabaud (Corevih Lorraine, Site Investigator); J.L. Berger (Corevih Lorraine, Site Investigator); G. Rémy (Corevih Lorraine, Site Investigator); E. Arlet-Suau (Corevih de Midi-Pyrénées, Site Investigator); L. Cuzin (Corevih de Midi-Pyrénées, Site Investigator); P. Massip (Corevih de Midi-Pyrénées, Site Investigator); M.F. Thiercelin Legrand (Corevih de Midi-Pyrénées, Site Investigator); G. Pontonnier (Corevih de Midi-Pyrénées, Site Investigator); Y. Yasdanpanah (Corevih Nord-Pas de Calais, Site Investigator); P. Dellamonica (Corevih PACA Est, Site Investigator); P. Pugliese (Corevih PACA Est, Site Investigator); K. Aleksandrowicz (Corevih PACA Est, Site Investigator); D. Quinsat (Corevih PACA Est, Site Investigator); I. Ravaux (Corevih PACA Ouest, Site Investigator); J.P. Delmont (Corevih PACA Ouest, Site Investigator); J. Moreau (Corevih PACA Ouest, Site Investigator); J.A. Gastaut (Corevih PACA Ouest, Site Investigator); F. Retornaz (Corevih PACA Ouest, Site Investigator); J. Soubeyrand (Corevih PACA Ouest, Site Investigator); A. Galinier (Corevih PACA Ouest, Site Investigator); J.M. Ruiz (Corevih PACA Ouest, Site Investigator); T. Allegre (Corevih PACA Ouest, Site Investigator); P.A. Blanc (Corevih PACA Ouest, Site Investigator); D. Bonnet-Montchardon (Corevih PACA Ouest, Site Investigator); G. Lepeu (Corevih PACA Ouest, Site Investigator); P. Granet-Brunello (Corevih PACA Ouest, Site Investigator); J.P. Esterni (Corevih PACA Ouest, Site Investigator); L. Pelissier (Corevih PACA Ouest, Site Investigator); R. Cohen-Valensi (Corevih PACA Ouest, Site Investigator); M. Nezri (Corevih PACA Ouest, Site Investigator); S. Chapadaud (Corevih PACA Ouest, Site Investigator); A. Laffeuillade (Corevih PACA Ouest, Site Investigator); F. Raffi (Corevih Pays de la Loire, Site Investigator); A. Boibieux (Corevih de la Vallée du Rhône, Site Investigator); D. Peyramond (Corevih de la Vallée du Rhône, Site Investigator); J.M. Livrozet (Corevih de la Vallée du Rhône, Site Investigator); J.L. Touraine (Corevih de la Vallée du Rhône, Site Investigator); C. Trepo (Corevih de la Vallée du Rhône, Site Investigator); M. Strobel (Corevih de Guadeloupe, Site Investigator); F. Bissuel (Corevih de Guadeloupe, Site Investigator); R. Pradinaud (Corevih de Guyane, Site Investigator); M. Sobesky (Corevih de Guyane, Site Investigator); and M. 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