The comparison of outcomes from tyrosine kinase inhibitor monotherapy in second- or third-line for advanced non-small-cell lung cancer patients with wild-type or unknown EGFR status

none18noBackground: Second-line treatment for advanced non-small-cell lung cancer (NSCLC) patients includes monotherapy with a third-generation cytotoxic drug (CT) or a tyrosine kinase inhibitor (TKI). These options are the actual standard for EGFR wild-type (WT) status, as patients with EGFR mutations achieve greater benefit by the use of TKI in first-line treatment. Some clinical trials and meta-analyses investigated the comparison between CT and TKI in second-line, but data are conflicting. Methods: We designed a retrospective trial to gather information about TKI sensitivity in comparison with CT. We selected from clinical records patients treated with at least 1 line of CT and at least 1 line of TKI. We collected data about age, sex, performance status, comorbidity, smoking status, histotype, metastatic sites, EGFR status, treatment schedule, better response and time-to-progression (TTP) for each line of treatment and overall survival (OS). Results: 93 patients met selection criteria. Mean age 66,7 (range: 46-84). M/F ratio is 3:1. 39 EGFR-WT and 54 EGFR-UK. All patients received erlotinib or gefitinib as second-line treatment or erlotinib as third-line treatment. No TTP differences were observed for both second-line (HR:0,91; p = 0,6333) and third-line (HR:1.1; p = 0,6951) treatment (TKI vs CT). A trend of a benefit in OS in favor of 3rd-line TKI (HR:0,68; p = 0,11). Conclusions: This study explores the role of TKIs in EGFR non-mutated NSCLC patients. OS analysis highlights a trend to a benefit in patients who received TKI in third-line, even if this result is statistically non-significant. Further analysis are needed to find an explanation for this observation.openBronte G.; Franchina T.; Alu M.; Sortino G.; Celesia C.; Passiglia F.; Savio G.; Laudani A.; Russo A.; Picone A.; Rizzo S.; De Tursi M.; Gambale E.; Bazan V.; Natoli C.; Blasi L.; Adamo V.; Russo A.Bronte, G.; Franchina, T.; Alu, M.; Sortino, G.; Celesia, C.; Passiglia, F.; Savio, G.; Laudani, A.; Russo, A.; Picone, A.; Rizzo, S.; De Tursi, M.; Gambale, E.; Bazan, V.; Natoli, C.; Blasi, L.; Adamo, V.; Russo, A

Refining criteria for selecting candidates for a safe lopinavir/ritonavir or darunavir/ritonavir monotherapy in HIV-infected virologically suppressed patients

Objective: The primary objective of this study was to estimate the incidence of treatment failure (TF) to protease inhibitor monotherapies (PI/r-MT) with lopinavir/ritonavir (LPV/r) or darunavir/ritonavir (DRV/r). Design: A multicenter cohort of HIV-infected patients with viral load (VL) \ue2\u89\ua450 copies/mL, who underwent a switch from any triple combination therapy to PI/r-MT with either LPV/r or DRV/r. Methods: VL was assessed in each center according to local procedures. Residual viremia was defined by any HIV-RNA value detectable below 50 copies/mL by a Real-Time PCR method. Standard survival analysis was used to estimate the rate of TF (defined by virological failure or interruption of monotherapy or reintroduction of combination therapy). A multivariable Cox regression analysis with automatic stepwise procedures was used to identify factors independently associated with TF among nadir and baseline CD4+ counts, residual viremia, time spent with 100 cells/\uce\ubcL) and residual viremia (aHR = 1.48 [95% CI: 1.01-2.17] vs. undetectable VL) were independently associated to TF. Conclusions: Residual viremia and nadir CD4+ counts <100 cells/\uce\ubcL should be regarded as the main factors to be taken into account before considering switching to a PI/r-MT

The increasing burden and complexity of multi-morbidity and polypharmacy in geriatric HIV patients: a cross sectional study of people aged 65 - 74 years and more than 75 years

Geriatric Patients Living with HIV/AIDS (GEPPO) is a new prospective observational multicentre cohort consisting of all the HIV-positive geriatric patients being treated at 10 clinics in Italy, and HIV-negative controls attending a single geriatric clinic. The aim of this analysis of the GEPPO cohort was to compare prevalence and risk factors of individual non-communicable diseases (NCD), multi-morbidity (MM) and polypharmacy (PP) amongst HIV positive and HIV negative controls at enrolment into the GEPPO cohort

The comparison of outcomes from tyrosine kinase inhibitor monotherapy in second- or third-line for advanced non-small-cell lung cancer patients with wild-type or unknown EGFR status

Background: Second-line treatment for advanced non-small-cell lung cancer (NSCLC) patients includes monotherapy with a third-generation cytotoxic drug (CT) or a tyrosine kinase inhibitor (TKI). These options are the actual standard for EGFR wild-type (WT) status, as patients with EGFR mutations achieve greater benefit by the use of TKI in first-line treatment. Some clinical trials and meta-analyses investigated the comparison between CT and TKI in second-line, but data are conflicting. Methods: We designed a retrospective trial to gather information about TKI sensitivity in comparison with CT. We selected from clinical records patients treated with at least 1 line of CT and at least 1 line of TKI. We collected data about age, sex, performance status, comorbidity, smoking status, histotype, metastatic sites, EGFR status, treatment schedule, better response and time-to-progression (TTP) for each line of treatment and overall survival (OS). Results: 93 patients met selection criteria. Mean age 66,7 (range: 46-84). M/F ratio is 3:1. 39 EGFR-WT and 54 EGFR-UK. All patients received erlotinib or gefitinib as second-line treatment or erlotinib as third-line treatment. No TTP differences were observed for both second-line (HR:0,91; p = 0,6333) and third-line (HR:1.1; p = 0,6951) treatment (TKI vs CT). A trend of a benefit in OS in favor of 3rd-line TKI (HR:0,68; p = 0,11). Conclusions: This study explores the role of TKIs in EGFR non-mutated NSCLC patients. OS analysis highlights a trend to a benefit in patients who received TKI in third-line, even if this result is statistically non-significant. Further analysis are needed to find an explanation for this observation

Durability, safety, and efficacy of rilpivirine in clinical practice: results from the SCOLTA project

Rilpivirine is associated with a good efficacy and safety profile. However, data from real-life settings are scarce. Methods: We investigated the durability, safety and efficacy of Rilpivirine-based antiretroviral therapy in a prospective, observational, multicenter study. Results: We enrolled 499 HIV-infected patients, 360 (72.1%) males, mean age 43.4\ub1 10.5 years, mean CD4 600\ub1 327 cell/\u3bcL, mean HIV-RNA 3.80\ub1 1.15 log10 cp/mL. After a median follow up of 16 months, 81 (16.2%) interruptions were reported, 36 (7.2%) of which for adverse events (16 of grade 653), most commonly neurological and gastrointestinal. We observed virological failures in only 8 (1.6%) patients. Naive patients showed a significant reduction in eGFR at week 24, 48 and 72 and in total cholesterol (TC)/HDL ratio at week 48 (p=0.007). In patients switching from PI we found a significant decrease at week 24 and 48 in TC and triglycerides at week 24, 48 and 72. eGFR showed a significant decrease at week 48 and 72. TC/HDL ratio showed a statistically significant decrease at week 24 (p=0.0008) and 72 (p=0.04). A significant increase at week 24 and 48 in AST and ALT values was observed. Patients switching from TDF/FTC/EFV showed a reduction in HDL, total cholesterol and triglycerides at week 24 and 48 and in eGFR at all follow up times. TC/HDL ratio showed a significant decrease at week 48 (p=0.01). CDC stage C and antiretroviral-experience (especially Protease Inhibitors) were associated with RPV discontinuation. Conclusion: In conclusion, our data confirm Rilpivirine efficacy, safety and tolerability with improvement in lipid profile. Although hepatic and renal events rarely caused discontinuation, liver and kidney parameters should be monitored

Causes of HIV Treatment Interruption during the Last 20 Years: A Multi-Cohort Real-Life Study

In the last years, many antiretroviral drugs (ART) have been developed with increased efficacy. Nowadays, the main reasons for treatment switches are adverse events, proactive strategy or simplification. We conducted a retrospective cohort study to investigate the reason for treatment interruption in the last 20 years. We merged data of eight cohorts of the SCOLTA project: lopinavir/r (LPV), atazanavir/r (ATV), darunavir/r or /c (DRV), rilpivirine (RPV), raltegravir (RAL), elvitegravir/c (EVG), dolutegravir (DTG) and bictegravir (BIC). We included 4405 people with HIV (PWH). Overall, 664 (15.1%), 489 (11.1%), and 271 (6.2%) PWH interrupted the treatment in the first, second, and third years after starting a new ART. Looking at the interruption in the first year, the most frequent causes were adverse events (3.8%), loss to follow-up (3.7%), patients’ decisions (2.6%), treatment failure (1.7%), and simplification (1.3%). In the multivariate analysis regarding experienced patients, treatment with LPV, ATV, RPV or EVG/c, having less than 250 CD4 cells/mL, history of intravenous drug use, and HCV positivity were associated with an increased risk of interruption. In naive people, only LPV/r was associated with an increased risk of interruption, while RPV was associated with a lower risk. In conclusion, our data on more than 4400 PWH show that adverse events have represented the most frequent cause of treatment interruptions in the first year of ART (3.84%). Treatment discontinuations were more frequent during the first year of follow-up and decreased thereafter. First-generation PI in both naïve and experienced PWH, and EVG/c, in experienced PWH, were associated with a higher risk of treatment interruptions

Factors associated with weight gain in people treated with dolutegravir

Background. An unexpected excess in weight gain has recently been reported in the course of dolutegravir (DTG) treatment. The aim of the present study was to investigate whether weight gain differs among different DTG-containing regimens. Methods. Adult naïve and experienced people with HIV (PWH) initiating DTG-based antiretroviral therapy (ART) between July 2014 and December 2019 in the Surveillance Cohort Long-Term Toxicity Antiretrovirals (SCOLTA) prospective cohort were included. We used an adjusted general linear model to compare weight change among backbone groups and a Cox proportional hazard regression model to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for weight increases &gt;10% from baseline. Results. A total of 713 participants, 25.3% women and 91% Caucasian, were included. Of these, 195 (27.4%) started DTG as their first ART regimen, whereas 518 (72.6%) were ART-experienced. DTG was associated with abacavir/lamivudine in 326 participants, tenofovir disoproxil fumarate/emtricitabine (TDF/FTC) in 148, boosted protease inhibitors in 60, rilpivirine in 45, lamivudine in 75, and tenofovir alafenamide (TAF)/FTC in 59. At 6 and 12 months, weight gain was highest among PWH on TDF/FTC+DTG and TAF/FTC+DTG. Baseline CD4 &lt;200 cells/mm3 (HR, 1.84; 95% CI, 1.15 to 2.96), being ART-naïve (HR, 2.24; 95% CI, 1.24 to 4.18), and treatment with TDF/FTC+DTG (HR, 1.92; 95% CI, 1.23 to 2.98) or TAF/FTC+DTG (HR, 3.80; 95% CI, 1.75 to 8.23) were associated with weight gain &gt;10% from baseline. Higher weight (HR, 0.97 by 1 kg; 95% CI, 0.96 to 0.99) and female gender (HR, 0.54; 95% CI, 0.33 to 0.88) were protective against weight gain. Conclusions. Naïve PWH with lower CD4 counts and those on TAF/FTC or TDF/FTC backbones were at higher risk of weight increase in the course of DTG-based ART

Lipids and transaminase elevations in ARV-experienced PLWH switching to a doravirine-based regimen from rilpivirine or other regimens

Background: Doravirine (DOR) is a newly approved antiretroviral belonging to the class of non-nucleoside reverse transcriptase inhibitors (NNRTI), well tolerated and leading to an improved lipid profile in antiretroviral experienced people living with HIV (PLWH). We aimed at evaluating if the lipid-lowering effect is linked to the drug class, using real-life data from the SCOLTA cohort. Methods: We compared the lipid profile modifications in experienced PLWH switching to a DOR-based regimen from rilpivirine or another NNRTI-based regimen or from an integrase strand transferase (INSTI)-based regimen. T0 and T1 were defined as the baseline and 6-month follow-up respectively. Data were collected at baseline and prospectively every six months and changes from baseline were compared using a multivariable linear model. Results: In 107 PLWH, enrolled in the SCOLTA DOR cohort, with undetectable HIV-RNA at baseline, 32.7% switched from RPV-based regimens (DOR1), 29.9% from other NNRTI-including regimens (DOR2) and 37.4% switched from INSTI-including regimens (DOR3). At T1, TC significantly decreased in DOR2 (-15&nbsp;mg/dL) and DOR3 (-23&nbsp;mg/dL), and significantly more in DOR3 than in DOR1 (-6&nbsp;mg/dL) (p = 0.016). HDL-C declined in DOR2 (-2&nbsp;mg/dL) whereas it increased in DOR1 (+ 3&nbsp;mg/dL) (p = 0.042) and remained stable in DOR3. LDL-C significantly decreased from baseline in DOR2 (-12&nbsp;mg/dL) and DOR3 (-22&nbsp;mg/dL) and was different between DOR1 (-8&nbsp;mg/dL) and DOR3 (p = 0.022). TC/HDL ratio showed a significant decline in the DOR3 group (-0.45), although similar to DOR1 (-0.23, p = 0.315) and DOR2 (-0.19, p = 0.254). Triglycerides did not noticeably change. ALT significantly decreased in PLWH with a baseline level &gt; 40 UI/mL. Conclusions: PLWH on doravirine treatment showed different trends in blood lipids according to their previous regimen. In PLWH switching from RPV, minimal modifications were seen, whereas in those switching from other NNRTIs and from INSTI-including regimens, we observed an overall improvement in lipid profile, seemingly independent of the “statin effect” of TDF

Improvement of lipid profile after switching from efavirenz or ritonavir-boosted protease inhibitors to rilpivirine or once-daily integrase inhibitors: Results from a large observational cohort study (SCOLTA)

Background: Dyslipidemia represents a significant non-infectious comorbidity among people living with HIV. The aim of this study is to evaluate the impact on lipid profile of switches from an efavirenz (EFV) or protease inhibitor/ritonavir (PI/r)-based regimen to a rilpivirine (RPV) or a once-daily integrase inhibitor-based regimen. Methods: We analyzed data from SCOLTA prospective database. All patients with HIV-RNA &lt; 50 copies/ml in therapy with two NRTI + EFV or PI/r were included if they switched from EFV to dolutegravir (group EFV-DTG), elvitegravir (EFV-EVG), or RPV (EFV-RPV) and from PI/r to DTG (PI/r-DTG), PI/r to EVG (PI/r-EVG), or PI/r to RPV (PI/r-RPV). Total cholesterol (TC), TC/HDL ratio, LDL-cholesterol (LDL) and triglycerides (TG) were compared at baseline, six months and one year. Comparisons among groups were performed by a general linear model. Results: Four hundred and ninety patients were enrolled, 24.9% female, mean age 47.3 years (\ub110.1). According to ART switch, 11.4% were classified in group EFV-DTG, 3.9% in EFV-EVG, 23.9% in EFV-RPV, 17.6% in PI/r-DTG, 17.8% in PI/r-EVG, and 25.5% in PI/r-RPV. After adjusted analysis, TC significantly decreased in all groups but EFV-EVG, TC/HDL in all but EFV-DTG and EFV-EVG, while the reduction of TG was significant only in switches to RPV (EFV-RPV and PI/r-RPV). The one year decrease of TC, TC/HDL, LDL and TG was higher in patients with higher baseline levels of the same variable (p &lt; .0001 for all). Conclusions: In SCOLTA, all switches from PI/r regimens gave advantages on lipid profile, while stopping EFV had consistently favorable lipid effects only if replaced by RPV

Weight gain: A possible side effect of all antiretrovirals

Weight gain and body mass index (BMI) increase are central issues in patients living with HIV who need to minimize the risk of metabolic disease. Information collected through the SCOLTA cohort revealed significant 1-year BMI increase in patients treated with dolutegravir (P = .004), raltegravir (P = .0004), elvitegravir (P = .004), darunavir (P = .0006), and rilpivirine (P = .029). BMI gain correlated with low baseline BMI (P = .002) and older age (P = .0007) in Centers for Disease Control and Prevention stages A/B, with lower BMI (P = .005) and CD4+ T-cell count (P = .007) at enrollment in stage C