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  1. Saba J, Audureau E, Bizé M, Koloshuk B, Ladner J
    Popul Health Manag, 2013 Apr;16(2):82-9.
    PMID: 23276290 DOI: 10.1089/pop.2012.0049
    The objective was to develop and validate a multilateral index to determine patient ability to pay for medication in low- and middle-income countries. Primary data were collected in 2009 from 117 cancer patients in China, India, Thailand, and Malaysia. The initial tool included income, expenditures, and assets-based items using ad hoc determined brackets. Principal components analysis was performed to determine final weights. Agreement (Kappa) was measured between results from the final tool and from an Impact Survey (IS) conducted after beginning drug therapy to quantify a patient's actual ability to pay in terms of number of drug cycles per year. The authors present the step-by-step methodology employed to develop the tool on a country-by-country basis. Overall Cronbach value was 0.84. Agreement between the Patient Financial Eligibility Tool (PFET) and IS was perfect (equal number of drug cycles) for 58.1% of patients, fair (1 cycle difference) for 29.1%, and poor (>1 cycle) for 12.8%. Overall Kappa was 0.76 (P<0.0001). The PFET is an effective tool for determining an individual's ability to pay for medication. Combined with tiered models for patient participation in the cost of medication, it could help to increase access to high-priced products in developing countries.
  2. Ladner J, Madi F, Jayasundera R, Saba J, Audureau E
    J Comp Eff Res, 2023 Jul;12(7):e220210.
    PMID: 37278943 DOI: 10.57264/cer-2022-0210
    Aim: Survival of patients with Hodgkin's lymphoma is lower in in low- and middle-income countries, but factors leading to these outcomes are poorly understood. The objective of this study was to identify predictive factors associated with overall survival among cancer patients undergoing therapy in seven low- and middle-income countries. Materials & methods: A multicenter cohort was conducted in Egypt, Malaysia, Mexico, Peru, Philippines, Thailand and Ukraine. Results. A total of 460 patients were included. Phone-based support during patient follow-up and number of patients seen by the physician provided a positive impact, while the number of adverse events remains a predictor of death and physician decision to stop treatment. Conclusion: Furthers research on the potential benefit of phone-based programs to support patients with chronic diseases treatments should be explored in less developed countries.
  3. de Prost N, Audureau E, Guillon A, Handala L, Préau S, Guigon A, et al.
    Ann Intensive Care, 2024 Jun 28;14(1):101.
    PMID: 38940865 DOI: 10.1186/s13613-024-01319-w
    BACKGROUND: A notable increase in severe cases of COVID-19, with significant hospitalizations due to the emergence and spread of JN.1 was observed worldwide in late 2023 and early 2024. However, no clinical data are available regarding critically-ill JN.1 COVID-19 infected patients.

    METHODS: The current study is a substudy of the SEVARVIR prospective multicenter observational cohort study. Patients admitted to any of the 40 participating ICUs between November 17, 2022, and January 22, 2024, were eligible for inclusion in the SEVARVIR cohort study (NCT05162508) if they met the following inclusion criteria: age ≥ 18 years, SARS-CoV-2 infection confirmed by a positive reverse transcriptase-polymerase chain reaction (RT-PCR) in nasopharyngeal swab samples, ICU admission for acute respiratory failure. The primary clinical endpoint of the study was day-28 mortality. Evaluation of the association between day-28 mortality and sublineage group was conducted by performing an exploratory multivariable logistic regression model, after systematically adjusting for predefined prognostic factors previously shown to be important confounders (i.e. obesity, immunosuppression, age and SOFA score) computing odds ratios (OR) along with their corresponding 95% confidence intervals (95% CI).

    RESULTS: During the study period (November 2022-January 2024) 56 JN.1- and 126 XBB-infected patients were prospectively enrolled in 40 French intensive care units. JN.1-infected patients were more likely to be obese (35.7% vs 20.8%; p = 0.033) and less frequently immunosuppressed than others (20.4% vs 41.4%; p = 0.010). JN.1-infected patients required invasive mechanical ventilation support in 29.1%, 87.5% of them received dexamethasone, 14.5% tocilizumab and none received monoclonal antibodies. Only one JN-1 infected patient (1.8%) required extracorporeal membrane oxygenation support during ICU stay (vs 0/126 in the XBB group; p = 0.30). Day-28 mortality of JN.1-infected patients was 14.6%, not significantly different from that of XBB-infected patients (22.0%; p = 0.28). In univariable logistic regression analysis and in multivariable analysis adjusting for confounders defined a priori, we found no statistically significant association between JN.1 infection and day-28 mortality (adjusted OR 1.06 95% CI (0.17;1.42); p = 0.19). There was no significant between group difference regarding duration of stay in the ICU (6.0 [3.5;11.0] vs 7.0 [4.0;14.0] days; p = 0.21).

    CONCLUSIONS: Critically-ill patients with Omicron JN.1 infection showed a different clinical phenotype than patients infected with the earlier XBB sublineage, including more frequent obesity and less immunosuppression. Compared with XBB, JN.1 infection was not associated with higher day-28 mortality.

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