Automated Author ProfileCarvalho, Noemia
Universidade de São Paulo
Carvalho, Noemia
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.8 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Background: Trypanosoma cruzi and HIV coinfection can evolve with depression of cellular immunity and increased parasitemia. We applied quantitative PCR (qPCR) as a marker for preemptive antiparasitic treatment to avoid fatal Chagas disease reactivation and analyzed the outcome of treated cases. Methodology: This mixed cross-sectional and longitudinal study included 171 Chagas disease patients, 60 coinfected with HIV. Of these 60 patients, ten showed Chagas disease reactivation, confirmed by parasites identified in the blood, cerebrospinal fluid, or tissues, 12 exhibited high parasitemia but no reactivation, and 38 had low parasitemia and no reactivation. Results: We showed, for the first time, the success of the timely introduction of benznidazole in the non-reactivated group with high levels of parasitemia detected by qPCR and the absence of parasites in reactivated cases with at least 58 days of benznidazole. HIV+ and HIV+ without reactivation had a 4.0 – 5.1 higher chance of having parasitemia than HIV seronegative cases. A positive correlation was found between parasite and viral loads. Remarkably, treated T. cruzi/HIV-coinfected patients had 77.3% conversion from positive to negative parasitemia compared to 19.1% of untreated patients. Additionally, untreated patients showed ~13.6 times higher odds of having positive parasitemia in the follow-up period compared with treated patients. Treated and untreated patients showed no differences regarding the evolution of Chagas disease. The main factors associated with all-cause mortality were higher parasitemia, lower CD4 counts/µL, higher viral load, and absence of antiretroviral therapy. Conclusion: We recommend qPCR prospective monitoring of T. cruzi parasitemia in HIV+ patients and point out the value of pre-emptive therapy for patients with temporary high parasitemia. In parallel, an early antiretroviral therapy introduction is advisable, aiming at viral load control, immune response restoration, and major survival. We also suggest an earlier antiparasitic treatment for all coinfected patients, followed by effectiveness analysis alongside antiretroviral therapy.
Authors
- Freitas, Vera ;
- Novaes, Christina ;
- Carvalho, Noemia ;
- Vicente da Silva, Sheila ;
- Sartori, Ana Marli ;
- Nakanishi, Érika ;
- Salvador, Fernando ;
- Castro, Cleudson ;
- Bezerra, Rita Cristina ;
- Westphalen, Elizabeth ;
- Oliveira, Caroline ;
- Delatorre Busser, Felipe ;
- Ho, Yeh Li ;
- Buccheri, Renata ;
- Bonilla, Carolina ;
- Shikanai Yasuda, Maria Aparecida