Evidence map›Paper›PMID 39282735›Full record

ArticleRenal failure2024

The effectiveness of nirmatrelvir/ritonavir regimen in hospitalized renal transplant patients with prolonged COVID-19 infection: a multicenter clinical experience.

Huanxi Zhang, Wenrui Wu, Yitao Zheng, Qian Fu, Peisong Chen, Jianyi Li, Zixuan Wu, Jincui Gu, Jun Li, Longshan Liu and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Huanxi ZhangOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wenrui WuOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yitao ZhengKidney Transplant Department, Organ Transplant Center, Third People's Hospital of Shenzhen, The Second Affiliated Hospital, Southern University of Science and Technology, National Clinical Research Center for Infectious Disease, Shenzhen, China.
Qian FuOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Peisong ChenDepartment of Laboratory Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jianyi LiOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zixuan WuKidney Transplant Department, Organ Transplant Center, Third People's Hospital of Shenzhen, The Second Affiliated Hospital, Southern University of Science and Technology, National Clinical Research Center for Infectious Disease, Shenzhen, China.
Jincui GuDepartment of Pulmonary and Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jun LiOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Longshan LiuOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Chenglin WuOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Sizhe LongCenter for Information Technology and Statistics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Bowen XuOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Liuting LingOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yingxin FuKidney Transplant Department, Organ Transplant Center, Third People's Hospital of Shenzhen, The Second Affiliated Hospital, Southern University of Science and Technology, National Clinical Research Center for Infectious Disease, Shenzhen, China.
Changxi WangOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEffectiveness of nirmatrelvir/ritonavir (NR) in kidney transplant recipients (KTRs) infected COVID-19 for more than 5 days has not been evaluated.

methodsIn this multicenter retrospective study, 85 KTRs with COVID-19 were enrolled, including 50 moderate, 21 severe, and 14 critical patients.

resultsThe median time from onset to starting NR treatment was 14 (IQR, 11-19) days. Before NR treatment, 96.5% patients reduced use of antimetabolites. They also stopped using calcineurin inhibitors (CNI) 12-24 hours before NR treatment, with CNI concentrations well-controlled during NR treatment. The use of intravenous corticosteroids increased with COVID-19 severity. The median time to reach viral negative conversion was 5 (IQR, 4-8) days for all patients. For moderate and severe COVID-19 patients, they had a low rate of ICU admission (1.4%), exacerbation requiring upgraded oxygen therapy (5.6%), and dialysis (2.8%); no intubation and mechanical ventilation, and no deaths were observed. Patients with critical COVID-19 had a low mortality rate (7.1%).

conclusionsA regimen including NR for clearing SARS-CoV-2 along with reducing immunosuppressants and using intravenous corticosteroids is associated with lower rates of exacerbation and mortality in KTRs who have moderate to critical SARS-CoV-2 infection and the virus still present after 5 days.

Indexed as

Antiviral AgentsCOVID-19 Drug TreatmentKidney TransplantationRitonavirAdultAgedCOVID-19Drug CombinationsFemaleHospitalizationHumansImmunosuppressive AgentsLopinavirMaleMiddle AgedRetrospective StudiesAntiviral AgentsDrug CombinationsImmunosuppressive AgentsLopinavirlopinavir-ritonavir drug combinationRitonavirCOVID-19efficacykidney transplantationNirmatrelvir/ritonavirSARS-CoV-2

Identifiers

PMID39282735
PMCPMC11407377

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.