Personalized Therapy Approach for Hospitalized Patients with Coronavirus Disease 2019
Open accessAbstract
Hospitalized patients with coronavirus disease 2019 (COVID-19) experiencing respiratory symptoms have different complications (inflammatory, co-infection, and thrombotic) that are identifiable by analytics patterns. Personalized treatment decisions decreased early mortality (odds ratio [OR] .144; 95% confidence interval [CI] .03–.686; P = .015). Increasing age (OR 1.06; P = .038) and therapeutic effort limitation (OR 9.684; P < .001) were associated with higher mortality.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246 · see citing works
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263 · see citing works
COVID-19: consider cytokine storm syndromes and immunosuppression
Mehta, P., McAuley, D. F., Brown, M., Sanchez, E., Tattersall, R. S., & Manson, J. J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30628-0 · Cited by 9,664 · see citing works
Wu, C., Chen, X., Cai, Y., Xia, J., Zhou, X., Xu, S., Huang, H., Zhang, L., Zhou, X., Du, C., et al. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.0994 · Cited by 8,249 · see citing works
Incidence of thrombotic complications in critically ill ICU patients with COVID-19
Klok, F. A., Kruip, M. J. H. A., van der Meer, N. J. M., Arbous, M. S., Gommers, D. A. M. P. J., Kant, K. M., Kaptein, F. H. J., van Paassen, J., Stals, M. A. M., Huisman, M. V., et al. (2020) · Thrombosis Research · doi:10.1016/j.thromres.2020.04.013 · Cited by 5,028 · see citing works
Acute respiratory distress syndrome
Thompson, B. T., Chambers, R. C., & Liu, K. D. (2017) · New England Journal of Medicine · doi:10.1056/nejmra1608077 · Cited by 1,807 · see citing works
Cavalli, G., Luca, G. D. D., Campochiaro, C., Della‐Torre, E., Ripa, M., Canetti, D., Oltolini, C., Castiglioni, B., Din, C. T., Boffini, N., et al. (2020) · The Lancet Rheumatology · doi:10.1016/s2665-9913(20)30127-2 · Cited by 971 · see citing works
Tocilizumab in patients with severe COVID-19: a retrospective cohort study
Guaraldi, G., Meschiari, M., Cozzi-Lepri, A., Milic, J., Tonelli, R., Menozzi, M., Franceschini, E., Cuomo, G., Orlando, G., Borghi, V., et al. (2020) · The Lancet Rheumatology · doi:10.1016/s2665-9913(20)30173-9 · Cited by 939 · see citing works
Shakoory, B., Carcillo, J. A., Chatham, W. W., Amdur, R. L., Zhao, H., Dinarello, C. A., Cron, R. Q., & Opal, S. M. (2016) · Critical Care Medicine · doi:10.1097/ccm.0000000000001402 · Cited by 867 · see citing works
Hyperferritinemia and inflammation
Kernan, K. F., & Carcillo, J. A. (2017) · International Immunology · doi:10.1093/intimm/dxx031 · Cited by 638 · see citing works
Flagged first, then by citations
2 of the 12 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Grasselli G, Zangrillo A, Zanella A, et al. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy Region, Italy. JAMA 2020; 323:1574-81.
- Oberhoffer M, Karzai W, Meier-Hellmann A, Bögel D, Faßbinder J, Reinhart K. Sensitivity and specificity of various markers of inflammation for the prediction of tumor necrosis factor-α and interleukin-6 in patients with sepsis. Crit Care Med 1999; 27:1814-8. Available at: http://www.ncbi.nlm.nih.gov/pubmed/10507603. Accessed 16 April 2020.
Cited by
Sorted by citations
Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
Nguyen, D. C., Ding, M., Pathirana, P. N., & Seneviratne, A. (2021) · IEEE Access · doi:10.1109/access.2021.3093633 · Cited by 286 · see citing works
Fungal co-infection in COVID-19 patients: Should we be concerned?
Pemán, J., Gaitán, A. C. R., García‐Vidal, C., Salavert, M., Ramírez, P., Gimeno, F. P., García-Hita, M., Alastruey‐Izquierdo, A., & Quindós, G. (2020) · Revista Iberoamericana de Micología · doi:10.1016/j.riam.2020.07.001 · Cited by 193 · see citing works
on behalf of COVID-19 SEMICYUC Working Group, Rodríguez, A. H., Ruíz-Botella, M., Martín‐Loeches, I., Herrera, M., Solé‐Violán, J., Gómez, J., Bodí, M. A., Trefler, S., Papiol, E., et al. (2021) · Critical Care · doi:10.1186/s13054-021-03487-8 · Cited by 86 · see citing works
Bacterial co-infection at hospital admission in patients with COVID-19
Moreno-García, E., Puerta‐Alcalde, P., Letona, L., Meira, F. S., Dueñas, G., Chumbita, M., García-Pouton, N., Monzó, P., Lopera, C., Serra, L., et al. (2022) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2022.03.003 · Cited by 73 · see citing works
Self-citationGonzález‐Zamora, J., Bilbao‐Malavé, V., Gándara, E., Casablanca-Piñera, A., Boquera-Ventosa, C., Landecho, M. F., Zarranz‐Ventura, J., & García‐Layana, A. (2021) · Biomedicines · doi:10.3390/biomedicines9030247 · Cited by 69 · see citing works
Corticosteroids for COVID‐19 symptoms and quality of life at 1 year from admission
Catalán, I. P., Martí, C. R., de la Sota, D. P., Álvarez, A. C., Gimeno, M. J. E., Juana, S. F., Rodríguez, G. H., Bajo, E. D., Gaya, N. T., Blasco, J. U., et al. (2021) · Journal of Medical Virology · doi:10.1002/jmv.27296 · Cited by 58 · see citing works
Ayerdi, O., Puerta, T., Clavo, P., Vera, M., Ballesteros, J., Fuentes, M. E., Estrada, V., Rodríguez, C., Romero, J. D., Sandoval Study Group, et al. (2020) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofaa455 · Cited by 56 · see citing works
García‐Vidal, C., Cózar-Llistó, A., Meira, F. S., Dueñas, G., Puerta‐Alcalde, P., Cillóniz, C., García-Pouton, N., Chumbita, M., Cardozo, C., Hernández, M., et al. (2021) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2021.100041 · Cited by 50 · see citing works
Self-citationImpact of remdesivir according to the pre-admission symptom duration in patients with COVID-19
García‐Vidal, C., Alonso, R., Camon, A. M., Cardozo, C., Albiach, L., Agüero, D. L., Marcos, M. Á., Ambrosioni, J., Bodro, M., Chumbita, M., et al. (2021) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkab321 · Cited by 46 · see citing works
Self-citationPharmacokinetics and biopharmaceutics: “a leader or attendant”
Rajpoot, K., Tekade, R. K., Sharma, M. C., & Tekade, M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-814425-1.00020-6 · Cited by 27 · see citing works
Hospitalized patients with breakthrough COVID-19: Clinical features and poor outcome predictors
Moreno, Ó., Ribes, I., Boix, V., García, M. Á. M., Otero-Rodríguez, S., Reus, S., Sánchez‐Martínez, R., Ramos, J. M., Chico-Sánchez, P., & Merino, E. (2022) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2022.02.007 · Cited by 23 · see citing works
Rico, V., Fernández, M. J., Hurtado, J. C., Marcos, M. Á., Cardozo, C., Albiach, L., Agüero, D. L., Ambrosioni, J., Bodro, M., Chumbita, M., et al. (2022) · Infection · doi:10.1007/s15010-022-01833-8 · Cited by 20 · see citing works
Self-citationCervico-Thoracic Air Collections in COVID-19 Pneumonia Patients - Our Experience and Brief Review
Nistor, C., Găvan, C. S., Pantile, D., Tanase, N. V., & Ciuche, A. (2022) · Chirurgia · doi:10.21614/chirurgia.2719 · Cited by 19 · see citing works
Aiello, T. F., Puerta‐Alcalde, P., Chumbita, M., Lopera, C., Monzó, P., Cortés‐Bullich, A., Fernández‐Avilés, F., Suárez‐Lledó, M., Correa, J. G., Ortiz‐Maldonado, V., et al. (2023) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkad105 · Cited by 17 · see citing works
Self-citationBaşaran, S., Yavuz, S. Ş., Meşe, S., Çağatay, A., Medetalibeyoğlu, A., Öncül, O., Özsüt, H., Ağaçfidan, A., Gül, A., & Eraksoy, H. (2021) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2021.03.031 · Cited by 18 · see citing works
Use of Imaging Technology to Assess the Effect of COVID-19 on Retinal Tissues: A Systematic Review
McGrath, O., & Aslam, T. M. (2022) · Ophthalmology and Therapy · doi:10.1007/s40123-022-00509-8 · Cited by 16 · see citing works
A Trust Paradox May Limit the Application of Al-Generated Knowledge
Nylund, P. A., Ferràs, X., & Brem, A. (2023) · Research-Technology Management · doi:10.1080/08956308.2023.2236475 · Cited by 15 · see citing works
García‐Vidal, C., Teijón‐Lumbreras, C., Aiello, T. F., Chumbita, M., Menéndez, R., Mateu-Subirà, A., Peyrony, O., Monzó, P., Lopera, C., Gallardo‐Pizarro, A., et al. (2024) · Infectious Diseases and Therapy · doi:10.1007/s40121-024-00938-x · Cited by 14 · see citing works
Self-citationSharma, M., Vanam, H. P., Panda, N. K., Patro, S. K., Arora, R., Bhadada, S. K., Rudramurthy, S. M., Singh, M. P., & Koppula, P. R. (2022) · Diabetology · doi:10.3390/diabetology3010013 · Cited by 13 · see citing works
Does immune recognition of SARS-CoV2 epitopes vary between different ethnic groups?
Bose, T., Pant, N., Pinna, N. K., Bhar, S., Dutta, A., & Mande, S. S. (2021) · Virus Research · doi:10.1016/j.virusres.2021.198579 · Cited by 11 · see citing works
COVID19 pandemic is a «pandemic» of antimicrobial therapy
Sinopalnikov, A. I. (2021) · Clinical Microbiology and Antimicrobial Chemotherapy · doi:10.36488/cmac.2021.1.5-15 · Cited by 11 · see citing works
Treatment of Coronavirus Disease 2019—Evidence-based or Personalized Medicine?
Fang, F. C., & Schooley, R. T. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa996 · Cited by 9 · see citing works
Ruíz‐Antorán, B., Sancho‐López, A., Torres, F., Moreno‐Torres, V., de Abechuco, I. D. P. L., López, P. G., Abad‐Santos, F., Rosso-Fernández, C. M., Aldea‐Perona, A., Montané, E., et al. (2020) · medRxiv · doi:10.1101/2020.09.07.20189357 · Cited by 9 · see citing works
Immune System Disequilibrium—Neutrophils, Their Extracellular Traps, and COVID-19-Induced Sepsis
Keane, C., Coalter, M., & Martín‐Loeches, I. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.711397 · Cited by 8 · see citing works
Aiello, T. F., Salmanton‐García, J., Marchesi, F., Weinbergerová, B., Glenthøj, A. B., Praet, J. T. V., Farina, F., Dávila, J., Martín‐Pérez, S., El‐Ashwah, S., et al. (2024) · Haematologica · doi:10.3324/haematol.2023.284678 · Cited by 7 · see citing works
Personalized Therapy: Can it Tame the COVID-19 Monster?
Arish, M., & Naz, F. (2021) · Personalized Medicine · doi:10.2217/pme-2021-0077 · Cited by 6 · see citing works
Meira, F. S., Moreno-García, E., Linares, L., Macaya, I., Tomé, A., Hernández‐Meneses, M., Albiach, L., Morata, L., Letona, L., Bodro, M., et al. (2021) · Infectious Diseases and Therapy · doi:10.1007/s40121-021-00477-9 · Cited by 6 · see citing works
Self-citationNúñez-Ramos, J. A., Illera, E. G. F., Barrios, J. L. Q., Arroyo, H. A. M., Sanjuan, D. J. L., Barbur, M. C. M., Sanjuanelo, A. M. M., Quevedo, M. D. M., & Viasus, D. (2021) · Cureus · doi:10.7759/cureus.14865 · Cited by 6 · see citing works
Therapeutics for COVID-19: established and in development
Singh, K. P., Sasadeusz, J. J., Lewin, S. R., & Audsley, J. (2020) · Microbiology Australia · doi:10.1071/ma20058 · Cited by 4 · see citing works
When and which patients should receive remdesivir?
García‐Vidal, C., & Sanguinetti, M. (2022) · The Lancet · doi:10.1016/s0140-6736(22)00789-9 · Cited by 3 · see citing works
Transcriptomic approaches in COVID-19: From infection to vaccines
Gardinassi, L. G., Souza, C. O. S., de Lima, D. V., Sales‐Campos, H., & Fonseca, S. G. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91794-0.00003-2 · Cited by 3 · see citing works
COVID-19 Severity Prediction in Patients Based on Anomaly Detection Approach
Ikramov, A., Туичиевна, А. Ф., Эркинович, А. Х., & Khadjibaev, А. M. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-2377-6_56 · Cited by 2 · see citing works
Invasive Candidiasis with Cavitary Lung Lesion in a Post-Covid-19 Diabetic Patient- A Case Report
Kaur, H. (2021) · Journal of Clinical and Medical Research · doi:10.37191/mapsci-2582-4333-3(5)-082 · Cited by 2 · see citing works
Moreno, Ó., Núñez, J. E., Sandín‐Rollán, M., Arrarte, V., Boix, V., Reus, S., Pinargote‐Celorio, H., Ribes, I., Alfayate, R., Llorca-Santos, M. B., et al. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.941512 · Cited by 1 · see citing works
COVID‐19 Patients Benefitting From Remdesivir for Improved Survival: A Neural Network‐Based Approach
García‐Vidal, C., Teijón‐Lumbreras, C., Aiello, T. F., Chumbita, M., Menéndez, R., Mateu-Subirà, A., Peyrony, O., Monzó, P., Gallardo‐Pizarro, A., Méndez, R., et al. (2025) · Journal of Medical Virology · doi:10.1002/jmv.70276 · Cited by 1 · see citing works
Self-citationPersonalized Fuzzy Inference System for Optimized COVID-19 Treatment Recommendations
Hajihashemi, A., Marateb, H. R., Wolkewitz, M., Mañanas, M. A., & Rubio-Rivas, M. (2025) · Iranian Joint Congress on Fuzzy and Intelligent Systems · doi:10.1109/cfis68949.2025.11652296 · Cited by 1 · see citing works
Mycophenolate as a corticoid saver in a patient with pneumonia organized by COVID-19
Gimeno, M. J. E., Martí, C. R., Catalán, I. P., Gaya, N. T., & Blasco, J. U. (2021) · Revista Española de Quimioterapia · doi:10.37201/req/048.2021 · Cited by 1 · see citing works
Corrigendum to : Therapeutics for COVID-19: established and in development
Singh, K. P., Sasadeusz, J. J., Lewin, S. R., & Audsley, J. (2021) · Microbiology Australia · doi:10.1071/ma20058_co
COVID-19 en receptores de trasplante renal: ¿qué hemos aprendido tras 18 meses de pandemia?
Fernández‐Ruiz, M. (2021) · Enfermería Nefrológica · doi:10.37551/s2254-28842021020
Şenel, M. Y., Karadoğan, D., Vardaloğlu, I., Develi, E., Çelik, S., Hızal, M. G., Özsezen, B., Öncel, A., Can, I., Hürsoy, N., et al. (2022) · Turkish Thoracic Journal · doi:10.5152/turkthoracj.2022.21289
(2020) · Microbiology Australia · doi:10.1071/mav41n4
ĐẶC ĐIỂM ĐỒNG NHIỄM VI KHUẨN TRÊN BỆNH NHÂN COVID-19 TẠI BỆNH VIỆN HỒI SỨC COVID-19
Lê, P. M., Trương, T. P., Trần, T. T., Nguyễn, T. N. P., Trần, T. M. D., Nguyễn, Q. T., Đặng, A. T., Nguyễn, V. T., Tạ, T. K., & Nguyễn, T. A. (2023) · Tạp chí Y học Việt Nam · doi:10.51298/vmj.v529i1.6233
Secondary infection after COVID-19
Aiello, T. F., Chumbita, M., Monzó, P., Gallardo‐Pizarro, A., Teijón‐Lumbreras, C., Martínez-Urrea, A., & García‐Vidal, C. (2024) · European Respiratory Society eBooks · doi:10.1183/2312508x.10021123
Self-citationRodríguez, A., Ruíz-Botella, M., Martín‐Loeches, I., Jimenez Herrera, M., Solé‐Violán, J., Gómez, J., Bodí, M., Trefler, S., Papiol, E., Dı́az, E., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14037836
Introduction to Precision Medicine and Personalized Therapies in Health and Diseases
Sarkar, M., & Borah, R. (2025) · Interdisciplinary biotechnological advances · doi:10.1007/978-981-95-2104-3_1
Computational proteomics to enhance personalized treatment of COVID-19 and Long COVID
Sahu, D., Nynatten, L. R. V., Tweddell, D., Daley, M., & Fraser, D. D. (2026) · Clinical Proteomics · doi:10.1186/s12014-026-09601-8
- Authors
- Garcia-Vidal, C., Moreno-García, E., Hernández-Meneses, M., Puerta-Alcalde, P., Chumbita, M., Garcia-Pouton, N., Linares, L., Rico, V., Cardozo, C., Martínez, J. A., García, F., Mensa, J., Castro, P., Nicolás, J. M., Muñoz, J., Vidal, D., Soriano, A., COVID19-Researchers, Bodro, M., Morata, L., Ambrosioni, J., Agüero, D., Torres, B., González, A., De la Mora, L., Linares, L., Meira, F., Macaya, I., Rodriguez, N., Nicolas, D., Albiach, L., Almuedo, A., Angeles Marcos, M., Angeles Marcos, M., Fernandez-Pittol, M., Fidalgo, B., Camprubí, D., Cilloniz, C., Torres, A., Tellez, A., Fernández, S., Sanjuan, G., Cano, P., & Caellas, D.
- Affiliations
- Department of Infectious Diseases, Hospital Clinic of Barcelona, Barcelona, Spain
- Hospital Clínic de Barcelona (ES)
- Medical Intensive Care Unit, Hospital Clinic, IDIBAPS, Barcelona University, Barcelona, Spain
- Center for Research in International Health (CRESIB), Hospital Clinic, University of Barcelona, ISGLOBAL, Barcelona, Spain
- ORCID
- Venue
- Clinical Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-07-10
- Volume
- 74
- Issue
- 1
- Pages
- 127-132
- ISSN
- 1058-4838 (ISSN-L)
- 1537-6591
- PMC
- PMC7454444
- OpenAlex
- W3041820533
- Cited by
- 48
- References
- 12
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 4 · 2022: 9 · 2021: 21 · 2020: 6
- FWCI
- 1.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Clinical Infectious Diseases (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- TECNALIA Publications (Fundación TECNALIA Research & Innovation) (submittedVersion, public-domain)
- Funders
- AGAUR (2017SGR1432)
- European Institute of Innovation and Technology
- European Regional Development Fund (CM18/00132, FI19/00133, PI18/01061, FIS PI18/01061)
- Ministerio de Sanidad y Consumo, Instituto de Salud Carlos III
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Respiratory Support and Mechanisms
- Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
- Keywords
- COVID-19 pandemic, hospitalized patients, personalized treatment, mortality, respiratory symptoms, co-infection, thrombosis, inflammatory complications, age, treatment decision-making
- MeSH terms
- COVID-19, SARS-CoV-2, Hospitalization, Humans, Odds Ratio
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
