Blood lactate concentration in COVID-19: a systematic literature review
Open accessAbstract
Coronavirus disease 2019 (COVID-19) is an infectious respiratory condition sustained by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which manifests prevalently as mild to moderate respiratory tract infection. Nevertheless, in a number of cases the clinical course may deteriorate, with onset of end organ injury, systemic dysfunction, thrombosis and ischemia. Given the clinical picture, baseline assessment and serial monitoring of blood lactate concentration may be conceivably useful in COVID-19. We hence performed a systematic literature review to explore the possible association between increased blood lactate levels, disease severity and mortality in COVID-19 patients, including comparison of lactate values between COVID-19 and non-COVID-19 patients. We carried out an electronic search in Medline and Scopus, using the keywords “COVID-19” OR “SARS-CoV-2” AND “lactate” OR “lactic acid” OR “hyperlactatemia”, between 2019 and present time (i.e. October 10, 2021), which allowed to identify 19 studies, totalling 6,459 patients. Overall, we found that COVID-19 patients with worse outcome tend to display higher lactate values than those with better outcome, although most COVID-19 patients in the studies included in our analysis did not have sustained baseline hyperlactatemia. Substantially elevated lactate values were neither consistently present in all COVID-19 patients who developed unfavourable clinical outcomes. These findings suggest that blood lactate monitoring upon admission and throughout hospitalization may be useful for early identification of higher risk of unfavourable COVID-19 illness progression, though therapeutic decisions based on using conventional hyperlactatemia cut-off values (i.e., 2.0 mmol/L) upon first evaluation may be inappropriate in patients with SARS-CoV-2 infection.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Interpretation of LDH results may be difficult in COVID-19 patients, as both lactate and LDH were also found to be independent risk factors of severe forms of COVID-19.
“However, interpretation of the results may be difficult in COVID-19 patients, as both lactate and LDH were also found to be independent risk factors of severe forms of COVID-19 [57,58].”
From Acute mesenteric ischemia in COVID-19 patients (2021) · cites this paper as [58]
Cites
Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021
Evans, L., Rhodes, A., Alhazzani, W., Antonelli, M., Coopersmith, C. M., French, C., Machado, F. R., Mcintyre, L., Ostermann, M., Prescott, H. C., et al. (2021) · Intensive Care Medicine · doi:10.1007/s00134-021-06506-y · Cited by 5,082 · see citing works
Lactate as a fulcrum of metabolism
Brooks, G. A. (2020) · Redox Biology · doi:10.1016/j.redox.2020.101454 · Cited by 724 · see citing works
Excess Lactate: An Index of Reversibility of Shock in Human Patients
Broder, G., & Weil, M. H. (1964) · Science · doi:10.1126/science.143.3613.1457 · Cited by 524 · see citing works
Lactate and shock state: The metabolic view.
Levy, B. (2006) · Current Opinion in Critical Care · doi:10.1097/01.ccx.0000235208.77450.15 · Cited by 422 · see citing works
Wendel‐Garcia, P. D., Fumeaux, T., Guerci, P., Heuberger, D. M., Montomoli, J., Roche‐Campo, F., Schuepbach, R. A., Hilty, M. P., Alfaro-Farias, M., Margarit, A., et al. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100449 · Cited by 218 · see citing works
Coronavirus disease 2019 (COVID-19): the portrait of a perfect storm
Lippi, G., Sanchis‐Gomar, F., & Henry, B. M. (2020) · Annals of Translational Medicine · doi:10.21037/atm.2020.03.157 · Cited by 189 · see citing works
Self-citationUnderstanding Lactatemia in Human Sepsis. Potential Impact for Early Management
Gattinoni, L., Vasques, F., Camporota, L., Meessen, J. M. T. A., Romitti, F., Pasticci, I., Duscio, E., Vassalli, F., Forni, L. G., Payen, D. M., et al. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201812-2342oc · Cited by 183 · see citing works
Alharthy, A. M., Aletreby, W., Faqihi, F. A., Balhamar, A., Alaklobi, F., Alanezi, K., Jaganathan, P. P., Tamim, H., Alqahtani, S. A., Karakitsos, D., et al. (2020) · Journal of Epidemiology and Global Health · doi:10.2991/jegh.k.200928.001 · Cited by 133 · see citing works
COVID-19: unravelling the clinical progression of nature’s virtually perfect biological weapon
Lippi, G., Sanchis‐Gomar, F., & Henry, B. M. (2020) · Annals of Translational Medicine · doi:10.21037/atm-20-3989 · Cited by 112 · see citing works
Self-citationCoronavirus Disease 2019–Associated Coagulopathy
Lippi, G., Sanchis‐Gomar, F., Favaloro, E. J., Lavie, C. J., & Henry, B. M. (2020) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2020.10.031 · Cited by 110 · see citing works
Self-citationPan, J., Peng, M., Liao, C., Hu, X., Wang, A., & Li, X. (2019) · Medicine · doi:10.1097/md.0000000000014453 · Cited by 107 · see citing works
Abnormal immunity of non-survivors with COVID-19: predictors for mortality
Zhao, Y., Nie, H., Hu, K., Wu, X., Zhang, Y., Wang, M. E., Wang, T., Zheng, Z., Li, X., & Zeng, S. (2020) · Infectious Diseases of Poverty · doi:10.1186/s40249-020-00723-1 · Cited by 106 · see citing works
Rizk, J. G., Forthal, D. N., Kalantar‐Zadeh, K., Mehra, M. R., Lavie, C. J., Rizk, Y., Pfeiffer, J. P., & Lewin, J. C. (2020) · Drug Discovery Today · doi:10.1016/j.drudis.2020.11.025 · Cited by 82 · see citing works
Self-citationDeterminants of in-hospital mortality in COVID-19; a prospective cohort study from Pakistan
Sarfaraz, S., Shaikh, Q., Saleem, S. G., Rahim, A., Herekar, F. F., Junejo, S., & Hussain, A. N. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251754 · Cited by 56 · see citing works
Shi, R., Lai, C., Teboul, J., Dres, M., Moretto, F., Vita, N. D., Pham, T. O., Bonny, V., Mayaux, J., Vaschetto, R., et al. (2021) · Critical Care · doi:10.1186/s13054-021-03594-6 · Cited by 52 · see citing works
Yang, P., Ding, Y., Xu, Z., Pu, R., Li, P., Jin, Y., Liu, J., Meng, F., Huang, L., Shi, L., et al. (2020) · Infectious Diseases of Poverty · doi:10.1186/s40249-020-00780-6 · Cited by 46 · see citing works
Zhang, L., Li, J., Zhou, M., & Chen, Z. (2020) · Journal of Anesthesia · doi:10.1007/s00540-020-02778-8 · Cited by 44 · see citing works
Bruno, R. R., Wernly, B., Flaatten, H. K., Fjølner, J., Artigas, A., Pinto, B. B., Schefold, J. C., Binnebößel, S., Baldia, P. H., Kelm, M., et al. (2021) · PubMed Central · doi:10.1186/s13613-021-00911-8 · Cited by 43 · see citing works
Chen, S.-L., Feng, H.-Y., Xu, H., Huang, S.-S., Sun, J.-F., Zhou, L., He, J.-L., Song, W., Wang, R.-J., Li, X., et al. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.567296 · Cited by 41 · see citing works
Hoechter, D. J., Becker-Pennrich, A., Langrehr, J., Bruegel, M., Zwißler, B., Schaefer, S., Spannagl, M., Hinske, L. C., & Zöller, M. (2020) · Thrombosis Research · doi:10.1016/j.thromres.2020.08.030 · Cited by 40 · see citing works
Lardaro, T., Wang, A. Z., Bucca, A. W., Croft, A., Glober, N., Holt, D. B., Musey, P. I., Peterson, K., Trigonis, R. A., Schaffer, J. T., et al. (2021) · Journal of Medical Virology · doi:10.1002/jmv.26795 · Cited by 38 · see citing works
Vassiliou, A. G., Jahaj, E., Ilias, Ι., Markaki, V., Malachias, S., Vrettou, C. S., Ischaki, E., Mastora, Z., Douka, E., Keskinidou, C., et al. (2020) · Metabolites · doi:10.3390/metabo10100386 · Cited by 37 · see citing works
Longitudinal Monitoring of Lactate in Hospitalized and Ambulatory COVID-19 Patients
Velavan, T. P., Linh, L. T. K., Kreidenweiss, A., Gabor, J. J., Krishna, S., & Kremsner, P. G. (2021) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.20-1282 · Cited by 34 · see citing works
Benedetti, I., Spinelli, D., Callegari, T., Bonometti, R., Molinaro, E., Novara, E., Cassinari, M., Frino, C., Guaschino, R., Boverio, R., et al. (2021) · PubMed · doi:10.26355/eurrev_202102_24885 · Cited by 19 · see citing works
Birben, B., Birben, Ö. D., Akın, T., Akkurt, G., Sürel, A. A., Çakır, E. Y., & Erdem, D. (2020) · International Journal of Clinical Practice · doi:10.1111/ijcp.13970 · Cited by 18 · see citing works
Propofol infusion syndrome in severe COVID-19
Lucchetta, V., Bonvicini, D., Ballin, A., & Tiberio, I. (2020) · British Journal of Anaesthesia · doi:10.1016/j.bja.2020.08.020 · Cited by 15 · see citing works
Sepsis in severe COVID-19 is rarely septic shock: a retrospective single-centre cohort study
Arina, P., Moro, V., Baso, B., Baxter-Derrington, C., & Singer, M. (2021) · British Journal of Anaesthesia · doi:10.1016/j.bja.2021.08.007 · Cited by 15 · see citing works
Metformin use amid coronavirus disease 2019 pandemic
Kow, C. S., & Hasan, S. S. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26090 · Cited by 14 · see citing works
Impact of Chronic RAAS Use in Elderly COVID-19 Patients: A Retrospective Analysis
Oliveira, J. P., Gameiro, J., Bernardo, J., Marques, F. C., Costa, C., Branco, C., Duarte, I., Fonseca, J. A., Carreiro, C., Bráz, S., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10143147 · Cited by 6 · see citing works
Prognostic value of blood gas lactate levels among COVID-19 patients
Ak, R., & Hökenek, N. M. (2021) · Journal of Clinical Medicine of Kazakhstan · doi:10.23950/jcmk/11130 · Cited by 6 · see citing works
Saving critically ill COVID-19 patients with mechanical circulatory support
Li, R., Hu, S., Chen, P., Jiang, J., Cui, G., & Wang, D. W. (2021) · Annals of Translational Medicine · doi:10.21037/atm-20-5169 · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Chen, P., Wu, M., He, Y., Jiang, B., & He, M. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01510-8 · Cited by 83 · see citing works
Ahmed, N., Mahmood, M. S., Ullah, M. A., Araf, Y., Rahaman, T. I., Moin, A. T., & Hosen, M. J. (2022) · Current Microbiology · doi:10.1007/s00284-022-02824-6 · Cited by 79 · see citing works
Kell, D. B., & Pretorius, E. (2022) · Biochemical Journal · doi:10.1042/bcj20220154 · Cited by 68 · see citing works
Acute mesenteric ischemia in COVID-19 patients
Serban, D., Tribus, L. C., Vancea, G., Stoian, A. P., Dascalu, A. M., Suceveanu, A. I., Tanasescu, C., Costea, A. C., Tudosie, M. S., Tudor, C., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm11010200 · Cited by 46 · see citing works
Mitochondrial oxidative stress, mitochondrial ROS storms in long COVID pathogenesis
Noonong, K., Chatatikun, M., Surinkaew, S., Kotepui, M., Hossain, R., Bunluepuech, K., Noothong, C., Tedasen, A., Klangbud, W. K., Imai, M., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1275001 · Cited by 42 · see citing works
Biomarkers during COVID-19: Mechanisms of Change and Implications for Patient Outcomes
Chen, C., Lin, S.-W., Shen, C., Hsieh, K., & Cheng, C. (2022) · Diagnostics · doi:10.3390/diagnostics12020509 · Cited by 41 · see citing works
SARS-CoV-2-associated lymphopenia: possible mechanisms and the role of CD147
Shouman, S., Elkholy, N., Hussien, A. E., El-Derby, A. M., Magdy, S., Abou‐Shanab, A. M., Elmehrath, A. O., Abdelwaly, A., Helal, M. A., & El‐Badri, N. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01718-3 · Cited by 44 · see citing works
Berezhnoy, G., Bissinger, R., Liu, A., Cannet, C., Schäfer, H., Kienzle, K., Bitzer, M., Haeberle, H. A., Göpel, S., Trautwein, C., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1144224 · Cited by 38 · see citing works
Inflammatory biomarkers to predict the prognosis of acute bacterial and viral infections
de Nooijer, A., Pickkers, P., Netea, M. G., & Kox, M. (2023) · Journal of Critical Care · doi:10.1016/j.jcrc.2023.154360 · Cited by 35 · see citing works
Xu, J., Wang, M., Li, M., Yang, J., & Yang, L. (2023) · Analytica Chimica Acta · doi:10.1016/j.aca.2023.341834 · Cited by 29 · see citing works
COVID-19-associated fungal infections in Iran: A systematic review
Nazari, T., Sadeghi, F., Izadi, A., Sameni, S., & Mahmoudi, S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271333 · Cited by 25 · see citing works
Kell, D. B., Khan, A., Kane, B., Lip, G. Y. H., & Pretorius, E. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14020170 · Cited by 23 · see citing works
Ghosh, A., Fathima, T. K. S., & Ramaprabhu, S. (2022) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ac7084 · Cited by 20 · see citing works
Wu, D., Shen, S., & Luo, D. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1198741 · Cited by 20 · see citing works
The ChoCO-W prospective observational global study: Does COVID-19 increase gangrenous cholecystitis?
de Simone, B. D., Abu‐Zidan, F. M., Chouillard, E. K., Saverio, S. D., Sartelli, M., Podda, M., Gomes, C. A., Moore, E. E., Moug, S. J., Ansaloni, L., et al. (2022) · World Journal of Emergency Surgery · doi:10.1186/s13017-022-00466-4 · Cited by 19 · see citing works
Xie, H., Mao, X., & Wang, Z. (2024) · Frontiers in Physiology · doi:10.3389/fphys.2024.1451464 · Cited by 23 · see citing works
Özkan, A. (2023) · Disaster Medicine and Public Health Preparedness · doi:10.1017/dmp.2022.299 · Cited by 16 · see citing works
To Anticoagulate or Not to Anticoagulate in COVID-19: Lessons after 2 Years
Rizk, J. G., Gupta, A. A., Lazo, J. G., Sardar, P., Henry, B. M., Lavie, C. J., & Effron, M. B. (2022) · Seminars in Thrombosis and Hemostasis · doi:10.1055/s-0042-1744302 · Cited by 16 · see citing works
Self-citationCirculating pyruvate is a potent prognostic marker for critical COVID-19 outcomes
Ceperuelo‐Mallafré, V., Reverté, L., Peraire, J., Madeira, A., Maymó‐Masip, E., López-Dupla, M., Gutiérrez‐Valencia, A., Ruíz-Mateos, E., Buzón, M. J., Jorba, R., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.912579 · Cited by 15 · see citing works
SARS-CoV-2 N protein mediates intercellular nucleic acid dispersion, a feature reduced in Omicron
Wu, J.-L., Kuan, I., Guo, J.-Y., Hsu, W.-C., Tang, W., Chan, H., Chen, Y., Chen, B., Wu, H., & Liao, J. C. (2023) · iScience · doi:10.1016/j.isci.2023.105995 · Cited by 15 · see citing works
Plasma Metabolome Alterations Discriminate between COVID-19 and Non-COVID-19 Pneumonia
More, T. H., Mozafari, B., Märtens, A., Herr, C., Lepper, P. M., Danziger, G., Volk, T. J., Hörsch, S. I., Krawczyk, M. J., Guenther, K., et al. (2022) · Metabolites · doi:10.3390/metabo12111058 · Cited by 13 · see citing works
Routsi, C., Kokkoris, S., Gkoufa, A., Katsaros, D., Karageorgiou, S., Kavallieratos, F., Tsilivarakis, D., Dimopoulou, G., Theodorou, E., Kotanidou, Α., et al. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13237106 · Cited by 12 · see citing works
A metabolic blueprint of COVID-19 and long-term vaccine efficacy
Berber, E., Sumbria, D., & Kökkaya, S. (2022) · Drug Metabolism and Personalized Therapy · doi:10.1515/dmpt-2022-0148 · Cited by 8 · see citing works
Costantini, S., Madonna, G., Gennaro, E. D., Capone, F., Bagnara, P., Capone, M., Sale, S., Nicastro, C., Atripaldi, L., Fiorentino, G., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24054922 · Cited by 8 · see citing works
Prevalence and predictors of outcomes among ESRD patients with COVID-19
Baptiste, C., Adegbulugbe, E., Shankaranarayanan, D., Izzi, Z., Patel, S. S., Nakity, R., AMDUR, R. L., & Raj, D. (2023) · BMC Nephrology · doi:10.1186/s12882-023-03121-5 · Cited by 8 · see citing works
Cobre, A. D. F., Alves, A. C., Gotine, A. R. M., Domingues, K. Z. A., Lazo, R. E. L., Ferreira, L. M., Tonin, F. S., & Pontarolo, R. (2024) · Internal and Emergency Medicine · doi:10.1007/s11739-024-03547-1 · Cited by 7 · see citing works
Liu, F., Yang, H., Yang, T., Zhang, Z., Guan, L., Gao, L., Ma, H., Zhang, H., Song, N., Tong, Z., et al. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05342-0 · Cited by 7 · see citing works
Lactate Is a Strong Predictor of Poor Outcomes in Patients with Severe Traumatic Brain Injury
Sharma, B., Jiang, W., Dhole, Y. V., Agriantonis, G., Bhatia, N. D., Shafaee, Z., Twelker, K., & Harris, J. W. (2024) · Biomedicines · doi:10.3390/biomedicines12122778 · Cited by 7 · see citing works
Trebuian, C. I., Brici, O. M., Șutoi, D., Popa, D. I., Chioibas, D. R., & Mederle, O. A. (2024) · Clinics and Practice · doi:10.3390/clinpract14030065 · Cited by 7 · see citing works
Toxicity of the spike protein of COVID-19 is a redox shift phenomenon: A novel therapeutic approach
Schwartz, L. H., Aparicio-Alonso, M., Henry, M., Radman, M., Attal, R., & Bakkar, A. (2023) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2023.05.034 · Cited by 6 · see citing works
Aging mitochondria in the context of SARS-CoV-2: exploring interactions and implications
Delpino, M. V., & Quarleri, J. F. (2024) · Frontiers in Aging · doi:10.3389/fragi.2024.1442323 · Cited by 5 · see citing works
Mohamed, F., Prim, B. A., Zamparini, J. M., Millen, A. M. E., Raal, F. J., & Kalla, I. (2024) · BMJ Public Health · doi:10.1136/bmjph-2024-001291 · Cited by 5 · see citing works
Associations between metabolomic scores and clinical outcomes in hospitalized COVID-19 patients
Venema, J. A., Kuranova, A., Bizzarri, D., Mooijaart, S. P., Kerckhoffs, A. P. M., Slieker, K., Abbink, E. J., Polinder‐Bos, H. A., Slagboom, P. E., Peeters, G. M. E. E., et al. (2025) · GeroScience · doi:10.1007/s11357-025-01591-z · Cited by 4 · see citing works
Real‐Time Lactate Detection in A Dynamic Environment Using Micrsensing Needles
Tang, Y., Huang, T., Yang, T., Cheng, H., Cheng, Y., Tsai, H., Lo, Y., & Chen, Y. (2024) · Advanced Sensor Research · doi:10.1002/adsr.202400089 · Cited by 4 · see citing works
Liang, Z., Zheng, X., Wang, Y., Chu, K., & Gao, Y. (2023) · Functional & Integrative Genomics · doi:10.1007/s10142-023-01091-3 · Cited by 4 · see citing works
Zahornacký, O., Rovňáková, A., Šurimová, M., Porubčin, Š., & Jarčuška, P. (2024) · Microorganisms · doi:10.3390/microorganisms12051032 · Cited by 4 · see citing works
Insights on Covid‐19 with superimposed pulmonary histoplasmosis: The possible nexus
Almutawif, Y. A., Al-Kuraishy, H. M., Al-Gareeb, A. I., Alexiou, A. T., Papadakis, M., Eid, H. M. A., Saad, . M., & Batiha, G. E. (2023) · Immunity Inflammation and Disease · doi:10.1002/iid3.989 · Cited by 3 · see citing works
Metabolic Shift and Hyperosmolarity Underlie Age-Related Macular Degeneration
Schwartz, L. H., Schwartz, J., Hnery, M., & Bakkar, A. (2024) · Life · doi:10.3390/life14091189 · Cited by 2 · see citing works
Yasseen, B. A., Elkhodiry, A. A., El-sayed, H., Zidan, M. F., Kamel, A. G., Badawy, M. A., Hamza, M. S., Elmessiery, R. M., Ansary, M. E., Abdel‐Rahman, E. A., et al. (2025) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2024.1510592 · Cited by 2 · see citing works
Alshammary, A. F., AlQarni, H. M., Farzan, R. A., Khan, I. A., & Vennu, V. S. (2023) · The Clinical Respiratory Journal · doi:10.1111/crj.13628 · Cited by 2 · see citing works
NMR-Metabolomics in COVID-19 Research
Pontes, J. G. D. M., Santos, R. V. D., & Tasić, L. (2023) · Advances in experimental medicine and biology · doi:10.1007/978-3-031-28012-2_10 · Cited by 2 · see citing works
Hashemian, S. M., Jafari, A., Khoundabi, B., Jamaati, H., & Rahimi, P. (2025) · Health Science Reports · doi:10.1002/hsr2.70571 · Cited by 3 · see citing works
Ebrahimi, P., Fallah, F., Pakdaman, K., Shirafkan, H., & Abedi, S. H. (2024) · Coronaviruses · doi:10.2174/0126667975294439240407154234 · Cited by 2 · see citing works
Prognostic value of systemic immune-inflammatory index in hospitalized adolescent COVID-19 patients
Çağlar, H. T., Pekcan, S., Ünal, G., Ercan, F., Yılmaz, A. İ., Akcan, Ö. M., Gençeli, M., Özdemir, M., Ayman, F. N., Savaş, S., et al. (2025) · Genel Tıp Dergisi · doi:10.54005/geneltip.1544462 · Cited by 1 · see citing works
Takeuchi, S., Kawamoto, E., Matsusaki, T., Ono, D., Sakakura, Y., Gaowa, A., Park, E. J., Shimaoka, M., & Kaku, R. (2026) · Journal of Intensive Care · doi:10.1186/s40560-025-00846-3 · Cited by 1 · see citing works
Sodré, M. M. D., dos Santos, U. R., Povoas, H. P., Guzmán, J. L. D., Junqueira, C., Trindade, T. O., Gadelha, S. R., Romano, C. C., da Conceição, A. O., Gross, E., et al. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1241444 · Cited by 1 · see citing works
Pulgar-Sánchez, M., Chamorro, K., Casella, C., & Ballaz, S. (2024) · Biomarkers in Medicine · doi:10.1080/17520363.2024.2395800 · Cited by 1 · see citing works
Lira-Álvarez, M. D. L. C., Iribarren-Moreno, R., Salmeán-Piña, Ó. E., Contreras-Bulnes, L., & Vélez-Benítez, E. (2022) · Cirugía Plástica · doi:10.35366/106104 · Cited by 1 · see citing works
Yasseen, B. A., Elkhodiry, A. A., El-sayed, H., Zidan, M. F., Kamel, A. G., Hamdy, R., El-Shqnqery, H. E., Samir, O., Sayed, A. A., Badawy, M. A., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.17.558185 · Cited by 1 · see citing works
Clinical Chemistry Laboratory Medicine in the post-acute COVID-19 era
Lippi, G., & Plebani, M. (2024) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2024-0756 · Cited by 1 · see citing works
Self-citationLONG-COVID: AN OUTCOME OF MITOCHONDRIAL DYSFUNCTION (A BRIEF NARRATIVE REVIEW)
Razdan, K., & Raina, V. (2022) · INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH · doi:10.36106/ijsr/3200814
SOARES, T. H. M., de Moraes, N. H. L., Soares, K. P. N. D., CARVALHO, M. M., Holanda, A. S. D. S., RODRIGUES, L. F. S., Silva, M., & Carvalho, P. R. C. (2024) · Anais da Academia Brasileira de Ciências · doi:10.1590/0001-3765202420231355
Jiang, X., Hu, J., Jiang, Q., Zhou, T., Yao, F., Sun, Y., Zhou, C., Ma, Q., Zhao, J., Shi, K., et al. (2024) · Journal of Applied Clinical Medical Physics · doi:10.1002/acm2.14562
Trikole, A. I. (2024) · Clinical nutrition and metabolism · doi:10.17816/clinutr636872
Takeuchi, S., Kawamoto, E., Matsusaki, T., Ono, D., Sakakura, Y., Gaowa, A., Park, E. J., Shimaoka, M., & Kaku, R. (2025) · Research Square · doi:10.21203/rs.3.rs-7521856/v1
Pathogenetic Predictors of Complications of the New Coronavirus Infection SARS-COV-2
Chepur, S. V., Nn, P., Chubar, O. V., Сергеевна, Б. Л., Litvinenko, I., Tjunin, M. A., Mjasnikova, I. A., & Пугач, В. А. (2025) · Biology Bulletin Reviews · doi:10.1134/s2079086425600110
CLINICAL AND LABORATORY PREDICTORS OF EARLY IN-HOSPITAL SURVIVAL IN SEVERE COVID-19
Budnevsky, A. V., Arkhipova, E. D., Шишкина, В. В., Chernik, T. A., & Михайловна, П. И. (2025) · Medical Scientific Bulletin of Central Chernozemye (Naučno-medicinskij vestnik Centralʹnogo Černozemʹâ) · doi:10.18499/1990-472x-2025-26-2-30-37
Additional file 1 of Prevalence and predictors of outcomes among ESRD patients with COVID-19
Baptiste, C. S., Adegbulugbe, E., Shankaranarayanan, D., Izzi, Z., Patel, S., Nakity, R., Amdur, R. L., & Raj, D. (2024) · Figshare · doi:10.6084/m9.figshare.26577062
Liu, F., Yang, H., Yang, T., Zhang, Z. T., Guan, L., Gao, L., Ma, H., Zhang, H., Song, N., Tong, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26743328
Liu, F., Yang, H., Yang, T., Zhang, Z. T., Guan, L., Gao, L., Ma, H., Zhang, H., Song, N., Tong, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26743325
Liu, F., Yang, H., Yang, T., Zhang, Z. T., Guan, L., Gao, L., Ma, H., Zhang, H., Song, N., Tong, Z. H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26182335
Liu, F., Yang, H., Yang, T., Zhang, Z., Guan, L., Gao, L., Ma, H., Zhang, H., Song, N., Tong, Z. H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26743319
Liu, F., Yang, H., Yang, T., Zhang, Z., Guan, L., Gao, L., Ma, H., Zhang, H., Song, N., Tong, Z. H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26743331
Liu, F., Yang, H., Yang, T., Zhang, Z. T., Guan, L., Gao, L., Ma, H., Zhang, H., Song, N., Tong, Z. H., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26743322
Liu, F., Yang, H., Yang, T., Zhang, Z., Guan, L., Gao, L., Ma, H., Zhang, H., Song, N., Tong, Z., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26182250
Zhang, T., & Zhang, Z. (2026) · Microchemical Journal · doi:10.1016/j.microc.2026.117691
Martínez, F. P., Alvarado, E. R., Ehrenfeld, F. S., Sandoval, V., Madrid, A. L., & Martínez-Huenchullán, S. (2026) · Fisioterapia · doi:10.1016/j.ft.2026.03.008
Qi, W., Ding, C., Tu, H., Yang, L., Cao, L., Yan, C., Chen, Z., & Sun, H. (2026) · Respiratory Medicine · doi:10.1016/j.rmed.2026.108891
Mukansi, M., Steel, H. C., Rossouw, T. M., Kalla, I., Menezes, C., Nieuwoudt, M., Anderson, R., & Feldman, C. H. (2026) · Pathogens · doi:10.3390/pathogens15070676
- Authors
- Carpenè, G., Onorato, D., Nocini, R., Fortunato, G., Rizk, J. G., Henry, B. M., & Lippi, G.
- Affiliations
- University of Verona (IT)
- Arizona State University (US)
- Cincinnati Children's Hospital Medical Center (US)
- Corresponding author
- Lippi, Giuseppe
- Venue
- Clinical Chemistry and Laboratory Medicine (CCLM)
- Publisher
- Walter de Gruyter GmbH
- Published
- 2021-12-02
- Volume
- 60
- Issue
- 3
- Pages
- 332-337
- ISSN
- 1434-6621 (ISSN-L)
- 1437-4331
- OpenAlex
- W3216188313
- Cited by
- 68
- References
- 31
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 26 · 2023: 17 · 2022: 12 · 2021: 1
- FWCI
- 1.70
- Type
- journal article
- Language
- en
- Open access
- Licence
- other-oa
- Locations
- Clinical Chemistry and Laboratory Medicine (CCLM) (publishedVersion)
- PubMed (publishedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, other-oa)
- Zenodo (CERN European Organization for Nuclear Research) (other-oa)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
- Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
- Keywords
- COVID-19 pandemic, SARS-CoV-2, blood lactate, hyperlactatemia, disease severity, mortality, lactate monitoring, prognostic factors, cut-off values
- MeSH terms
- COVID-19, SARS-CoV-2, Hospitalization, Humans, Lactic Acid, Hyperlactatemia
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