Clinical Profiles in Renal Patients with COVID-19
Abstract
:1. Introduction
2. Materials and Methods
2.1. Patients and COVID-19 Diagnosis
2.2. SARS-CoV-2 Testing
2.3. Statistical Analysis
3. Results
3.1. Patients
3.2. Comparison between COVID-19 Confirmed and Non-Confirmed Cases
3.3. Comparison of Pneumonia due to COVID-19 and Other Pneumonias
3.4. Comparison of Confirmed vs. Suspected COVID-19 in Kidney Transplant Recipients
3.5. Comparison of Confirmed vs. Suspected COVID-19 in Hemodialysis Patients
4. Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Statement on the Second Meeting of the International Health Regulations (2005) Emergency Committee Regarding the Outbreak of Novel Coronavirus (2019-nCoV). Available online: https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov) (accessed on 13 March 2020).
- WHO Director-General’s Opening Remarks at the Media Briefing on COVID-19—11 March 2020. Available online: https://www.who.int/dg/speeches/detail/6 (accessed on 13 March 2020).
- Informe n° 21. Situación de COVID-19 en España a 13 de Marzo de 2020. Equipo COVID-19. RENAVE. CNE. CNM (ISCIII). Available online: https://www.isciii.es/ (accessed on 13 March 2020).
- Actualización n° 108. Enfermedad por Coronavirus (COVID 19) 17.05.2020. Situación en España. Centro de Coordinación de Alertas y Emergencias Sanitarias. Available online: https://www.mscbs.gob.es/profesionales/saludPublica/ccayes/alertasActual/nCov-China/documentos/Actualizacion_108_COVID-19.pdf (accessed on 13 March 2020).
- Richardson, S.; Hirsch, J.S.; Narasimhan, M.; Crawford, J.M.; McGinn, T.; Davidson, K.W.; Cookingham, J. Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. JAMA 2020, 323, 2052–2059. [Google Scholar]
- Rodriguez-Morales, A.J.; Cardona-Ospina, J.A.; Gutiérrez-Ocampo, E.; Villamizar-Peña, R.; Holguin-Rivera, Y.; Escalera-Antezana, J.P.; Alvarado-Arnez, L.E.; Bonilla-Aldana, D.K.; Franco-Paredes, C.; Henao-Martinez, A.F.; et al. Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis. Travel Med. Infect. Dis. 2020, 34, 101623. [Google Scholar] [CrossRef]
- Viasus, D.; Garcia-Vidal, C.; Cruzado, J.M.; Adamuz, J.; Verdaguer, R.; Manresa, F.; Carratala, J. Epidemiology, clinical features and outcomes of pneumonia in patients with chronic kidney disease. Nephrol. Dial. Transplant. 2011, 26, 2899–2906. [Google Scholar]
- Slinin, Y.; Foley, R.N.; Collins, A.J. Clinical epidemiology of pneumonia in hemodialysis patients: The USRDS waves 1, 3, and 4 study. Kidney Int. 2006, 70, 1135–1141. [Google Scholar]
- Coates, P.T.; Wong, G.; Drueke, T.; Rovin, B.; Ronco, P. Associate Editors, for the Entire Editorial Team. Early experience with COVID-19 in kidney transplantation. Kidney Int. 2020, 97, 1074–1075. [Google Scholar]
- Albalate, M.; Arribas, P.; Torres, E.; Cintra, M.; Alcázar, R.; Puerta, M.; Fernandez, I. High prevalence of asymptomatic COVID-19 in haemodialysis: Learning day by day in the first month of the COVID-19 pandemic. Nefrologia 2020. [Google Scholar] [CrossRef]
- Goicoechea, M.; Cámara, L.A.S.; Macías, N.; de Morales, A.M.; Rojas, Á.G.; Bascuñana, A.; Prieto, A.M.G. COVID-19: Clinical course and outcomes of 36 maintenance hemodialysis patients from a single center in Spain. Kidney Int. 2020. [Google Scholar] [CrossRef]
- Degli-Angeli, E.; Dragavon, J.; Huang, M.L.; Lucic, D.; Cloherty, G.; Jerome, K.R.; Greninger, A.L.; Coombs, R.W. Validation and verification of the Abbott RealTime SARS-CoV-2 assay analytical and clinical performance. J. Clin. Virol. 2020. [Google Scholar] [CrossRef]
- Trujillo, H.; Caravaca-Fontán, F.; Sevillano, Á.; Gutiérrez, E.; Caro, J.; Gutiérrez, E.; Praga, M. SARS-CoV-2 Infection in Hospitalized Patients with Kidney Disease. Kidney Int. Rep. 2020. [Google Scholar] [CrossRef]
- Alberici, F.; Delbarba, E.; Manenti, C.; Econimo, L.; Valerio, F.; Pola, A.; Terlizzi, V. A report from the Brescia Renal COVID Task Force on the clinical characteristics and short-term outcome of hemodialysis patients with SARS-CoV-2 infection. Kidney Int. 2020. [Google Scholar] [CrossRef]
- Emilio Sanchez-Alvarez, J.; Perez Fontan, M.; Jimenez Martin, C.; Blasco Pelicano, M.; Cabezas Reina, C.J.; Sevillano Prieto, A.M.; del Pino y Pino, M.D. SARS-CoV-2 infection in patients on renal replacement therapy. Report of the COVID-19 Registry of the Spanish Society of Nephrology (SEN). Nefrologia 2020, 40, 272–278. [Google Scholar] [CrossRef]
- Arenas, M.D.; Villar, J.; González, C.; Cao, H.; Collado, S.; Crespo, M.; Pascual, J. Management of the SARS-CoV-2 (Covid 19) coronavirus epidemic in hemodialysis units (Manejo de la epidemia por coronavirus SARS-CoV-2 (Covid 19) en unidades de hemodiálisis). Nefrología 2020. [Google Scholar] [CrossRef]
- Alberici, F.; Delbarba, E.; Manenti, C.; Econimo, L.; Valerio, F.; Pola, A.; Venturini, M. A single center observational study of the clinical characteristics and short-term outcome of 20 kidney transplant patients admitted for SARS-CoV2 pneumonia. Kidney Int. 2020, 97, 1083–1088. [Google Scholar]
- Crespo, M.; José Pérez-Sáez, M.; Redondo-Pachón, D.; Llinàs-Mallol, L.; Montero, M.M.; Villar, J.; López, T. COVID-19 in elderly kidney transplant recipients. Am. J. Transplant. 2020. [Google Scholar] [CrossRef]
- Gandolfini, I.; Delsante, M.; Fiaccadori, E.; Zaza, G.; Manenti, L.; Degli Antoni, A.; Maggiore, U. COVID-19 in kidney transplant recipients. Am. J. Transplant. 2020. [Google Scholar] [CrossRef]
- Banerjee, D.; Popoola, J.; Shah, S.; Ster, I.C.; Quan, V.; Phanish, M. COVID-19 infection in kidney transplant recipients. Kidney Int. 2020, 97, 1076–1082. [Google Scholar]
- Fernández-Ruiz, M.; Andrés, A.; Loinaz, C.; Delgado, J.F.; López-Medrano, F.; San Juan, R.; Lumbreras, C. COVID-19 in solid organ transplant recipients: A single-center case series from Spain. Am. J. Transplant. 2020. [Google Scholar] [CrossRef]
- Huang, C.; Wang, Y.; Li, X.; Ren, L.; Zhao, J.; Hu, Y.; Cheng, Z. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020, 395, 497–506. [Google Scholar]
- Onder, G.; Rezza, G.; Brusaferro, S. Case-fatality rate and characteristics of patients dying in relation to COVID-19 in Italy. JAMA 2020. [Google Scholar] [CrossRef]
- Ma, Y.; Diao, B.; Lv, X.; Zhu, J.; Liang, W.; Liu, L.; Shi, M.; Bu, W.; Cheng, H.; Zhang, S.; et al. 2019 novel coronavirus disease in hemodialysis (HD) patients: Report from one HD center in Wuhan, China. medRxiv 2020. [Google Scholar] [CrossRef] [Green Version]
- Xiong, F.; Tang, H.; Liu, L.; Tu, C.; Tian, J.B.; Lei, C.T.; Luo, D. Clinical Characteristics of and Medical Interventions for COVID-19 in Hemodialysis Patients in Wuhan, China. J. Am. Soc. Nephrol. 2020. [Google Scholar] [CrossRef]
- Tong, J.Y.; Wong, A.; Zhu, D.; Fastenberg, J.H.; Tham, T. The Prevalence of Olfactory and Gustatory Dysfunction in COVID-19 Patients: A Systematic Review and Meta-analysis. Otolaryngol. Head Neck Surg. 2020. [Google Scholar] [CrossRef]
- Yoon, S.H.; Lee, K.H.; Kim, J.Y.; Lee, Y.K.; Ko, H.; Kim, K.H.; Kim, Y.H. Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea. Korean J. Radiol. 2020, 21, 494–500. [Google Scholar]
- Zhao, D.; Yao, F.; Wang, L.; Zheng, L.; Gao, Y.; Ye, J.; Gao, R. A comparative study on the clinical features of COVID-19 pneumonia to other pneumonias. Clin. Infect. Dis. 2020, ciaa247. [Google Scholar] [CrossRef] [Green Version]
- Guan, W.J.; Ni, Z.Y.; Hu, Y.; Liang, W.H.; Ou, C.Q.; He, J.X.; Du, B. Clinical Characteristics of Coronavirus Disease 2019 in China. N. Engl. J. Med. 2020. [Google Scholar] [CrossRef]
- Song, F.; Shi, N.; Shan, F.; Zhang, Z.; Shen, J.; Lu, H.; Ling, Y.; Jiang, Y.; Shi, Y. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology 2020, 295, 210–217. [Google Scholar] [CrossRef] [Green Version]
- Li, D.; Wang, D.; Dong, J.; Wang, N.; Huang, H.; Xu, H.; Xia, C. False-Negative Results of Real-Time Reverse-Transcriptase Polymerase Chain Reaction for Severe Acute Respiratory Syndrome Coronavirus 2: Role of Deep-Learning-Based CT Diagnosis and Insights from Two Cases. Korean J. Radiol. 2020, 21, 505–508. [Google Scholar] [CrossRef]
- Zhou, F.; Yu, T.; Du, R.; Fan, G.; Liu, Y.; Liu, Z.; Xiang, J.; Wang, Y.; Song, B.; Gu, X.; et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study. Lancet 2020, 395, 1054–1062. [Google Scholar]
- Wang, D.; Hu, B.; Hu, C.; Zhu, F.; Liu, X.; Zhang, J.; Zhao, Y. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus- infected pneumonia in Wuhan, China. JAMA 2020, 323, 1061–1069. [Google Scholar]
- Wang, Y.; Wang, Y.; Chen, Y.; Qin, Q. Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID-19) implicate special control measures. J. Med. Virol. 2020. [Google Scholar] [CrossRef] [Green Version]
- Alberici, F.; Delbarba, E.; Manenti, C.; Econimo, L.; Valerio, F.; Pola, A.; Focà, E. Management of Patients on Dialysis and with Kidney Transplant during SARS-COV-2 (COVID-19) Pandemic In Brescia, Italy. Kidney Int. Rep. 2020, 5, 580–585. [Google Scholar]
- Mehta, P.; McAuley, D.F.; Brown, M.; Sanchez, E.; Tattersall, R.S.; Manson, J.J. HLH Across Speciality Collaboration, UK. COVID-19: Consider cytokine storm syndromes and immunosuppression. Lancet 2020, 395, 1033–1034. [Google Scholar]
- Bikdeli, B.; Madhavan, M.V.; Jimenez, D.; Chuich, T.; Dreyfus, I.; Driggin, E.; Tang, L.V. COVID-19 and Thrombotic or Thromboembolic Disease: Implications for Prevention, Antithrombotic Therapy, and Follow-up. J. Am. Coll. Cardiol. 2020. [Google Scholar] [CrossRef]
- Grant, W.B.; Lahore, H.; McDonnell, S.L.; Baggerly, C.A.; French, C.B.; Aliano, J.L.; Bhattoa, H.P. Evidence that Vitamin D Supplementation Could Reduce Risk of Influenza and COVID-19 Infections and Deaths. Nutrients 2020, 12, 988. [Google Scholar] [CrossRef] [Green Version]
- Wang, R.; Liao, C.; He, H. COVID-19 in Hemodialysis Patients: A Report of 5 Cases. Am. J. Kidney Dis. 2020, 76, 141–143. [Google Scholar]
- Henry, B.M.; Lippi, G. Chronic kidney disease is associated with severe coronavirus disease 2019 (COVID-19) infection. Int. Urol. Nephrol. 2020. [Google Scholar] [CrossRef] [Green Version]
- Yi, Y.; Lagniton, P.N.; Ye, S.; Li, E.; Xu, R.H. COVID-19: What has been learned and to be learned about the novel coronavirus disease. Int. J. Biol. Sci. 2020, 16, 1753–1766. [Google Scholar]
- Madjid, M.; Safavi-Naeini, P.; Solomon, S.D.; Vardeny, O. Potential effects of coronaviruses on the cardiovascular system: A Review. JAMA Cardiol. 2020, 5, 831–840. [Google Scholar]
- Wölfel, R.; Corman, V.M.; Guggemos, W.; Seilmaier, M.; Zange, S.; Müller, M.A.; Hoelscher, M. Virological assessment of hospitalized patients with COVID-2019. Nature 2020. [Google Scholar] [CrossRef] [Green Version]
- Li, Q.; Guan, X.; Wu, P.; Wang, X.; Zhou, L.; Tong, Y.; Xing, X. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. N. Engl. J. Med. 2020, 382, 1199–1207. [Google Scholar]
- Liu, Y.; Yan, L.M.; Wan, L.; Xiang, T.X.; Le, A.; Liu, J.M.; Zhang, W. Viral dynamics in mild and severe cases of COVID-19. Lancet Infect. Dis. 2020. [Google Scholar] [CrossRef] [Green Version]
COVID-19 Confirmed (n = 34) | COVID-19 Non-Confirmed (n = 27) | p | |
---|---|---|---|
Demographics and profile | |||
Age (years. mean ± Standard deviation (SD)) | 69 ± 10.1 | 62.1 ± 17 | 0.056 |
Age > 65 years (n, %) | 25 (73.5) | 13 (48.1) | 0.042 |
Male Sex (n, %) | 24 (70.6%) | 21 (77.8%) | 0.279 |
Caucasian race (n, %) | 27 (79.4%) | 23 (85.1%) | 0.519 |
Kidney transplantation/Hemodialysis (n) | 26/8 | 14 / 13 | 0.041 |
Comorbidities and treatments | |||
Catheter as vascular access | 1 (2.9%) | 2 (7.4%) | 0.413 |
Current Smoking status (n, %) | 6 (17.6%) | 8 (29.6%) | 0.136 |
Obesity (n, %) | 12 (35.3%) | 4 (14.8%) | 0.064 |
Diabetes mellitus (n, %) | 13 (38.2%) | 13 (50%) | 0.424 |
Arterial hypertension (n. %) | 31 (91.2%) | 25 (92.6%) | 0.602 |
Previous cancer (n, %) | 9 (26.5%) | 4 (13.3%) | 0.216 |
Heart disease (n, %) | 15 (44.1%) | 12 (44.1%) | 0.592 |
Lung disease (n, %) | 11 (32.4%) | 9 (33.3%) | 0.575 |
Dyslipidemia | 20 (58.8%) | 20 (74.1%) | 0.308 |
ACE inhibitors/Anti AT1-receptor blockers (n, %) | 8 (23.6%) | 8 (29.6%) | 0.476 |
Vitamin D derivatives (n, %) | 6 (17.6%) | 9 (33.3%) | 0.224 |
Cinacalcet/Etecalcetide (n, %) | 1 (2.9%) | 4 (14.8%) | 0.112 |
COVID-19 Confirmed (n = 34) | COVID-19 Non-Confirmed (n = 27) | p | |
---|---|---|---|
Clinical symptoms | |||
Fever | 30 (88.2%) | 21 (77.8%) | 0.227 |
Cough | 27 (79.4%) | 12 (44.4%) | 0.005 |
Dyspnea | 23 (67.6%) | 9 (33.3%) | 0.008 |
Asthenia | 19 (55.9%) | 5 (18.5%) | 0.001 |
Myalgia | 13 (38.2%) | 3 (11.1%) | 0.016 |
Diarrhea | 9 (26.5%) | 6 (22.2%) | 0.469 |
Headache | 4 (11.8%) | 3 (11.1%) | 0.630 |
Ageusia | 2 (5.9%) | 0 (0%) | 0.200 |
Anosmia | 1 (2.9%) | 0 (0%) | 0.369 |
Lung disease | |||
Pneumonia | 30 (88.2%) | 5 (14.3%) | 0.000 |
Bilateral Pneumonia | 26 (76.5%) | 3 (11.1%) | 0.000 |
Laboratory findings | |||
Hemoglobin (g/dL, mean ± SD) | 10.8 (2.1) | 11.5 (2.1) | 0.228 |
White blood cells (×103/μL, mean ± SD) | 8.2 (3.9) | 9.8 (5.4) | 0.239 |
Lymphocytes (×103/μL, mean ± SD) | 0.96 (0.74) | 1.36 (0.88) | 0.070 |
Neutrophils (×103/μL, mean ± SD) | 6.79 (3.65) | 6.97 (3.87) | 0.964 |
Platelets (×103/μL, mean ± SD) | 144 (69) | 169 (99) | 0.225 |
D-dimer (mcg/L, median (IQR)) | 940 (290–34,742) | 1180 (190–6080) | 0.391 |
Fibrinogen (UI/L, mean ± SD) | 836.5 (271) | 651(325) | 0.241 |
AST (UI/L, mean ± SD) | 29.1 (26.4) | 19 (14.7) | 0.172 |
LDH (UI/L, mean ± SD) | 378 (263.5) | 180 (94.8) | 0.009 |
LDH > 230 UI/L * (n, %) | 23 (76.7) | 3 (21.4) | 0.001 |
CPK (U/L, mean ± SD) | 62.3 (47.8) | 78.8 (66) | 0.406 |
C-reactive protein (mg/L, mean ± SD) | 12.1 (8.9) | 6.5 (7.9) | 0.017 |
C-reactive protein > 4 mg/L * (n, %) | 25 (73.5) | 11 (45.8) | 0.032 |
Ferritin (ng/mL, median (IQR)) | 1450 (66–6987) | 1172 (224–2860) | 0.173 |
Phosphate (mg/dL; mean ± SD) | 2.33 (1.96) | 4.50 (1.65) | 0.002 |
COVID-19 Confirmed (n = 34) | COVID-19 Non-Confirmed (n = 27) | p | |
---|---|---|---|
Treatments | |||
Hydroxychloroquine (n, %) | 31 (93.9%) | 4 (15.4%) | 0.000 |
Azithromycin (n, %) | 29 (87.9%) | 8 (30.8%) | 0.000 |
Ceftriaxone (n, %) | 20 (62.5%) | 4 (15.4%) | 0.001 |
Steroids (n, %) | 21 (63.6%) | 1 (3.7%) | 0.000 |
Enoxaparin (n, %) | 15 (44.1%) | 3 (11.1%) | 0.005 |
Lopinavir/ritonavir (n, %) | 7 (20.6%) | 0 (0%) | 0.027 |
Tocilizumab (n, %) | 8 (23.5%) | 0 (0%) | 0.006 |
Vitamin D (n, %) | 4 (11.8%) | 0 (0%) | 0.065 |
Nothing (n, %) | 3 (8.8%) | 18 (66.7%) | 0.000 |
Outcomes | |||
Hospital admission (n, %) | 34 (100%) | 17 (63%) | 0.000 |
ICU admission (n, %) | 7 (21.2%) | 4 (14.8%) | 0.406 |
Non-invasive mechanical ventilation (n, %) | 12 (36.4%) | 3 (11.1%) | 0.028 |
Endotracheal intubation (n, %) | 6 (18.2%) | 3 (11.1%) | 0.367 |
AKI in non-dialysis patients (n, %) | 9/26 (34.6%) | 3/15 (20%) | 0.119 |
Idem requiring dialysis (n, %) | 5/26 (19.2%) | 3/15 (20%) | 0.262 |
Thrombosis (Pulmonary thromboembolism) ** | 1 (3%) | 0 (0%) | 0.557 |
Resolution (n, %) | 19 (55.9%) | 27 (100%) | 0.000 |
Death (n, %) | 13 (38.2%) | 0 (0%) | 0.000 |
Time * from onset of symptoms and: | |||
-RT-PCR positive or negative | 4.9 (0–15) | 5.5 (0–43) | 0.847 |
-Hospital admission | 5.8 (0–18) | 5.2 (0–43) | 0.641 |
-Intensive care unit admission | 0.5 (0–2) | 0.6 (0–2) | 0.910 |
Time * from Hospital admission and: | |||
-Acute kidney injury | 0 (0–0) | 0.2 (0–2) | 0.817 |
-Resolution | 12.4 (1–23) | 5.0 (0–33) | 0.010 |
-Death | 7.5 (0–16) | - | - |
OR | IC95% | p | |
---|---|---|---|
Demographics and profile | |||
Age > 65 years old | 4.32 | 0.49–38.98 | 0.19 |
Hemodialysis vs. Kidney transplantation | 3.04 | 0.39–23.44 | 0.29 |
Obesity | 4.51 | 0.31–66.27 | 0.27 |
Clinical features | |||
Pneumonia | 11.64 | 1.29–104.69 | 0.028 |
Serum laboratory parameters | |||
LDH (UI/L) | 1.012 | 0.99–1.03 | 0.10 |
C-reactive protein (mg/L) | 1.006 | 0.86–1.17 | 0.93 |
Kidney Transplantation | Hemodialysis | |||||
---|---|---|---|---|---|---|
COVID-19 Confirmed (n = 26) | COVID-19 Non-Confirmed (n = 14) | p | COVID-19 Confirmed (n = 8) | COVID-19 Non-Confirmed (n = 13) | p | |
Baseline characteristics | ||||||
Age (years, mean ± Standard deviation (SD)) | 70.3 (9.1) | 59.2 (16.1) | 0.010 | 64.7 (12,8) | 65.3 (16.9) | 0.936 |
Time on KT/HD (years. median (IQR)) | 6.1 (6.9) | 3.9 (3.3) | 0.241 | 2.5 (2.1) | 4.1 (3.6) | 0.306 |
Male Sex (n, %) | 17 (65.4%) | 10 (71.4%) | 0.395 | 7 (87.5%) | 11 (84.6%) | 0.684 |
Contact with healthcare facilities prior month | 22 (84.6%) | 5 (35.7%) | 0.013 | 3 (37.5%) | 7 (53.8%) | 0.392 |
Known infected contact | 1 (3.8%) | 5 (35%) | 0.014 | 3 (37.5%) | 3 (23.1%) | 0.410 |
Clinical profile and signs at admission | ||||||
Fever | 24 (92.3%) | 10 (71.4%) | 0.099 | 6 (75%) | 11 (84.6%) | 0.498 |
Cough | 22 (84.6%) | 6 (42.9%) | 0.019 | 5 (71.4%) | 6 (46.2%) | 0.201 |
Dyspnea | 19 (73.1%) | 6 (42.9%) | 0.062 | 4 (50%) | 3 (23.1%) | 0.213 |
Asthenia | 13 (50%) | 3 (21.4%) | 0.048 | 6 (75%) | 2 (15.4%) | 0.011 |
Myalgia | 13 (50%) | 2 (14.3%) | 0.027 | 0 (0%) | 1 (7.7%) | 0.619 |
Diarrhea | 7 (26.9%) | 3 (21.4%) | 0.508 | 2 (25%) | 3 (23.1%) | 0.656 |
Headache | 4 (15.4%) | 1 (7.1%) | 0.418 | 0 (0%) | 2 (15.4%) | 0.371 |
Ageusia | 1 (3.8%) | 0 (0%) | 0.650 | 1 (14.3%) | 0 (0%) | 0.381 |
Anosmia | 0 (0%) | 0 (0%) | - | 1 (14.3%) | 0 (0%) | 0.381 |
Pneumonia | 23 (88.5%) | 4 (7.1%) | 0.000 | 7 (87.5%) | 1 (7.7%) | 0.001 |
Bilateral pneumonia | 19 (73.1%) | 2 (14.3%) | 0.000 | 6 (75%) | 1 (7.7%) | 0.003 |
Laboratory findings at admission | ||||||
Hemoglobin (gr/dL, mean (SD)) | 11.0 (2.2) | 11.0 (1.7) | 0.993 | 10 (1.4) | 11.9 (2.5) | 0.081 |
White blood cells (×103/μL, mean (SD) | 8.46 (4.0) | 11.3 (6.1) | 0.097 | 8.3 (4.3) | 8.5 (4.5) | 0.912 |
Lymphocytes (×103/μL, mean (SD)) | 1.0 (0.82) | 1.1 (0.84) | 0.818 | 0.73 (0.36) | 1.6 (0.93) | 0.034 |
Neutrophils (×103/uL, mean (SD)) | 7.0 (3.78) | 7.5 (4.23) | 0.510 | 6.8 (3.4) | 6.0 (3.6) | 0.635 |
Platelets (×103/μL, mean (SD)) | 142 (66) | 199 (122) | 0.055 | 151 (84) | 139 (60) | 0.711 |
Serum Creatinine (mg/dL, mean (SD)) | 2.4 (1.3) | 3.8 (2.7) | 0.047 | 5.7 (5.2) | 6.5 (3.19) | 0.672 |
D-dimer (mcg/L, median (IQR)) | 860 (290–34,732) | 1410 (550–2780) | 0.505 | 1210 (840–15,100) | 1570 (190–6080) | 0.449 |
Fibrinogen (UI/L, mean (SD)) | 647 (416–1000) | 1000 (1000) | 0.239 | 1000 (0) | 540 (320) | 0.021 |
AST (UI/L, mean (SD)) | 29.6 (28.1) | 11.8 (2.9) | 0.082 | 22 (6.3) | 24.7 (17.5) | 0.741 |
LDH (UI/L, mean (SD)) | 378 (259) | 137 (107) | 0.023 | 260 (92) | 218 (65) | 0.325 |
IL-6 (ng/mL, mean (SD)) | 214 (372) | 21.7 (8) | 0.612 | 120 (77) | 98.6 | 0.810 |
C-reactive protein (mg/L, mean (SD)) | 12.6 (8.0) | 8.5 (8.8) | 0.161 | 8.0 (11.2) | 6.4 (6.9) | 0.403 |
Ferritin (ng/mL, median (IQR)) | 1500 (66–4873) | 672 (534–2397) | 0.203 | 868 (534–2397) | 931 (224–2860) | 0.630 |
COVID-19 treatments | ||||||
Hydroxychloroquine (n, %) | 23 (92%) | 3 (23%) | 0.000 | 7 (87.5%) | 1 (7.7%) | 0.001 |
Ceftriaxone (n, %) | 15 (62.5%) | 2 (15%) | 0.007 | 4 (50%) | 2 (15.4%) | 0.115 |
Azitromicin (n, %) | 22 (88%) | 4 (30%) | 0.001 | 6 (75%) | 4 (30.8%) | 0.049 |
Lopinovir/ritovir (n, %) | 5 (19.2%) | 0 (0%) | 0.090 | 1 (12.5%) | 0 (0%) | 0.381 |
Tocilizumab (n, %) | 6 (23.1%) | 0 (0%) | 0.051 | 2 (25%) | 0 (0%) | 0.058 |
Steroids (n, %) | 14 (56%) | 1 (7.1%) | 0.003 | 6 (75%) | 0 (0%) | 0.001 |
Enoxaparin (n, %) | 8 (30.8%) | 2 (14.3%) | 0.193 | 7(87.5%) | 1 (7.7%) | 0.001 |
Nothing (n, %) | 1 (3.8%) | 10 (71%) | 0.000 | 1 (12.5%) | 8 (61.5%) | 0.119 |
Outcomes and evolution | ||||||
Hospital admission (n, %) | 26 (100%) | 9 (64%) | 0.003 | 8 (100%) | 8 (61.5%) | 0.044 |
ICU admission (n, %) | 6 (23.1%) | 2 (14%) | 0.412 | 1 (12.5%) | 2 (15.4%) | 0.684 |
Noninvasive mechanical ventilation (n, %) | 8 (30.8%) | 1 (7.1%) | 0.091 | 4 (50%) | 2 (15.4%) | 0.088 |
Endotracheal intubation (n, %) | 5 (19.2%) | 2 (14%) | 0.529 | 1 (12.5%) | 1 (7.7%) | 0.629 |
Resolution (n, %) | 14 (53.8%) | 14 (100) | 0.000 | 5 (62.5%) | 13 (100%) | 0.017 |
Death (n, %) | 10 (38.5%) | 0 (0%) | 0.006 | 3 (37.5%) | 0 (0%) | 0.042 |
Times and evolution of events (days, mean (IQR)) | ||||||
Time from symptoms onset to RT-PCR | 5.6 (0–15) | 4.1 (0–23) | 0.449 | 2.3 (0–10) | 6.8 (0–43) | 0.430 |
Time from symptoms onset to admission | 6.7 (0–18) | 3.0 (0–14) | 0.062 | 5.8 (0–18) | 7.1 (0–43) | 0.460 |
Time from admission to AKI | 0 (0–0) | 0.12 (0–2) | 0.817 | - | - | - |
Time from admission to resolution | 11.2 (1–21) | 4.8 (0–33) | 0.066 | 23 (23) | 5.3 (0–12) | 0.008 |
Time from admission to death | 7.2 (0–16) | 0 | 0.001 | 8.0 (0–15) | 0 (0-0) | 0.423 |
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Arenas, M.D.; Crespo, M.; Pérez-Sáez, M.J.; Collado, S.; Redondo-Pachón, D.; Llinàs-Mallol, L.; Montero, M.M.; Villar-García, J.; Arias-Cabrales, C.; Barbosa, F.; et al. Clinical Profiles in Renal Patients with COVID-19. J. Clin. Med. 2020, 9, 2665. https://doi.org/10.3390/jcm9082665
Arenas MD, Crespo M, Pérez-Sáez MJ, Collado S, Redondo-Pachón D, Llinàs-Mallol L, Montero MM, Villar-García J, Arias-Cabrales C, Barbosa F, et al. Clinical Profiles in Renal Patients with COVID-19. Journal of Clinical Medicine. 2020; 9(8):2665. https://doi.org/10.3390/jcm9082665
Chicago/Turabian StyleArenas, María Dolores, Marta Crespo, María José Pérez-Sáez, Silvia Collado, Dolores Redondo-Pachón, Laura Llinàs-Mallol, María Milagro Montero, Judith Villar-García, Carlos Arias-Cabrales, Francesc Barbosa, and et al. 2020. "Clinical Profiles in Renal Patients with COVID-19" Journal of Clinical Medicine 9, no. 8: 2665. https://doi.org/10.3390/jcm9082665
APA StyleArenas, M. D., Crespo, M., Pérez-Sáez, M. J., Collado, S., Redondo-Pachón, D., Llinàs-Mallol, L., Montero, M. M., Villar-García, J., Arias-Cabrales, C., Barbosa, F., Buxeda, A., Burballa, C., Sans, L., Vázquez, S., Oliveras, A., Mir, M., Outón, S., Galcerán, I., Solá, E., ... Pascual, J. (2020). Clinical Profiles in Renal Patients with COVID-19. Journal of Clinical Medicine, 9(8), 2665. https://doi.org/10.3390/jcm9082665