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Li W, Li S, Yuan J, Chen X, Chen Q, Xiao C, Li Q, Li L, Liu Y, He J, Chen L, Shen F. Association between serum sodium and 28-day mortality in sepsis patients: A secondary data analysis from three large critical illness cohorts. Ther Apher Dial 2024; 28:96-102. [PMID: 37704402 DOI: 10.1111/1744-9987.14066] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 08/02/2023] [Accepted: 08/29/2023] [Indexed: 09/15/2023]
Abstract
OBJECTIVE The present study was designed to explore the association between serum sodium and mortality in patients with sepsis by using a large sample, multicenter MIMIC-IV database. METHODS We extracted the data of 34 925 sepsis patients from the retrospective cohort mimicIV database. After adjusting the confounders, we explored the independent effects of serum sodium on 28-day mortality. RESULTS A nonlinear relationship existed between serum sodium and 28-day mortality, of which a negative association was found between serum sodium and 28-day mortality (odds ratio: 0.95, 95% CI: 0.94, 0.96, p = 0.0001) when serum sodium was in 102 mmol/L to 138 mmol/L, but a positive correlation appeared when sodium climbed to the range of 140-179 mmol/L (odds ratio: 1.04, 95% CI: 1.03-1.06, p = 0.0001). CONCLUSIONS Both lower and higher serum sodium levels are associated with an increased risk of death in sepsis patients.
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Affiliation(s)
- Wei Li
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Shuwen Li
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Jia Yuan
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Xianjun Chen
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Qimin Chen
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Chuan Xiao
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Qing Li
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Lu Li
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Ying Liu
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Juan He
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Lu Chen
- Department of Research, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Feng Shen
- Department of Critical Care Medicine, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
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2
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Pan W, Xu Z, Rajendran S, Wang F. An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals. PATTERNS (NEW YORK, N.Y.) 2024; 5:100898. [PMID: 38264713 PMCID: PMC10801228 DOI: 10.1016/j.patter.2023.100898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 09/06/2023] [Accepted: 11/21/2023] [Indexed: 01/25/2024]
Abstract
Clinical risk prediction with electronic health records (EHR) using machine learning has attracted lots of attentions in recent years, where one of the key challenges is how to protect data privacy. Federated learning (FL) provides a promising framework for building predictive models by leveraging the data from multiple institutions without sharing them. However, data distribution drift across different institutions greatly impacts the performance of FL. In this paper, an adaptive FL framework was proposed to address this challenge. Our framework separated the input features into stable, domain-specific, and conditional-irrelevant parts according to their relationships to clinical outcomes. We evaluate this framework on the tasks of predicting the onset risk of sepsis and acute kidney injury (AKI) for patients in the intensive care unit (ICU) from multiple clinical institutions. The results showed that our framework can achieve better prediction performance compared with existing FL baselines and provide reasonable feature interpretations.
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Affiliation(s)
- Weishen Pan
- Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
- Institute of Artificial Intelligence for Digital Health, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
| | - Zhenxing Xu
- Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
- Institute of Artificial Intelligence for Digital Health, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
| | - Suraj Rajendran
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
| | - Fei Wang
- Department of Population Health Sciences, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
- Institute of Artificial Intelligence for Digital Health, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
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3
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Allen M, Gluck J, Benson E. Renal disease and diabetes increase the risk of failed outpatient management of cellulitic hand infections: a retrospective cohort study. J Orthop Surg Res 2023; 18:420. [PMID: 37301849 DOI: 10.1186/s13018-023-03911-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/06/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Hand infections are heterogeneous, and some may undergo successful outpatient management. There are no strict guidelines for determining which patients will likely require inpatient admission for successful treatment, and many patients succeed with outpatient therapy. We sought to determine risk factors for failed outpatient management of cellulitic hand infections. METHODS We performed a retrospective review of patients who presented to the Emergency Department (ED) for hand cellulitic infections over five years, from 2014 to 2019. Vital signs, lab markers, Charlson Comorbidity Index (CCI), Elixhauser Comorbidity Measure (ECM), and antibiotic use were investigated. Discharge from the ED without subsequent admission was considered an outpatient success, while admission within 30 days of the prior visit was considered a failure. Continuous variables were compared with Welch's t test, and categorical data with Fisher's exact tests. Multivariable logistic regression was performed on comorbidities. Multiple testing adjustment was performed on p-values to generate q-values. RESULTS Outpatient management was attempted for 1,193 patients. 31 (2.6%) infections failed treatment, and 1,162 (97.4%) infections succeeded. Attempted outpatient treatment was 97.4% successful. Multivariable analysis demonstrated higher odds of failure with renal failure according to both CCI (OR 10.2, p < 0.001, q = 0.002) and ECM (OR 12.63, p = 0.003, q = 0.01) and with diabetes with complications according to the CCI (OR 18.29, p = 0.021, q = 0.032). CONCLUSIONS Outpatient treatment failure was higher in patients with renal failure and complicated diabetes. These patients require a high index of suspicion for outpatient failure. These comorbidities should influence consideration for inpatient therapy though most patients can undergo successful treatment as outpatients. LEVEL OF EVIDENCE Level III.
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Affiliation(s)
- Michael Allen
- Community Memorial Health System, 147 Brent St, Ventura, CA, 93003, USA.
- Ventura County Medical Center, 300 Hillmont Ave, Ventura, CA, 93003, USA.
| | - Joshua Gluck
- Community Memorial Health System, 147 Brent St, Ventura, CA, 93003, USA
- St. John's Regional Medical Center, 1600 N Rose Ave, Oxnard, CA, 93030, USA
| | - Emily Benson
- Community Memorial Health System, 147 Brent St, Ventura, CA, 93003, USA
- Ventura County Medical Center, 300 Hillmont Ave, Ventura, CA, 93003, USA
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Segev A, Sagir A, Matetzky S, Segev A, Atar S, Shechter M. Admission Serum Magnesium Levels Is Associated with Short and Long-Term Clinical Outcomes in COVID-19 Patients. Nutrients 2023; 15:2016. [PMID: 37432174 DOI: 10.3390/nu15092016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 04/19/2023] [Accepted: 04/20/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND In the face of the global pandemic that the coronavirus disease 2019 (COVID-19) has created, readily available prognostic markers may be of great use. OBJECTIVE To evaluate the association between serum magnesium (sMg) levels on admission and clinical outcomes in hospitalized COVID-19 patients. METHODS We retrospectively analyzed all patients admitted to a single tertiary center with a primary de novo diagnosis of COVID-19. Patients were followed for a mean of 10 ± 7 months. Demographic, clinical and laboratory data were collected and compared between five groups of patients according to sMg quintiles on hospital admission. RESULTS The cohort included 1522 patients (58% male, 69 ± 17 years old). A low sMg level (1st quintile) was associated with higher rates of diabetes and steroid use, whereas a high sMg level (5th quintile) was associated with dyslipidemia, renal dysfunction, higher levels of inflammatory markers and stay in the intensive care unit. All-cause in-hospital and long-term mortality was higher in patients with both low and high sMg levels, compared with mid-range sMg levels (2nd, 3rd and 4th quintiles; 19% and 30% vs. 9.5%, 10.7% and 17.8% and 35% and 45.3% vs. 23%, 26.8% and 27.3% respectively; p < 0.001 for all). After adjusting for significant clinical parameters indicating severe disease and renal dysfunction, only low sMg state was independently associated with increased mortality (HR = 1.57, p < 0.001). CONCLUSIONS Both low and high sMg levels were associated with increased mortality in a large cohort of hospitalized COVID-19 patients. However, after correction for renal dysfunction and disease severity, only low sMg maintained its prognostic ability.
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Affiliation(s)
- Amitai Segev
- The Leviev Cardiothoracic & Vascular Center, Chaim Sheba Medical Center, Ramat Gan 5236723, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Adam Sagir
- Cardiovascular Division, Galilee Medical Center, Nahariya 2210001, Israel
- Azrieli Faculty of Medicine, Bar Ilan University, Ramat Gan 5290002, Israel
| | - Shlomi Matetzky
- The Leviev Cardiothoracic & Vascular Center, Chaim Sheba Medical Center, Ramat Gan 5236723, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Amit Segev
- The Leviev Cardiothoracic & Vascular Center, Chaim Sheba Medical Center, Ramat Gan 5236723, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Shaul Atar
- Cardiovascular Division, Galilee Medical Center, Nahariya 2210001, Israel
- Azrieli Faculty of Medicine, Bar Ilan University, Ramat Gan 5290002, Israel
| | - Michael Shechter
- The Leviev Cardiothoracic & Vascular Center, Chaim Sheba Medical Center, Ramat Gan 5236723, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
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5
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Qi Z, Lu J, Liu P, Li T, Li A, Duan M. Nomogram Prediction Model of Hypernatremia on Mortality in Critically Ill Patients. Infect Drug Resist 2023; 16:143-153. [PMID: 36636369 PMCID: PMC9831528 DOI: 10.2147/idr.s387995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 12/23/2022] [Indexed: 01/07/2023] Open
Abstract
Objective To investigate the value of hypernatremia in the intensive care unit (ICU) for the risk prediction of mortality in severe patients. Methods Clinical data of critically ill patients admitted to the ICU of Beijing Friendship Hospital, were collected for retrospective analysis. Univariate and multivariate logistic regression analyses were employed to analyze the influencing factors. Nomograms predicting the mortality were constructed with R software and validated with repeated sampling. Results A total of 442 cases were eligible for this study. Hypernatremia within 48 hours of ICU admission, change in sodium concentration (CNa+) within 48 hours, septic shock, APACHE II score, hyperlactatemia within 48 hours, use of continuous renal replacement therapy (CRRT) within 48 hours, and the use of mechanical ventilation (MV) within 48 hours of ICU admission were all identified as independent risk factors for death within 28 days of ICU admission. These predictors were included in a nomogram of 28-day mortality in severe patients, which was constructed using R software. Conclusion The nomogram could predict the individualized risk of 28-day mortality based on the above factors. The model has better discrimination and accuracy and has high clinical application value.
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Affiliation(s)
- Zhili Qi
- Department of Critical Care Medicine, Capital Medical University, Beijing, People’s Republic of China
| | - Jiaqi Lu
- Department of Critical Care Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Pei Liu
- Department of Critical Care Medicine, Capital Medical University, Beijing, People’s Republic of China
| | - Tian Li
- Department of Critical Care Medicine, Capital Medical University, Beijing, People’s Republic of China
| | - Ang Li
- Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China,Correspondence: Ang Li, Beijing Ditan Hospital, Capital Medical University, Beijing Ditan Hospital, 8 Jing Shun East Street, Beijing, People’s Republic of China, Email
| | - Meili Duan
- Department of Critical Care Medicine, Capital Medical University, Beijing, People’s Republic of China,Meili Duan, Department of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, No. 95 Yong’an Road, Xicheng District, Beijing, 10005, People’s Republic of China, Email
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6
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Brown RB. Low dietary sodium potentially mediates COVID-19 prevention associated with whole-food plant-based diets. Br J Nutr 2022; 129:1-6. [PMID: 35912674 PMCID: PMC10011594 DOI: 10.1017/s0007114522002252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 06/11/2022] [Accepted: 07/12/2022] [Indexed: 11/07/2022]
Abstract
Compared with an omnivorous Western diet, plant-based diets containing mostly fruits, vegetables, grains, legumes, nuts and seeds, with restricted amounts of foods of animal origin, are associated with reduced risk and severity of COVID-19. Additionally, inflammatory immune responses and severe acute respiratory symptoms of COVID-19, including pulmonary oedema, shortness of breath, fever and nasopharyngeal infections, are associated with Na toxicity from excessive dietary Na. High dietary Na is also associated with increased risks of diseases and conditions that are co-morbid with COVID-19, including chronic kidney disease, hypertension, stroke, diabetes and obesity. This article presents evidence that low dietary Na potentially mediates the association of plant-based diets with COVID-19 prevention. Processed meats and poultry injected with sodium chloride contribute considerable amounts of dietary Na in the Western diet, and the avoidance or reduction of these and other processed foods in whole-food plant-based (WFPB) diets could help lower overall dietary Na intake. Moreover, high amounts of K in plant-based diets increase urinary Na excretion, and preagricultural diets high in plant-based foods were estimated to contain much lower ratios of dietary Na to K compared with modern diets. Further research should investigate low Na in WFPB diets for protection against COVID-19 and co-morbid conditions.
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Affiliation(s)
- Ronald B. Brown
- School of Public Health Sciences, University of Waterloo, Waterloo, ONN2L3G1, Canada
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7
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Wang KY, Suresh KV, Mo K, Harris AB, Marrache M, Kebaish KM. Preoperative Hyponatremia is an Independent Risk Factor for Prolonged Hospital Stay Following Anterior Cervical Discectomy and Fusion. World Neurosurg 2021; 161:e18-e24. [PMID: 34688933 DOI: 10.1016/j.wneu.2021.10.125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 10/14/2021] [Accepted: 10/15/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE To determine the effects of preoperative hyponatremia on short-term postoperative complications and healthcare utilization (length of stay, readmissions) following anterior cervical fusion and discectomy (ACDF). METHODS Patients who underwent ACDF were identified in the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database. Patients who had revision surgery, trauma, vertebral malignancy, or infection were excluded. Eunatremia was defined as sodium (Na) level between 135 and 145 mEq/L, whereas hyponatremia was defined as Na < 135 mEq/L. Preoperatively hyponatremic patients were matched 1:1 with eunatremic patients using propensity-score matching based upon age, gender, American Society of Anesthesiology (ASA) score, and baseline comorbidities. Minor adverse events included superficial infection, dehiscence, urinary tract infection, pneumonia, and renal insufficiency or failure. Serious adverse events included deep wound infection, reintubation, pulmonary embolism, cerebrovascular accident, cardiac arrest, deep vein thrombosis, sepsis, return to operating room, and death within 30 days. Complications were analyzed using bivariate and logistic analysis with significance set at p<0.05. RESULTS Of the 9,094 patients undergoing ACDF, 3.64% (331 patients) were preoperatively hyponatremic. Preoperative hyponatremia was an independent risk factor for postoperative pneumonia following ACDF (OR=4.47; p=0.020) as well as extended length of hospital stay greater than one standard deviation above the mean (OR=1.71; p=0.042). Preoperative hyponatremia was an independent risk factor for having a serious adverse event (OR=2.40; p=0.005), as well as any adverse event (OR=2.44; p=0.009). CONCLUSION Preoperative hyponatremia is an independent risk factor for pneumonia and prolonged length of stay following ACDF.
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Affiliation(s)
- Kevin Y Wang
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, MD
| | - Krishna V Suresh
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, MD
| | - Kevin Mo
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, MD
| | - Andrew B Harris
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, MD
| | - Majd Marrache
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, MD
| | - Khaled M Kebaish
- Department of Orthopaedic Surgery, The Johns Hopkins University, Baltimore, MD.
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8
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Brown RB. Sodium Toxicity in the Nutritional Epidemiology and Nutritional Immunology of COVID-19. MEDICINA (KAUNAS, LITHUANIA) 2021; 57:739. [PMID: 34440945 PMCID: PMC8399536 DOI: 10.3390/medicina57080739] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/17/2021] [Accepted: 07/19/2021] [Indexed: 02/06/2023]
Abstract
Dietary factors in the etiology of COVID-19 are understudied. High dietary sodium intake leading to sodium toxicity is associated with comorbid conditions of COVID-19 such as hypertension, kidney disease, stroke, pneumonia, obesity, diabetes, hepatic disease, cardiac arrhythmias, thrombosis, migraine, tinnitus, Bell's palsy, multiple sclerosis, systemic sclerosis, and polycystic ovary syndrome. This article synthesizes evidence from epidemiology, pathophysiology, immunology, and virology literature linking sodium toxicological mechanisms to COVID-19 and SARS-CoV-2 infection. Sodium toxicity is a modifiable disease determinant that impairs the mucociliary clearance of virion aggregates in nasal sinuses of the mucosal immune system, which may lead to SARS-CoV-2 infection and viral sepsis. In addition, sodium toxicity causes pulmonary edema associated with severe acute respiratory syndrome, as well as inflammatory immune responses and other symptoms of COVID-19 such as fever and nasal sinus congestion. Consequently, sodium toxicity potentially mediates the association of COVID-19 pathophysiology with SARS-CoV-2 infection. Sodium dietary intake also increases in the winter, when sodium losses through sweating are reduced, correlating with influenza-like illness outbreaks. Increased SARS-CoV-2 infections in lower socioeconomic classes and among people in government institutions are linked to the consumption of foods highly processed with sodium. Interventions to reduce COVID-19 morbidity and mortality through reduced-sodium diets should be explored further.
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Affiliation(s)
- Ronald B Brown
- School of Public Health Sciences, University of Waterloo, Waterloo, ON N2L 3G1, Canada
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9
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Trecarichi EM, Mazzitelli M, Serapide F, Pelle MC, Tassone B, Arrighi E, Perri G, Fusco P, Scaglione V, Davoli C, Lionello R, La Gamba V, Marrazzo G, Busceti MT, Giudice A, Ricchio M, Cancelliere A, Lio E, Procopio G, Costanzo FS, Foti DP, Matera G, Torti C. Clinical characteristics and predictors of mortality associated with COVID-19 in elderly patients from a long-term care facility. Sci Rep 2020; 10:20834. [PMID: 33257703 PMCID: PMC7705720 DOI: 10.1038/s41598-020-77641-7] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 11/13/2020] [Indexed: 01/08/2023] Open
Abstract
Since December 2019, coronavirus disease 2019 (COVID-19) pandemic has spread from China all over the world and many COVID-19 outbreaks have been reported in long-term care facilities (LCTF). However, data on clinical characteristics and prognostic factors in such settings are scarce. We conducted a retrospective, observational cohort study to assess clinical characteristics and baseline predictors of mortality of COVID-19 patients hospitalized after an outbreak of SARS-CoV-2 infection in a LTCF. A total of 50 patients were included. Mean age was 80 years (SD, 12 years), and 24/50 (57.1%) patients were males. The overall in-hospital mortality rate was 32%. At Cox regression analysis, significant predictors of in-hospital mortality were: hypernatremia (HR 9.12), lymphocyte count < 1000 cells/µL (HR 7.45), cardiovascular diseases other than hypertension (HR 6.41), and higher levels of serum interleukin-6 (IL-6, pg/mL) (HR 1.005). Our study shows a high in-hospital mortality rate in a cohort of elderly patients with COVID-19 and hypernatremia, lymphopenia, CVD other than hypertension, and higher IL-6 serum levels were identified as independent predictors of in-hospital mortality. Given the small population size as major limitation of our study, further investigations are necessary to better understand and confirm our findings in elderly patients.
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Affiliation(s)
- Enrico Maria Trecarichi
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy.
| | - Maria Mazzitelli
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Francesca Serapide
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Maria Chiara Pelle
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Bruno Tassone
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Eugenio Arrighi
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Graziella Perri
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Paolo Fusco
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Vincenzo Scaglione
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Chiara Davoli
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Rosaria Lionello
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Valentina La Gamba
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | | | | | - Amerigo Giudice
- Department of Health Sciences, "Magna Graecia" University of Catanzaro, Catanzaro, Italy
| | - Marco Ricchio
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Anna Cancelliere
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Elena Lio
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Giada Procopio
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
| | - Francesco Saverio Costanzo
- Department of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro, Italy.,Center of Interdepartmental Services (CIS), "Magna Graecia" University of Catanzaro, Catanzaro, Italy
| | - Daniela Patrizia Foti
- Clinical Pathology Unit, Department of Health Sciences, "Magna Graecia" University of Catanzaro, Catanzaro, Italy
| | - Giovanni Matera
- Department of Health Sciences, Institute of Microbiology, "Magna Graecia" University of Catanzaro, Catanzaro, Italy
| | - Carlo Torti
- Infectious and Tropical Disease Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, Viale Europa, 88100, Catanzaro, Italy
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Ranjan R, Lo SCY, Ly S, Krishnananthan V, Lim AK. Progression to Severe Hypernatremia in Hospitalized General Medicine Inpatients: An Observational Study of Hospital-Acquired Hypernatremia. ACTA ACUST UNITED AC 2020; 56:medicina56070358. [PMID: 32709029 PMCID: PMC7404557 DOI: 10.3390/medicina56070358] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 07/14/2020] [Accepted: 07/15/2020] [Indexed: 12/16/2022]
Abstract
Background and objectives: Hypernatremia can be community or hospital-acquired, and there may be specific factors unique to the hospital environment, such as intravenous fluid treatment, which contribute to hypernatremia. The aim of this study was to determine the factors associated with the progression from moderate to severe hospital-acquired hypernatremia among patients admitted under general medicine. Materials and Methods: In this retrospective, single-center cohort study (2012 to 2017), we used ICD-10 coding and medical records to identify adult patients who developed moderate hypernatremia and followed them for progression to severe hypernatremia. We profiled the serum biochemistry and the volume and composition of prescribed intravenous fluids. We applied logistic regression to determine the factors associated with the progression to severe hypernatremia, using the patients with moderate hypernatremia as reference. Results: Of the 180 medical inpatients (median age of 81 years) with moderate hospital-acquired hypernatremia, 9.4% progressed to severe hypernatremia. Normal saline comprised 76% of intravenous fluid volume administered prior to onset of moderate hypernatremia. After the onset, 38% of fluid volume prescribed remained normal saline. The factors independently associated with progression to severe hypernatremia included chronic kidney disease stage (odds ratio 2.38, 95% CI: 1.26-4.50, P = 0.008) and serum creatinine increase (per 10 µmol/L, OR 1.29, 95% CI: 1.07-1.57, P = 0.009). Conclusions: Patients with chronic kidney disease and acute kidney injury may have an increased risk of severe hospital-acquired hypernatremia.
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Affiliation(s)
- Ramessh Ranjan
- Monash Health General Medicine, Dandenong Hospital, 135 David Street, Dandenong, VIC 3175, Australia; (R.R.); (S.C.-Y.L.); (S.L.); (V.K.)
| | - Stacey C.-Y. Lo
- Monash Health General Medicine, Dandenong Hospital, 135 David Street, Dandenong, VIC 3175, Australia; (R.R.); (S.C.-Y.L.); (S.L.); (V.K.)
| | - Stephanie Ly
- Monash Health General Medicine, Dandenong Hospital, 135 David Street, Dandenong, VIC 3175, Australia; (R.R.); (S.C.-Y.L.); (S.L.); (V.K.)
| | - Visakan Krishnananthan
- Monash Health General Medicine, Dandenong Hospital, 135 David Street, Dandenong, VIC 3175, Australia; (R.R.); (S.C.-Y.L.); (S.L.); (V.K.)
| | - Andy K.H. Lim
- Monash Health General Medicine, Dandenong Hospital, 135 David Street, Dandenong, VIC 3175, Australia; (R.R.); (S.C.-Y.L.); (S.L.); (V.K.)
- Department of Medicine, School of Clinical Sciences, Monash University, 246 Clayton Road, Clayton, VIC 3168, Australia
- Correspondence: or
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11
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Ruiz-Sánchez JG, Núñez-Gil IJ, Cuesta M, Rubio MA, Maroun-Eid C, Arroyo-Espliguero R, Romero R, Becerra-Muñoz VM, Uribarri A, Feltes G, Trabattoni D, Molina M, García Aguado M, Pepe M, Cerrato E, Alfonso E, Castro Mejía AF, Roubin SR, Buzón L, Bondia E, Marin F, López Pais J, Abumayyaleh M, D’Ascenzo F, Rondano E, Huang J, Fernandez-Perez C, Macaya C, de Miguel Novoa P, Calle-Pascual AL, Estrada Perez V, Runkle I. Prognostic Impact of Hyponatremia and Hypernatremia in COVID-19 Pneumonia. A HOPE-COVID-19 (Health Outcome Predictive Evaluation for COVID-19) Registry Analysis. Front Endocrinol (Lausanne) 2020; 11:599255. [PMID: 33329400 PMCID: PMC7734292 DOI: 10.3389/fendo.2020.599255] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 11/05/2020] [Indexed: 12/20/2022] Open
Abstract
UNLABELLED Dysnatremia is associated with increased mortality in patients with community-acquired pneumonia. SARS-COV2 (Severe-acute-respiratory syndrome caused by Coronavirus-type 2) pneumonia can be fatal. The aim of this study was to ascertain whether admittance dysnatremia is associated with mortality, sepsis, or intensive therapy (IT) in patients hospitalized with SARS-COV2 pneumonia. This is a retrospective study of the HOPE-COVID-19 registry, with data collected from January 1th through April 31th, 2020. We selected all hospitalized adult patients with RT-PCR-confirmed SARS-COV2 pneumonia and a registered admission serum sodium level (SNa). Patients were classified as hyponatremic (SNa <135 mmol/L), eunatremic (SNa 135-145 mmol/L), or hypernatremic (SNa >145 mmol/L). Multivariable analyses were performed to elucidate independent relationships of admission hyponatremia and hypernatremia, with mortality, sepsis, or IT during hospitalization. Four thousand six hundred sixty-four patients were analyzed, median age 66 (52-77), 58% males. Death occurred in 988 (21.2%) patients, sepsis was diagnosed in 551 (12%) and IT in 838 (18.4%). Hyponatremia was present in 957/4,664 (20.5%) patients, and hypernatremia in 174/4,664 (3.7%). Both hyponatremia and hypernatremia were associated with mortality and sepsis. Only hyponatremia was associated with IT. In conclusion, hyponatremia and hypernatremia at admission are factors independently associated with mortality and sepsis in patients hospitalized with SARS-COV2 pneumonia. CLINICAL TRIAL REGISTRATION https://clinicaltrials.gov/ct2/show/NCT04334291, NCT04334291.
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Affiliation(s)
- Jorge Gabriel Ruiz-Sánchez
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- *Correspondence: Jorge Gabriel Ruiz-Sánchez,
| | - Ivan J. Núñez-Gil
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Martin Cuesta
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Miguel A. Rubio
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Charbel Maroun-Eid
- Hospital Universitario La Paz, Instituto de Investigación Hospital Universitario La Paz (IdiPAZ), Madrid, Spain
| | | | - Rodolfo Romero
- Hospital Universitario Getafe, Universidad Europea de Madrid, Madrid, Spain
| | | | - Aitor Uribarri
- Hospital Clinico Universitario de Valladolid, Valladolid, Spain
| | | | | | - María Molina
- Hospital Universitario Severo Ochoa, Madrid, Spain
| | | | - Martino Pepe
- Azienda ospedaliero-universitaria consorziale policlinico di Bari, Bari, Italy
| | - Enrico Cerrato
- San Luigi Gonzaga University Hospital, Orbassano and Rivoli Infermi Hospital, Rivoli, Turin, Italy
| | - Emilio Alfonso
- Institute of Cardiology and Cardiovascular Surgery, Havana, Cuba
| | | | | | - Luis Buzón
- Hospital Universitario de Burgos, Burgos, Spain
| | - Elvira Bondia
- Hospital Clínico Universitario, Incliva, Universidad de Valencia, Valencia, Spain
| | | | | | - Mohammad Abumayyaleh
- First Department of Medicine, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany, DZHK (German Center for Cardiovascular Research), Partner Site, Heidelberg-Mannheim, Mannheim, Germany
| | | | | | - Jia Huang
- The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Cristina Fernandez-Perez
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Carlos Macaya
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Paz de Miguel Novoa
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Alfonso L. Calle-Pascual
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Vicente Estrada Perez
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Isabelle Runkle
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - HOPE COVID-19 investigators
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain
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