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Overview

MeSH Disease

Human Phenotype

Transmission

Seroprevalence
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    Predicting clinical outcome with phenotypic clusters in COVID-19 pneumonia HP pneumonia MESHD: 2 an analysis of 12,066 hospitalized patients from the Spanish registry SEMI-3 COVID-19.

    Authors: Manuel Rubio-Rivas; Xavier Corbella; Jose Maria Mora-Lujan; Jose Loureiro Amigo; Almudena Lopez Sampalo; Carmen Yera Bergua; Pedro Jesus Esteve Atienzar; Luis Felipe Diez Garcia; Ruth Gonzalez Ferrer; Susana Plaza Canteli; Antia Perez Pineiro; Begona Cortes Rodriguez; Leyre Jorquer Vidal; Ignacio Perez Catalan; Marta Leon Tellez; Jose Angel Martin Oterino; Maria Candelaria Martin Gonzalez; Jose Luis Serrano Carrillo de Albornoz; Eva Garcia Sardon; Jose Nicolas Alcala Pedrajas; Anabel Martin Urda Diez Canseco; Maria Jose Esteban Giner; Pablo Telleria Gomez; Ricardo Gomez Huelgas; Jose Manuel Ramos Rincon; Nina la Cour Freiesleben; Henriette Svarre Nielsen

    doi:10.1101/2020.09.14.20193995 Date: 2020-09-15 Source: medRxiv

    (1) Background: This study aims to identify different clinical phenotypes in COVID-19 88 pneumonia HP pneumonia MESHD using cluster analysis and to assess the prognostic impact among identified clusters in 89 such patients. (2) Methods: Cluster analysis including 11 phenotypic variables was performed in a 90 large cohort of 12,066 COVID-19 patients, collected and followed-up from March 1, to July 31, 2020, 91 from the nationwide Spanish SEMI-COVID-19 Registry. (3) Results: Of the total of 12,066 patients 92 included in the study, most were males TRANS (7,052, 58.5%) and Caucasian (10,635, 89.5%), with a mean 93 age TRANS at diagnosis of 67 years (SD 16). The main pre-admission comorbidities were arterial 94 hypertension HP hypertension MESHD (6,030, 50%), hyperlipidemia HP hyperlipidemia MESHD (4,741, 39.4%) and diabetes mellitus HP diabetes mellitus MESHD (2,309, 19.2%). The 95 average number of days from COVID-19 symptom onset TRANS to hospital admission was 6.7 days (SD 7). 96 The triad of fever HP fever MESHD, cough HP cough MESHD, and dyspnea HP dyspnea MESHD was present almost uniformly in all 4 clinical phenotypes 97 identified by clustering. Cluster C1 (8,737 patients, 72.4%) was the largest, and comprised patients 98 with the triad alone. Cluster C2 (1,196 patients, 9.9%) also presented with ageusia and anosmia MESHD anosmia HP; 99 cluster C3 (880 patients, 7.3%) also had arthromyalgia, headache HP headache MESHD, and sore throat; and cluster C4 100 (1,253 patients, 10.4%) also manifested with diarrhea HP diarrhea MESHD, vomiting HP vomiting MESHD, and abdominal pain HP abdominal pain MESHD. Compared to 101 each other, cluster C1 presented the highest in-hospital mortality (24.1% vs. 4.3% vs. 14.7% vs. 102 18.6%; p<0.001). The multivariate study identified phenotypic clusters as an independent factor for 103 in-hospital death. (4) Conclusion: The present study identified 4 phenotypic clusters in patients with 104 COVID-19 pneumonia HP pneumonia MESHD, which predicted the in-hospital prognosis of clinical outcomes.

    Clinical Characteristics, Risk Factors and Predictive Value of COVID-19 Pneumonia HP: A Retrospective Study of 173 Patients in Wuhan, China

    Authors: Yang Zhang; Jun Xue; Mi Yan; Jing Chen; Hai Liu; Shao-Bo Wang; Jian-Xing Luo; Fang Yang; Jian-Yuan Tang; Xiao-Yu Hu

    doi:10.21203/rs.3.rs-76134/v1 Date: 2020-09-11 Source: ResearchSquare

    Background: COVID-19 is a globally emerging infectious disease MESHD. As the global epidemic continues to spread, the risk of COVID-19 transmission TRANS and diffusion in the world will also remain. Currently, several studies describing its clinical characteristics have focused on the initial outbreak, but rarely to the later stage. Here we described clinical characteristics, risk factors for disease severity and in-hospital outcome in patients with COVID-19 pneumonia HP pneumonia MESHD from Wuhan. Methods: Patients with COVID-19 pneumonia HP pneumonia MESHD admitted to Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from February 13 to March 8, 2020, were retrospectively enrolled. Multivariable logistic regression analysis was used to identify risk factors for disease severity and in-hospital outcome and establish predictive models. Receiver operating characteristic (ROC) curve was used to assess the predictive value of above models.Results: 106 (61.3%) of the patients were female TRANS. The mean age TRANS of study populations was 62.0 years, of whom 73 (42.2%) had underlying comorbidities mainly including hypertension HP hypertension MESHD (24.9%). The most common symptoms on admission were fever HP fever MESHD (67.6%) and cough HP (60.1%), digestive symptoms (22.0%) was also very common. Older age TRANS (OR: 3.420; 95%Cl: 1.415-8.266; P=0.006), diarrhea HP diarrhea MESHD (OR: 0.143; 95%Cl: 0.033-0.611; P=0.009) and lymphopenia HP lymphopenia MESHD (OR: 4.769; 95%Cl: 2.019-11.266; P=0.000) were associated with severe illness on admission; the area under the ROC curve (AUC) of predictive model were 0.860 (95%CI: 0.802-0.918; P=0.000). Older age TRANS (OR: 0.309; 95%Cl: 0.142-0.674; P=0.003), leucopenia (OR: 0.165; 95%Cl: 0.034-0.793; P=0.025), increased lactic dehydrogenase (OR: 0.257; 95%Cl: 0.100-0.659; P=0.005) and interleukins-6 levels (OR: 0.294; 95%Cl: 0.099-0.872; P=0.027) were associated with poor in-hospital outcome; AUC of predictive model were 0.752 (95%CI: 0.681-0.824; P=0.000).Conclusion: Older patients with diarrhea HP diarrhea MESHD and lymphopenia HP lymphopenia MESHD need early identification and timely intervention to prevent the progression to severe COVID-19 pneumonia HP pneumonia MESHD. However, older patients with leucopenia, increased lactic dehydrogenase and interleukins-6 levels are at a high risk for poor in-hospital outcome.Trial registration: ChiCTR2000029549

    Convalescent plasma SERO as potential therapy for severe COVID-19 pneumonia HP pneumonia MESHD.

    Authors: Ricardo Valentini; Juan Dupont; Jose Fernandez; Jorge Solimano; Fernando Palizas; Dardo Riveros; Pablo Saul; Laura Dupont; Juan Medina; Viviana Falasco; Florencia Fornillo; Julia Laviano; Daniela Maymo; Daniel Gotta; Alfredo Martinez; Pablo Bonvehi

    doi:10.1101/2020.09.01.20184390 Date: 2020-09-07 Source: medRxiv

    At the beginning of the COVID-19 pandemic, there was high mortality and a lack of effective treatment for critically ill MESHD patients. Build on the experience in argentine hemorrhagic fever MESHD fever HP with convalescent plasma SERO, we incorporated 90 patients into a multicenter study, and 87 were evaluable. We collected 397 donations from 278 convalescent donors. Patients received plasma SERO with an IgG concentration of 0.7-0.8 (measured by Abbott chemiluminescence) for every 10 kg of body weight. Survival during the first 28 days was the primary objective. 77% were male TRANS, age TRANS 54 (+/-15.6 y/o (range 27-85); body mass index 29.7 +/-; 4,4; hypertension HP 39% and diabetes 20%; 19.5% had an immunosuppression condition; 23% were healthcare workers. Plasma SERO was administered to 55 patients (63%) on spontaneous breathing with oxygen supplementation (mainly oxygen mask with reservoir bag in 80%), and 32 patients (37%) were infused on mechanical ventilation. The 28-day survival rate was 80%, with 91% in patients infused on spontaneous breathing and 63% in those infused on mechanical ventilation (p = 0.0002). There was a significant improvement in the WHO pneumonia HP clinical scale at 7 and 14 days, and in PaO2 / FiO2, ferritin and LDH, in the week post-infusion. We observed an episode of circulatory volume overload and a febrile reaction, both mild. Convalescent plasma SERO infusions are feasible, safe, and potentially effective, especially before requiring mechanical ventilation, and are an attractive clinical option for treating severe forms of COVID-19 until other effective therapies become available.

    Positive association of Angiotensin II Receptor Blockers, not Angiotensin-Converting Enzyme Inhibitors, with an increased vulnerability to SARS-CoV-2 infection MESHD in patients hospitalized for suspected COVID-19 pneumonia HP pneumonia MESHD

    Authors: Jean-Louis GEORGES; Floriane Floriane Gilles; Helene Cochet; Alisson Bertrand; Marie De Tournemire; Victorien Monguillon; Maeva Pasqualini; Alix Prevot; Guillaume Roger; Joseph Saba; Josephine Soltani; Mehrsa Koukabi-Fradelizi; Jean Paul Beressi; Cecile Laureana; Jean Fran&ccedilois Prost; Livarek Bernard; Elisabet Leiva; Albert Ariza-Sole; Paolo D Dallaglio; Maria Quero; Antonio Soriano; Alberto Pasqualetto; Maylin Koo; Virginia Esteve; Arnau Antoli; Rafael Moreno; Sergi Yun; Pau Cerda; Mariona Llaberia; Francesc Formiga; Marta Fanlo; Abelardo Montero; David Chivite; Olga Capdevila; Ferran Bolao; Xavier Pinto; Josep Llop; Antoni Sabate; Jordi Guardiola; Josep M Cruzado; Josep Comin-Colet; Salud Santos; Ramon Jodar; Xavier Corbella

    doi:10.1101/2020.08.30.20182451 Date: 2020-09-01 Source: medRxiv

    Background. Angiotensin converting enzyme (ACE) type 2 is the receptor of SARSCoV-2 for entry into lungs cells. Because ACE-2 may be modulated by ACE inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs), there is concern that patients treated with ACEIs and ARBs are at higher risk for COVID-19 infection MESHD. Aim. This study sought to analyze the association of COVID-19 with previous treatment with ACEI and ARB. Methods. We retrospectively reviewed 684 consecutive patients hospitalized for suspected COVID-19 pneumonia HP pneumonia MESHD and tested by PCR. Patients were split into 2 groups, whether (group 1, n=484) or not (group 2, n=250) COVID-19 was confirmed. Multivariate adjusted comparisons included a propensity score analysis. Results Age TRANS was 63.6 {+/-} 18.7 years, and 302(44%) were female TRANS. Hypertension HP Hypertension MESHD was present in 42.6% and 38.4% patients of group 1 and 2, respectively (P=0.28). A treatment with ARBs (20.7% versus 12.0%, respectively, OR 1.92, 95% confidence interval [1.23-2.98], p=0.004) was more frequent in patients of group 1 than in group 2. No difference was found for treatment with ACEIs (12.7% vs 15.7%, respectively, OR 0.81 [0.52-1.26], p=0.35). Propensity score matched multivariate logistic regression confirmed a significant association between COVID-19 and a previous treatment with ARBs (adjusted OR 2.18 [1.29-3.67], p=0.004). Significant interaction between ARBs and ACEIs for the risk of COVID-19 was observed in patients aged TRANS>60, women, and hypertensive MESHD patients. Conclusion . This study suggests that ACEIs and ARBs are not similarly associated with the COVID-19. In this retrospective series, patients with COVID-19 pneumonia HP pneumonia MESHD received more frequently a previous treatment with ARBs, than patients without COVID-19.

    Clinical Characteristics of Severe Covid Pneumonia HP: Exploring New Trends in ICU

    Authors: Aftab Akhtar; Sheher Bano; Ahtesham Iqbal; Moazma Ramzan; Aayesha Qadeer; Syed Waqar Hussain; Anam Saleem; Omair-ul-Haq Lodhi; Sana Zubair; Abdul Hameed kiani

    doi:10.21203/rs.3.rs-69224/v1 Date: 2020-08-31 Source: ResearchSquare

    Background: In late December 2019, Covid-19 emerged as clusters of pneumonia HP pneumonia MESHD of unknown cause in a province of china, Wuhan. Etiological agent was identified as novel coronavirus that resembles severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East Respiratory syndrome coronavirus (MERS-CoV) MESHD and has zoonotic transmission TRANS. Covid pneumonia HP can remain asymptomatic TRANS, present as mild infection, severe HP infection, severe MESHD pneumonia HP pneumonia MESHD or respiratory failure HP respiratory failure MESHD. Diagnosis is based on rRT-PCR carried out on respiratory secretions. Covid related mortality exceeds 50% once patient requires ICU admission. Objective: To study the characteristics of ICU population admitted to ICU of Shifa International hospital.Results: we prospectively analysed 74 patients which included 43.3% females TRANS and 56.7% males TRANS. Commonest symptoms were shortness of breath MESHD (94.5%), fever HP fever MESHD (74.3%) and cough HP (74.3%). Most of our study population consisted of non-smokers (79.7%) and had hypertension HP hypertension MESHD (59.4%) followed by diabetes MESHD (47.2%). Hydroxychloroquine (HCQ) and azithromycin combination is superior to hydroxychloroquine and doxycycline in reducing mortality (p=0.023) whereas Doxycycline alone resulted in increased mortality (p=0.009). Those who did not require antibiotics or required only narrow spectrum antibiotics had increased survival and reduced requirement of invasive mechanical ventilation (p=< 0.0001). in our study population, (44.9%) developed acute kidney injury HP acute kidney injury MESHD, 2.7% needed re-intubations 10.8% developed surgical emphysema HP emphysema MESHD and 2.7 % thromboembolic MESHD events despite full anticoagulation. ICU mortality was 41.8% and was higher in females TRANS (59.4%, p=0.008), those who had SOFA score > 3.5 at time of admission, raised D-Dimers > 931 ng/ml, NLR > 9.2. It was further high in those who required invasive mechanical ventilation and vasopressor support (58.1% mortality p=< 0.001). ICU stay was more prolonged in those requiring invasive mechanical ventilation as compared to those who did not. (23 days vs 6 days, p=0.001). Mean plateau pressure was 19.6 ± 7.6; mean Driving pressures 14.4 ± 4.6; mean PaO2/FiO2 150.7 ± 73.9; mean SPO2/FiO2 173.9 ± 106.9; mean PEEP was 8.2 ±4.33.Conclusion: We concluded that severe covid pneumonia HP pneumonia MESHD is common amongst males TRANS, non-smokers those who had comorbid. HCQ and azithromycin combination is superior to combination of HCQ and doxycycline or doxycycline alone and QT prolongation MESHD is a rare complication. Baseline NLR, APACHI II, SOFA, SAPS II, NUTRIC scores, D-Dimers, invasive ventilation and vasopressor support are important tools to predict ICU mortality. Invasive mechanical ventilation carries higher mortality and associated with more prolonged ICU stay. AKI is most common complication followed by shock HP and surgical emphysema HP emphysema MESHD. CRP, Ferritin levels has no impact on outcome.

    Clinical characteristics study of elderly TRANS patients aged TRANS 75 or older with COVID-19 pneumonia HP pneumonia MESHD in China

    Authors: Chao Zhang; Hua Fu; Long Zhang; Yuxiong Yin; Jing Lin; Hu Liu; Qing Mao

    doi:10.21203/rs.3.rs-67737/v1 Date: 2020-08-28 Source: ResearchSquare

    Background: Coronavirus disease 2019 (COVID-19), a newly emerged respiratory disease MESHD caused by severe acute respiratory syndrome coronavirus 2 MESHD (SARS-CoV-2), has recently become pandemic. Clinical observation indicated that elderly TRANS patients had high incidence of severe pneumonia HP pneumonia MESHD and poor treatment efficacy. Therefore, this study was to clarify the characteristics of elderly TRANS patients aged TRANS 75 or older with COVID-19 pneumonia HP pneumonia MESHD in order to guide rational treatment for elderly TRANS patients. Methods: we enrolled 331 elderly TRANS patients aged TRANS 75 or older with confirmed COVID-19 in Huoshenshan hospital of Wuhan from February 3rd to March 31st. The cases were divided into general, serious and critical groups according to severity after hospitalization, and the difference among groups were compared by R package statistics software. Results: Compared with general group, serious and critical groups had more underlying comorbidities and higher incidence of cough HP cough MESHD, breath shortness MESHD and anorexia HP anorexia MESHD. Moreover, there existed obviously differences in many of laboratory indexes and CT images among them. serious and critical elderly TRANS patients were more likely to receive oxygen, mechanical ventilation, expectorant, corticosteroid, abidor, cephaloprin, imipenem, human serum SERO albumin (HSA), nutrition support, anti SARS-CoV-2 positive plasma SERO and actemra. Multivariate analysis of factors showed that male TRANS sex, hypertension HP hypertension MESHD, diabetes MESHD, renal diseases MESHD, breath shortness MESHD, neutrophil, platelet, creatinine, lactate dehydrogenase were the risk factor for serious and critical illness. While blood SERO cell (WBC) was the protective factor. Conclusion: elderly TRANS patients have high incidence of severe pneumonia HP pneumonia MESHD and poor treatment efficacy. The reasons might be that many of the elderly TRANS patients with COVID-19 pneumonia HP pneumonia MESHD have certain chronic disease MESHD, poor immune function and a meager response to the virus. the pathogenic mechanism of SARS-CoV-2 might be involved in the cell-mediated immunity and cytokine storms by acting on lymphocytes.

    Clinical Course and Risk Factors for severe Disease MESHD and Death of Adult Critically MESHD Adult TRANS Critically Ill Inpatients with COVID-19 in Toulouse, France: A Retrospective Cohort Study

    Authors: William Buffières; Benjamine Sarton; Charline Zadro; Fanny Vardon Bounes; Vincent Minville; Bernard Georges; Thierry Seguin; Jean Marie Conil; Stephanie Ruiz; Samia Collot; Guillaume Ducos; Marie Virtos; Diane Osinski; David Rousset; Thomas Geeraerts; Thomas Filleron; Benoit Bataille; Jacques Izopet; Jean Ruiz; Veronique Ramonda; Olivier Fourcade; Beatrice Riu; Damien Guinault; Stein Silva

    doi:10.21203/rs.3.rs-66770/v1 Date: 2020-08-27 Source: ResearchSquare

    BackgroundTo explore risk factors for unfavorable outcome ( death MESHD or requiring invasive mechanical ventilation at 28 days from ICU admission) of critically ill COVID-19 patients hospitalized in the Toulouse regionMethodsRetrospective cohort of critically ill COVID-19 patients sequentially admitted to 12 ICUs in Toulouse region (March 9, 2020, to April 8, 2020). All patients had laboratory confirmed SARS-CoV-2 infection MESHD and required invasive mechanical ventilation. Baseline characteristics, pathophysiological respiratory data, clinical outcomes, viral shredding, and chest CT scan were collected.ResultsA total of 150 patients were included (median age TRANS, 68 years (interquartile range, (IQR), 58-72; 81% male TRANS). The most common comorbidities were hypertension HP (77, 51%) and obesity HP (42, 28%). At ICU admission, the median PaO2/FiO2 ratio was 138 (IQR,112-178). During hospitalization, the rate of ventilator-acquired pneumonia HP (VAP) was 61% and 51 (34%) patients had acute kidney injury HP (AKI) with a Kidney Disease Improving Global Outcomes (KDIGO) score > 1. The 28-day mortality was 15.3%, and 50 (33%) patients had unfavorable outcome. We found that VAP (5.91; 2.10-10.03; p value = 0.002) and AKI with a KDIGO score > 1 (4.71; 1.69-14.41; p value = 0.004) were associated with increased odds of unfavorable outcome. Neither, chest CT scan data on admission, nor pathophysiological respiratory data during ICU stay were associated to patient’s outcome.ConclusionThe potential risk factors of AKI and VAP could help clinicians to identify patients with poor prognosis at an early stage. Targeted care of these factors might have a significant impact on COVID-19 patient’s outcome.

    Artificial Intelligence Based Study on Analyzing of Habits and with History of Diseases MESHD of Patients for Prediction of Recurrence of Disease Due to COVID-19

    Authors: Samir Kumar Bandyopadhyay; Shawni Dutta

    id:10.20944/preprints202008.0542.v1 Date: 2020-08-25 Source: Preprints.org

    A patient will visit physicians when he/she feels ill. This illness is not for COVID-19 but it is a general tendency of human being to visit doctor probably it can not be controlled by general drug. When a patient comes to a doctor, the doctor examines him/her after knowing his/her problem. The physician always asks him/her about some questions related to him/her daily life. For example, if a young male TRANS patient comes to a doctor with a symptom of fever HP fever MESHD and cough HP cough MESHD, the first question doctor asked him that he has a habit of smoking. Then doctor asks him whether this type of symptom appeared often to him previously or not. If the answers of both questions are yes, then the first one is habit and the second one is that he may suffering from some serious disease MESHD or a disease due to the weather. The aim of this paper is to consider habit of the patient as well as he/she has been affected by a critical disease. This information is used to build a model that will predict whether there is any possibility of his/her being affected by COVID-19. This research work contributes to tackle the pandemic situation occurred due to Corona Virus Infectious Disease MESHD, 2019 (Covid-19). Outbreak of this disease happens based on numerous factors such as past health records and habits of patients. Health records include diabetes tendency MESHD, cardiovascular disease MESHD existence, pregnancy, asthma HP asthma MESHD, hypertension HP hypertension MESHD, pneumonia HP pneumonia MESHD; chronic renal disease MESHD may contribute to this disease occurrence. Past lifestyles such as tobacco, alcohol consumption may be analyzed. A deep learning based framework is investigated to verify the relationship between past health records, habits of patients and covid-19 occurrence. A stacked Gated Recurrent Unit (GRU) based model is proposed in this paper that identifies whether a patient can be infected by this disease or not. The proposed predictive system is compared against existing benchmark Machine Learning classifiers such as Support Vector Machine (SVM) and Decision Tree (DT).

    Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19

    Authors: Sakifa Aktar; Ashis Talukder; Md. Martuza Ahamad; A. H. M. Kamal; Jahidur Rahman Khan; Md. Protikuzzaman; Nasif Hossain; Julian M. W. Quinn; Mathew A. Summers; Teng Liaw; Valsamma Eapen; Mohammad Ali Moni

    id:2008.12683v1 Date: 2020-08-21 Source: arXiv

    Background: Providing appropriate care for people suffering from COVID-19, the disease caused by the pandemic SARS-CoV-2 virus is a significant global challenge. Many individuals who become infected have pre-existing conditions that may interact with COVID-19 to increase symptom severity and mortality risk. COVID-19 patient comorbidities are likely to be informative about individual risk of severe illness and mortality. Accurately determining how comorbidities are associated with severe symptoms and mortality would thus greatly assist in COVID-19 care planning and provision. Methods: To assess the interaction of patient comorbidities with COVID-19 severity and mortality we performed a meta-analysis of the published global literature, and machine learning predictive analysis using an aggregated COVID-19 global dataset. Results: Our meta-analysis identified chronic obstructive pulmonary disease HP obstructive pulmonary disease MESHD ( COPD MESHD), cerebrovascular disease MESHD ( CEVD MESHD), cardiovascular disease MESHD ( CVD MESHD), type 2 diabetes MESHD, malignancy MESHD, and hypertension HP hypertension MESHD as most significantly associated with COVID-19 severity in the current published literature. Machine learning classification using novel aggregated cohort data similarly found COPD MESHD, CVD MESHD, CKD, type 2 diabetes MESHD, malignancy MESHD and hypertension HP hypertension MESHD, as well as asthma HP, as the most significant features for classifying those deceased versus those who survived COVID-19. While age TRANS and gender TRANS were the most significant predictor of mortality, in terms of symptom-comorbidity combinations, it was observed that Pneumonia HP Pneumonia MESHD- Hypertension HP, Pneumonia HP Pneumonia MESHD-Diabetes and Acute Respiratory Distress HP Respiratory Distress MESHD Syndrome ( ARDS MESHD)- Hypertension HP Hypertension MESHD showed the most significant effects on COVID-19 mortality. Conclusions: These results highlight patient cohorts most at risk of COVID-19 related severe morbidity and mortality which have implications for prioritization of hospital resources.

    Clinical course and severity outcome indicators among COVID 19 hospitalized patients in relation to comorbidities distribution Mexican cohort

    Authors: Genny Carrillo; Nina Mendez Dominguez; Kassandra D Santos Zaldivar; Andrea Rochel Perez; Mario Azuela Morales; Osman Cuevas Koh; Alberto Alvarez Baeza

    doi:10.1101/2020.07.31.20165480 Date: 2020-08-04 Source: medRxiv

    Introduction: COVID-19 affected worldwide, causing to date, around 500,000 deaths. In Mexico, by April 29, the general case fatality was 6.52%, with 11.1% confirmed case TRANS mortality and hospital recovery rate around 72%. Once hospitalized, the odds for recovery and hospital death rates depend mainly on the patients' comorbidities and age TRANS. In Mexico, triage guidelines use algorithms and risk estimation tools for severity assessment and decision-making. The study's objective is to analyze the underlying conditions of patients hospitalized for COVID-19 in Mexico concerning four severity outcomes. Materials and Methods: Retrospective cohort based on registries of all laboratory-confirmed patients with the COVID-19 infection MESHD that required hospitalization in Mexico. Independent variables were comorbidities and clinical manifestations. Dependent variables were four possible severity outcomes: (a) pneumonia HP pneumonia MESHD, (b) mechanical ventilation (c) intensive care unit, and (d) death; all of them were coded as binary Results: We included 69,334 hospitalizations of laboratory-confirmed and hospitalized patients to June 30, 2020. Patients were 55.29 years, and 62.61% were male TRANS. Hospital mortality among patients aged TRANS<15 was 9.11%, 51.99% of those aged TRANS >65 died. Male TRANS gender TRANS and increasing age TRANS predicted every severity outcome. Diabetes MESHD and hypertension HP hypertension MESHD predicted every severity outcome significantly. Obesity HP did not predict mortality, but CKD, respiratory diseases MESHD, cardiopathies were significant predictors. Conclusion: Obesity HP increased the risk for pneumonia HP pneumonia MESHD, mechanical ventilation, and intensive care admittance, but it was not a predictor of in-hospital death. Patients with respiratory diseases MESHD were less prone to develop pneumonia HP pneumonia MESHD, to receive mechanical ventilation and intensive care unit assistance, but they were at higher risk of in-hospital death.

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MeSH Disease
Human Phenotype
Transmission
Seroprevalence


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