scholarly journals Fatal hemorrhagic pneumonia in patients with hematologic diseases and Stenotrophomonas maltophilia bacteremia: a retrospective study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lixia Zhu ◽  
Lulu Wang ◽  
Yuping Zhang ◽  
Rongrong Chen ◽  
Xueying Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Stenotrophomonas Maltophilia ◽  
Clinical Characteristics ◽  
Clinical Manifestations ◽  
Hematologic Diseases ◽  
Hemorrhagic Pneumonia ◽  
Independent Risk Factors ◽  
High Level ◽  
Clinical Records ◽  
Overall Mortality

Abstract Background Fatal hemorrhagic pneumonia is one of the most severe manifestations of Stenotrophomonas maltophilia (SM) infections. Here, we aimed to investigate the clinical characteristics of SM bacteremia and to identify the risk factors of hemorrhagic pneumonia caused by SM in patients with hematologic diseases. Methods The clinical records of 55 patients diagnosed with hematologic diseases and SM bacteremia were retrospectively reviewed. We compared patients’ clinical characteristics and outcomes between the hemorrhagic pneumonia group and non-hemorrhagic pneumonia group. Results Twenty-seven (49.1%) patients developed hemorrhagic pneumonia. The overall mortality rate of SM bacteremia was 67.3%. Hemorrhagic pneumonia (adjusted HR 2.316, 95% CI 1.140–4.705; P = 0.020) was an independent risk factor of 30-day mortality in hematological patients with SM bacteremia. Compared with the non-hemorrhagic pneumonia group, patients in the hemorrhagic pneumonia group were older and showed clinical manifestations as higher proportions of isolated SM in sputum culture, neutropenia and elevated procalcitonin (PCT). Multivariate analysis showed that neutropenia, high levels of PCT, prior tigecycline therapy within 1 month were independent risk factors associated with hemorrhagic pneumonia. Conclusions Neutropenia, high level of PCT and prior tigecycline therapy within 1 month were significant independent predictors of hemorrhagic pneumonia in hematologic patients with SM bacteremia. Due to no effective antibiotics to prevent hemorrhagic pneumonia, prophylaxis of SM infection and its progression to hemorrhagic pneumonia is particularly important.

scholarly journals Fatal hemorrhagic pneumonia in patients with hematologic diseases and Stenotrophomonas maltophilia bacteremia: a retrospective study

2021 ◽  
Author(s):  
Lixia ZHU ◽  
Lulu Wang ◽  
Yuping Zhang ◽  
Rongrong Chen ◽  
Xueying Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Stenotrophomonas Maltophilia ◽  
Clinical Characteristics ◽  
Clinical Manifestations ◽  
Hematologic Diseases ◽  
Hemorrhagic Pneumonia ◽  
Life Threatening ◽  
High Level ◽  
Clinical Records

Abstract Background Fatal hemorrhagic pneumonia is one of the most severe manifestations of Stenotrophomonas maltophilia (SM) infections. Here, we aimed to investigate the clinical characteristics of SM bacteremia and to identify the risk factors of hemorrhagic pneumonia caused by SM in patients with hematologic diseases. Methods The clinical records of 55 patients diagnosed with hematologic diseases and SM bacteremia were retrospectively reviewed. We compared patients’ clinical characteristics and outcomes between the hemorrhagic pneumonia group and non-hemorrhagic pneumonia group. Results Twenty-seven (49.1%) patients developed hemorrhagic pneumonia. The overall mortality rate of SM bacteremia was 67.3%. The 30-day mortality rate was significantly higher in patients with hemorrhagic pneumonia than those without hemorrhagic pneumonia (85.2% and 50.0%, respectively, P = 0.003). Compared with the non-hemorrhagic pneumonia group, patients in the hemorrhagic pneumonia group were older and showed clinical manifestations as higher proportions of isolated SM in sputum culture, neutropenia and elevated procalcitonin. Multivariate analysis showed that neutropenia, high levels of procalcitonin, prior tigecycline therapy within 1 month were independent risk factors associated with hemorrhagic pneumonia. Conclusions Hematologic patients with SM bacteremia who have neutropenia, high level of procalcitonin and prior tigecycline therapy within 1 month should be early treated with combined effective antibiotics and best supportive interventions to avoid life-threatening hemorrhagic pneumonia.

scholarly journals Clinical characteristics and prognostic factors of patients with Stenotrophomonas maltophilia infections

2017 ◽  
Vol 9 (02) ◽  
pp. 132-135 ◽  
Author(s):  
Priyam Batra ◽  
Purva Mathur ◽  
Mahesh C. Misra
Keyword(s):  
Risk Factors ◽  
Hospital Mortality ◽  
Stenotrophomonas Maltophilia ◽  
Clinical Characteristics ◽  
Resistance Pattern ◽  
Pathogenic Potential ◽  
Factors Associated ◽  
Venous Catheterization ◽  
Potential Pathogen ◽  
Independent Risk Factors

Abstract INTRODUCTION: Stenotrophomonas maltophilia earlier had limited pathogenic potential, but now with growing degree of immunosuppression in general population, it is being recognized as an important nosocomial pathogen. METHODOLOGY: A retrospective 7 years study was carried out to determine the clinical characteristics of all patients with Stenotrophomonas infections, antibiotic resistance pattern, and risk factors associated with hospital mortality. All patients with Stenotrophomonas culture positivity were identified and their medical records were reviewed. Risk factor associated with hospital mortality was analyzed. RESULTS: A total of 123 samples obtained from 88 patients were culture positive. Most patients presented with bacteremia (45, 51%) followed by pneumonia (37, 42%) and skin and soft tissue infections (6, 7%). About 23 of 88 Stenotrophomonas infected patients had co-infection. Percentage resistance to cotrimoxazole; 8 (5.4%) was lower than that for levofloxacin; 18 (12%). Twenty-eight patients died during hospital stay. Intensive Care Unit admission (P = 0.0002), mechanical ventilation (P = 0.0004), central venous catheterization (P = 0.0227), urethral catheterization (P = 0.0484), and previous antibiotic intake (P = 0.0026) were independent risk factors associated with mortality. CONCLUSION: Our findings suggest that Stenotrophomonas can cause various infections irrespective of patient’s immune status and irrespective of potential source. Thus, Stenotrophomonas should be thought of as potential pathogen and its isolation should be looked with clinical suspicion.

scholarly journals The Clinical Characteristics of ARDS in Children With Hematological Neoplasms

2021 ◽  
Vol 9 ◽  
Author(s):  
Qiao Zhang ◽  
Wen-ting Hu ◽  
Fan Yin ◽  
Han Qian ◽  
Ying Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Hospital Stay ◽  
Clinical Characteristics ◽  
Length Of Hospital Stay ◽  
Fluid Volume ◽  
Survival Group ◽  
Total Length ◽  
Hematological Neoplasms ◽  
Independent Risk Factors ◽  
Overall Mortality

In order to explore the clinical characteristics of pediatric patients admitted to the pediatric intensive care unit (PICU) who suffered from hematological neoplasms complicated with acute respiratory distress syndrome (ARDS), we retrospectively analyzed 45 ARDS children with hematological neoplasms who were admitted to the PICU of Shanghai Children's Medical Center from January 1, 2014, to December 31, 2020. The 45 children were divided into a survival group and a non-survival group, a pulmonary ARDS group and an exogenous pulmonary ARDS group, and an agranulocytosis group and a non-agranulocytosis group, for statistical analysis. The main clinical manifestations were fever, cough, progressive dyspnea, and hypoxemia; 55.6% (25/45) of the children had multiple organ dysfunction syndrome (MODS). The overall mortality rate was 55.6% (25/45). The vasoactive inotropic score (VIS), pediatric critical illness scoring (PCIS), average fluid volume in the first 3 days and the first 7 days, and the incidence of MODS in the non-survival group were all significantly higher than those in the survival group (P < 0.05). However, total length of mechanical ventilation and length of hospital stay and PICU days in the non-survival group were significantly lower than those in the survival group (P < 0.05). The PCIS (OR = 0.832, P = 0.004) and the average fluid volume in the first 3 days (OR = 1.092, P = 0.025) were independent risk factors for predicting death. Children with exogenous pulmonary ARDS were more likely to have MODS than pulmonary ARDS (P < 0.05). The mean values of VIS, C-reactive protein (CRP), and procalcitonin (PCT) in children with exogenous pulmonary ARDS were also higher (P < 0.05). After multivariate analysis, PCT was independently related to exogenous pulmonary ARDS. The total length of hospital stay, peak inspiratory pressure (PIP), VIS, CRP, and PCT in the agranulocytosis group were significantly higher than those in the non-agranulocytosis group (P < 0.05). Last, CRP and PIP were independently related to agranulocytosis. In conclusion, children with hematological neoplasms complicated with ARDS had a high overall mortality and poor prognosis. Children complicated with MODS, positive fluid balance, and high VIS and PCIS scores were positively correlated with mortality. In particular, PCIS score and average fluid volume in the first 3 days were independent risk factors for predicting death. Children with exogenous pulmonary ARDS and children with agranulocytosis were in a severely infected status and more critically ill.

scholarly journals Clinical characteristics of COVID-19 and establishment of a disease risk prediction model

2020 ◽  
Author(s):  
Tao Fan ◽  
Bo Hao ◽  
Shuo Yang ◽  
Bo Shen ◽  
Zhixin Huang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Prediction Model ◽  
Risk Prediction ◽  
Clinical Characteristics ◽  
Disease Risk ◽  
Clinical Manifestations ◽  
Risk Prediction Model ◽  
Common Symptom ◽  
Severe Group ◽  
Independent Risk Factors

Abstract Background: COVID-19 is spreading worldwide. No specific medicine has been used for the treatment of coronavirus infections. The aim of this study is to establish a new risk predictive model to screen potential critical patients for early intervention.Methods: In this study, Clinical characteristics were collected and analyzed from 317 confirmed cases of COVID-19. A total of 175 of the 317 cases with detailed examination results were included to establish models for predicting the risk of disease progression. Major independent risk factors were incorporated into MuLBSTA model to establish new models for predicting critical risk. We further tracked 25 mild or moderate patients with COVID-19 to research dynamic changes of the major independent risk factors in COVID-19 progression.Results: The average age of all of the 317 patients was 47.76 (SD 17.22). A total of 48 (15.14%) were diagnosed with mild disease with a median age of 34(39.29±13.04), 116(36.59%) were diagnosed with moderate disease with a median age of 34(38.78±12.32), 38(11.99%) were diagnosed as severe with a median age of 56(58.24±15.12), and 115(36.28) were diagnosed as critical with a median age of 59(56.89+17.09). The most common symptom at onset of illness were fever(211[66.56%] patients). Age>50, CK>64, CD4≤461, and CD8≤241 were predicted to be major independent risk factors that could promote COVID-19 progression. Compared with the MuLBSTA model, the predictive ability of the CD4-CD8-MuLBSTA model and the CD4-MuLBSTA model were improved by 11.87% and 11.79%, respectively. In the prospective study, CK value began to show significant differences from day13. The average CD4 in Severe Group began to decline significantly on the fourth day, and the CD8 maintained a relatively low level in the Severe Group after day13.Conclusions: Severe COVID-19 patients were significantly older than non-severe patients. Immune systems of severe COVID-19 patients were significantly suppressed, and advanced age(>50 years), low levels of CD4(≤461) or CD8(≤241) was important clinical manifestations of rapid deterioration. CK values in severe COVID-19 patients were significantly higher than in no severe patients. CD4 and CD8 were incorporated into the MuLBSTA to establish a new model, which is an ideal risk prediction model for COVID-19 patients.

scholarly journals 369. Clinical Characteristics of the First 177 Patients Admitted with COVID-19 at a Bronx Community Hospital

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S254-S254
Author(s):  
Victoria Bengualid ◽  
Maria Martinez ◽  
Zhenisa Hysenaj ◽  
Debra M Willner ◽  
Judith Berger
Keyword(s):  
Oxygen Saturation ◽  
Clinical Characteristics ◽  
Clinical Manifestations ◽  
Gastrointestinal Symptoms ◽  
Retrospective Chart Review ◽  
Patient Characteristics ◽  
Altered Mental Status ◽  
Channel Blockers ◽  
First Case ◽  
Overall Mortality

Abstract Background The first case of COVID-19 was admitted on March 15th 2020 to our community based hospital in the Bronx, NY. The aim of this study is to describe the clinical characteristics and outcome of these first COVID-19 patients. Patient Characteristics and Outcome Methods IRB approved retrospective chart review study of all COVID-19 patients admitted during March 2020 focusing on patient characteristics, co-morbidities, clinical manifestations and outcome. Results A total of 177 patients were admitted during March 2020: 57% African American 23.1% Hispanic and 16.9% White. 44.9% female, average age 60 years, and 90% had at least one comorbidity. Outcome was available on all patients except for one who was transferred to another institution for ECMO. Overall mortality was 33%. Clinical presentation: 69.4% presented with cough or shortness of breath, 15.8% with diarrhea, nausea, vomiting or abdominal pain, and 14.6% with myalgia, dizziness or altered mental status. 6.2% presented only with fever. However 59.8% of patients presented with fever and respiratory or gastrointestinal symptoms. Mortality The table compares patients who died vs discharged (either home or to a short term facility). Those that were 65 years or older, hypertensive or presented to the ER with an oxygen saturation of 94% or lower, were more likely to die. Ventilated patients: 31.6% of patients were intubated with a mortality rate of 77%. 22% of these patients were intubated in the first 24 hours. Compared to non-intubated patients, there was no difference in BMI, diabetes, hypertension, COPD/Asthma, use of statins, aspirin or calcium channel blockers. Intubated patients older than 64 years had significantly higher mortality rates (p=0.0001). Conclusion This cohort of COVID-19 patients is unique as almost all received Hydroxychloroquine and Azithromycin. Only 9% received steroids and even fewer received an interleukin-6 inhibitor, convalescent plasma or Remdesivir. African Americans and Hispanics accounted for 80% of patients. Greater than 90% received Medicaid. Overall mortality was 33%. The most common presentation was respiratory followed by gastrointestinal symptoms. The overall mortality was 33% but increased to 77% in intubated patients. Age, hypertension, and ER oxygen saturation correlated with mortality. Disclosures All Authors: No reported disclosures

The Clinical Characteristics of Obese Patients with Acanthosis Nigricans and Its Independent Risk Factors

2017 ◽  
Vol 125 (03) ◽  
pp. 191-195 ◽  
Author(s):  
Yueye Huang ◽  
Jiaqi Chen ◽  
Xingchun Wang ◽  
Yan Li ◽  
Shezhen Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Clinical Characteristics ◽  
Acanthosis Nigricans ◽  
Obese Patients ◽  
Independent Risk Factors

scholarly journals Age-Related Risk Factors and Complications of Patients With COVID-19: A Population-Based Retrospective Study

2022 ◽  
Vol 8 ◽  
Author(s):  
Han Zhang ◽  
Yingying Wu ◽  
Yuqing He ◽  
Xingyuan Liu ◽  
Mingqian Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Retrospective Study ◽  
Age Groups ◽  
Clinical Manifestations ◽  
Population Based ◽  
Male Gender ◽  
Poor Correlation ◽  
Age Related ◽  
Related Risk ◽  
Independent Risk Factors

Objective: To study the differences in clinical characteristics, risk factors, and complications across age-groups among the inpatients with the coronavirus disease 2019 (COVID-19).Methods: In this population-based retrospective study, we included all the positive hospitalized patients with COVID-19 at Wuhan City from December 29, 2019 to April 15, 2020, during the first pandemic wave. Multivariate logistic regression analyses were used to explore the risk factors for death from COVID-19. Canonical correlation analysis (CCA) was performed to study the associations between comorbidities and complications.Results: There are 36,358 patients in the final cohort, of whom 2,492 (6.85%) died. Greater age (odds ration [OR] = 1.061 [95% CI 1.057–1.065], p < 0.001), male gender (OR = 1.726 [95% CI 1.582–1.885], p < 0.001), alcohol consumption (OR = 1.558 [95% CI 1.355–1.786], p < 0.001), smoking (OR = 1.326 [95% CI 1.055–1.652], p = 0.014), hypertension (OR = 1.175 [95% CI 1.067–1.293], p = 0.001), diabetes (OR = 1.258 [95% CI 1.118–1.413], p < 0.001), cancer (OR = 1.86 [95% CI 1.507–2.279], p < 0.001), chronic kidney disease (CKD) (OR = 1.745 [95% CI 1.427–2.12], p < 0.001), and intracerebral hemorrhage (ICH) (OR = 1.96 [95% CI 1.323–2.846], p = 0.001) were independent risk factors for death from COVID-19. Patients aged 40–80 years make up the majority of the whole patients, and them had similar risk factors with the whole patients. For patients aged <40 years, only cancer (OR = 17.112 [95% CI 6.264–39.73], p < 0.001) and ICH (OR = 31.538 [95% CI 5.213–158.787], p < 0.001) were significantly associated with higher odds of death. For patients aged >80 years, only age (OR = 1.033 [95% CI 1.008–1.059], p = 0.01) and male gender (OR = 1.585 [95% CI 1.301–1.933], p < 0.001) were associated with higher odds of death. The incidence of most complications increases with age, but arrhythmias, gastrointestinal bleeding, and sepsis were more common in younger deceased patients with COVID-19, with only arrhythmia reaching statistical difference (p = 0.039). We found a relatively poor correlation between preexisting risk factors and complications.Conclusions: Coronavirus disease 2019 are disproportionally affected by age for its clinical manifestations, risk factors, complications, and outcomes. Prior complications have little effect on the incidence of extrapulmonary complications.

scholarly journals Nomogram for Predicting COVID-19 Disease Progression Based on Single-Center Data: Observational Study and Model Development (Preprint)

2020 ◽  
Author(s):  
Tao Fan ◽  
Bo Hao ◽  
Shuo Yang ◽  
Bo Shen ◽  
Zhixin Huang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Clinical Characteristics ◽  
Cox Regression ◽  
Disease Onset ◽  
Lasso Regression ◽  
Prediction Ability ◽  
Calibration Curves ◽  
Independent Risk Factors ◽  
Critical Patients

BACKGROUND In late December 2019, a pneumonia caused by SARS-CoV-2 was first reported in Wuhan and spread worldwide rapidly. Currently, no specific medicine is available to treat infection with COVID-19. OBJECTIVE The aims of this study were to summarize the epidemiological and clinical characteristics of 175 patients with SARS-CoV-2 infection who were hospitalized in Renmin Hospital of Wuhan University from January 1 to January 31, 2020, and to establish a tool to identify potential critical patients with COVID-19 and help clinical physicians prevent progression of this disease. METHODS In this retrospective study, clinical characteristics of 175 confirmed COVID-19 cases were collected and analyzed. Univariate analysis and least absolute shrinkage and selection operator (LASSO) regression were used to select variables. Multivariate analysis was applied to identify independent risk factors in COVID-19 progression. We established a nomogram to evaluate the probability of progression of the condition of a patient with COVID-19 to severe within three weeks of disease onset. The nomogram was verified using calibration curves and receiver operating characteristic curves. RESULTS A total of 18 variables were considered to be risk factors after the univariate regression analysis of the laboratory parameters (<i>P</i>&lt;.05), and LASSO regression analysis screened out 10 risk factors for further study. The six independent risk factors revealed by multivariate Cox regression were age (OR 1.035, 95% CI 1.017-1.054; <i>P</i>&lt;.001), CK level (OR 1.002, 95% CI 1.0003-1.0039; <i>P</i>=.02), CD4 count (OR 0.995, 95% CI 0.992-0.998; <i>P</i>=.002), CD8 % (OR 1.007, 95% CI 1.004-1.012, <i>P</i>&lt;.001), CD8 count (OR 0.881, 95% CI 0.835-0.931; <i>P</i>&lt;.001), and C3 count (OR 6.93, 95% CI 1.945-24.691; <i>P</i>=.003). The areas under the curve of the prediction model for 0.5-week, 1-week, 2-week and 3-week nonsevere probability were 0.721, 0.742, 0.87, and 0.832, respectively. The calibration curves showed that the model had good prediction ability within three weeks of disease onset. CONCLUSIONS This study presents a predictive nomogram of critical patients with COVID-19 based on LASSO and Cox regression analysis. Clinical use of the nomogram may enable timely detection of potential critical patients with COVID-19 and instruct clinicians to administer early intervention to these patients to prevent the disease from worsening.

scholarly journals Risk factors and clinical features of deterioration in COVID-19 patients in Zhejiang, China: a single- centre, retrospective study

2020 ◽  
Author(s):  
Ping Yi ◽  
Xiang Yang ◽  
Cheng Ding ◽  
Yanfei Chen ◽  
Kaijin Xu ◽  
...  
Keyword(s):  
Risk Factors ◽  
T Lymphocyte ◽  
Lymphocyte Count ◽  
Clinical Characteristics ◽  
B Lymphocyte ◽  
Blood Cell Count ◽  
Single Centre ◽  
Multiple Factors ◽  
Independent Risk Factors ◽  
Severity Of The Disease

Abstract BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection swept through Wuhan and spread across China and overseas beginning in December 2019. To identify predictors associated with disease progression, we evaluated clinical risk factors for exacerbation of SARS-CoV-2 infection.MethodsA retrospective analysis was used for PCR-confirmed COVID-19 (coronavirus disease 2019)-diagnosed hospitalized cases between January 19, 2020, and February 19, 2020, in Zhejiang, China. We systematically analysed the clinical characteristics of the patients and predictors of clinical deterioration.ResultsOne hundred patients with COVID-19, with a median age of 54 years, were included. Among them, 49 patients (49%) had severe and critical disease. Age ([36-58] vs [51-70], P=0.0001); sex (49% vs 77.6%, P=0.0031); Body Mass Index (BMI ) ([21.53-25.51] vs [23.28-27.01], P=0.0339); hypertension (17.6% vs 57.1%, P<0.0001); IL-6 ([6.42-30.46] vs [16.2-81.71], P=0.0001); IL-10 ([2.16-5.82] vs [4.35-9.63], P<0.0001); T lymphocyte count ([305- 1178] vs [167.5-440], P=0.0001); B lymphocyte count ([91-213] vs [54.5-163.5], P=0.0001); white blood cell count ([3.9-7.6] vs [5.5-13.6], P=0.0002); D2 dimer ([172-836] vs [408-953], P=0.005), PCT ([0.03-0.07] vs [0.04-0.15], P=0.0039); CRP ([3.8-27.9] vs [17.3-58.9], P<0.0001); AST ([16, 29] vs [18, 42], P=0.0484); artificial liver therapy (2% vs 16.3%, P=0.0148); and glucocorticoid therapy (64.7% vs 98%, P<0.0001) were associated with the severity of the disease. Age and weight were independent risk factors for disease severity.ConclusionDeterioration among COVID-19-infected patients occurred rapidly after hospital admission. In our cohort, we found that multiple factors were associated with the severity of COVID19. Early detection and monitoring of these indicators may reduce the progression of the disease. Removing these factors may halt the progression of the disease. In addition, Oxygen support, early treatment with low doses of glucocorticoids and liver therapy, when necessary, may help reduce mortality in critically ill patients.

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