Etiology and Clinical Features of Full-Term Neonatal Bacterial Meningitis: A Multicenter Retrospective Cohort Study

Abstract Background Coronavirus disease 2019 (COVID-19) is an emerging infectious disease that rapidly spreads worldwide and co-infection of COVID-19 and influenza may occur in some cases. We aimed to describe clinical features and outcomes of severe COVID-19 patients with co-infection of influenza virus. Methods Retrospective cohort study was performed and a total of 140 patients with severe COVID-19 were enrolled in designated wards of Sino-French New City Branch of Tongji Hospital between Feb 8th and March 15th in Wuhan city, Hubei province, China. The demographic, clinical features, laboratory indices, treatment and outcomes of these patients were collected. Results Of 140 severe COVID-19 hospitalized patients, including 73 patients (52.14%) with median age 62 years were influenza virus IgM-positive and 67 patients (47.86%) with median age 66 years were influenza virus IgM-negative. 76 (54.4%) of severe COVID-19 patients were males. Chronic comorbidities consisting mainly of hypertension (45.3%), diabetes (15.8%), chronic respiratory disease (7.2%), cardiovascular disease (5.8%), malignancy (4.3%) and chronic kidney disease (2.2%). Clinical features, including fever (≥38 °C), chill, cough, chest pain, dyspnea, diarrhea and fatigue or myalgia were collected. Fatigue or myalgia was less found in COVID-19 patients with IgM-positive (33.3% vs 50/7%, P = 0.0375). Higher proportion of prolonged activated partial thromboplastin time (APTT) > 42 s was observed in COVID-19 patients with influenza virus IgM-negative (43.8% vs 23.6%, P = 0.0127). Severe COVID-19 Patients with influenza virus IgM positive have a higher cumulative survivor rate than that of patients with influenza virus IgM negative (Log-rank P = 0.0308). Considering age is a potential confounding variable, difference in age was adjusted between different influenza virus IgM status groups, the HR was 0.29 (95% CI, 0.081–1.100). Similarly, difference in gender was adjusted as above, the HR was 0.262 (95% CI, 0.072–0.952) in the COX regression model. Conclusions Influenza virus IgM positive may be associated with decreasing in-hospital death.

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Clinical Features and Outcomes of Diffuse Alveolar Hemorrhage During Antithrombotic Therapy: A Retrospective Cohort Study

Lung ◽

10.1007/s00408-016-9873-4 ◽

2016 ◽

Vol 194 (3) ◽

pp. 475-481 ◽

Cited By ~ 3

Author(s):

T. Otoshi ◽

Y. Kataoka ◽

A. Nakagawa ◽

K. Otsuka ◽

K. Tomii

Keyword(s):

Cohort Study ◽

Clinical Features ◽

Retrospective Cohort Study ◽

Antithrombotic Therapy ◽

Retrospective Cohort ◽

Diffuse Alveolar Hemorrhage ◽

Alveolar Hemorrhage

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Clinical features and outcomes of nonocclusive mesenteric ischemia after cardiac surgery: a retrospective cohort study

Heart and Vessels ◽

10.1007/s00380-019-01531-w ◽

2019 ◽

Vol 35 (5) ◽

pp. 630-636

Author(s):

Takashi Sakamoto ◽

Michimasa Fujiogi ◽

Hiroki Matsui ◽

Kiyohide Fushimi ◽

Hideo Yasunaga

Keyword(s):

Cardiac Surgery ◽

Cohort Study ◽

Clinical Features ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Mesenteric Ischemia ◽

Nonocclusive Mesenteric Ischemia

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Pemphigus Vulgaris: A Retrospective Cohort Study of Clinical Features, Treatments, and Outcomes

Actas Dermo-Sifiliográficas (English Edition) ◽

10.1016/j.adengl.2019.10.009 ◽

2020 ◽

Vol 111 (5) ◽

pp. 398-407

Author(s):

M.J. Cura ◽

A.C. Torre ◽

K.Y. Cueto Sarmiento ◽

M.L. Bollea Garlatti ◽

J. Riganti ◽

...

Keyword(s):

Cohort Study ◽

Clinical Features ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Pemphigus Vulgaris

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Bacterial meningitis associated with lumbar drains: a retrospective cohort study

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp.67.4.468 ◽

1999 ◽

Vol 67 (4) ◽

pp. 468-473 ◽

Cited By ~ 55

Author(s):

W. M Coplin ◽

A. M Avellino ◽

D K Kim ◽

H R. Winn ◽

M S. Grady

Keyword(s):

Cohort Study ◽

Bacterial Meningitis ◽

Retrospective Cohort Study ◽

Retrospective Cohort

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Factors associated with the time to return negative RT-PCR from COVID-19 in paediatric patients: a retrospective cohort study

BMJ Open ◽

10.1136/bmjopen-2021-052609 ◽

2021 ◽

Vol 11 (10) ◽

pp. e052609

Author(s):

Jianbo Shao ◽

Hong Xu ◽

Zhixi Liu ◽

Xiaohua Ying ◽

Hua Xu ◽

...

Keyword(s):

Cohort Study ◽

Outcome Measures ◽

Clinical Features ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Antiviral Drugs ◽

Secondary Outcome ◽

Rt Pcr ◽

Factors Associated ◽

Paediatric Patients

ObjectiveThis study aimed to describe the epidemiological and clinical features and potential factors related to the time to return negative reverse transcriptase (RT)-PCR in discharged paediatric patients with COVID-19.DesignRetrospective cohort study.SettingUnscheduled admissions to 12 tertiary hospitals in China.ParticipantsTwo hundred and thirty-three clinical charts of paediatric patients with confirmed diagnosis of COVID-19 admitted from 1 January 2020 to 17 April 2020.Primary and secondary outcome measuresPrimary outcome measures: factors associated with the time to return negative RT-PCR from COVID-19 in paediatric patients. Secondary outcome measures: epidemiological and clinical features and laboratory results in paediatric patients.ResultsThe median age of patients in our cohort was 7.50 (IQR: 2.92–12.17) years, and 133 (57.1%) patients were male. 42 (18.0%) patients were evaluated as asymptomatic, while 162 (69.5%) and 25 (10.7%) patients were classified as mild or moderate, respectively. In Cox regression analysis, longer time to negative RT-PCR was associated with the presence of confirmed infection in family members (HR (95% CI): 0.56 (0.41 to 0.79)). Paediatric patients with emesis symptom had a longer time to return negative (HR (95% CI): 0.33 (0.14 to 0.78)). During hospitalisation, the use of traditional Chinese medicine (TCM) and antiviral drugs at the same time is less conducive to return negative than antiviral drugs alone (HR (95% CI): 0.85 (0.64 to 1.13)).ConclusionsThe mode of transmission might be a critical factor determining the disease severity of COVID-19. Patients with emesis symptom, complications or confirmed infection in family members may have longer healing time than others. However, there were no significant favourable effects from TCM when the patients have received antiviral treatment.

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Clinical characteristics and outcome of influenza virus infection among adults hospitalized with severe COVID-19: A retrospective cohort study from Wuhan, China

10.21203/rs.3.rs-50577/v1 ◽

2020 ◽

Author(s):

Xunliang Tong ◽

Xiaomao Xu ◽

Guoyue Lv ◽

He Wang ◽

Anqi Cheng ◽

...

Keyword(s):

Influenza Virus ◽

Cohort Study ◽

Clinical Features ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Influenza Virus Infection ◽

Clinical Feature ◽

Risk Of Death ◽

New City ◽

Characteristic Features

Abstract Background Coronavirus disease 2019 (COVID-19) is an emerging infection disease that rapidly spreads worldwide. Co-infection may occur in some cases of COVID-19, like influenza virus and so on. Clinical features and outcomes of severe COVID-19 patients with co-infection of influenza virus need to be noticed.Methods Retrospective cohort study was performed and total of 140 patients with severe COVID-19 was enrolled in designated wards of Sino-French New City Branch of Tongji Hospital between Feb 8th and March 15th in Wuhan, Hubei province, China. The demographic, clinical features, laboratory indices, treatment and outcomes of these patients were collected and analyzed.Results Of 140 severe COVID-19 hospitalized patients, 73 patients were with median age of 66 years old with identification of influenza virus IgM-positive and 67 patients were with median age of 62 years old in influenza virus IgM-negative. Nearly half of severe COVID-19 patients in this research are male. Majority of the severe COVID-19 patients had chronic underlying conditions. Wheeze was the clinical feature of severe COVID-19 patients with influenza IgM-positive (26.4% vs 9.0%, P = 0.008). On contrary, fatigue or myalgia was the feature of the COVID-19 patients without IgM-positive (38.4% vs 58.2%, P = 0.019). Increased levels of ferritin and prolonging APTT were showed in severe COVID-19 patients without influenza IgM-positive compared with patients in other group with significant differences. Death rate in the group of severe COVID-19 patients with influenza IgM-positive is lower than it in other group with significant differences (4.1% vs 14.9%, P = 0.040). In univariate regression analysis, several factors were associated with higher risk of death, which included LDH, troponin, NT-proBNP, D-dimer, PT, APTT, lymphocytes, platelet and eGFR. However, influenza virus IgM positive was associated with lower risk of death.Conclusions Characteristic features of patients with severe COVID-19 with influenza virus IgM-positive were described. Co-infection may occur during the pandemic of COVID-19, and we need to improve our understanding in order to confront this crisis in the future.

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Maternal metabolic profiling to assess fetal gestational age and predict preterm delivery: a two-centre retrospective cohort study in the US

BMJ Open ◽

10.1136/bmjopen-2020-040647 ◽

2020 ◽

Vol 10 (12) ◽

pp. e040647

Author(s):

Karl G Sylvester ◽

Shiying Hao ◽

Jin You ◽

Le Zheng ◽

Lu Tian ◽

...

Keyword(s):

Cohort Study ◽

Preterm Birth ◽

Gestational Age ◽

Retrospective Cohort Study ◽

Metabolic Profiling ◽

Retrospective Cohort ◽

Clinical Care ◽

Full Term ◽

Additional Patient ◽

Term Pregnancy

ObjectivesThe aim of this study was to develop a single blood test that could determine gestational age and estimate the risk of preterm birth by measuring serum metabolites. We hypothesised that serial metabolic modelling of serum analytes throughout pregnancy could be used to describe fetal gestational age and project preterm birth with a high degree of precision.Study designA retrospective cohort study.SettingTwo medical centres from the USA.ParticipantsThirty-six patients (20 full-term, 16 preterm) enrolled at Stanford University were used to develop gestational age and preterm birth risk algorithms, 22 patients (9 full-term, 13 preterm) enrolled at the University of Alabama were used to validate the algorithms.Outcome measuresMaternal blood was collected serially throughout pregnancy. Metabolic datasets were generated using mass spectrometry.ResultsA model to determine gestational age was developed (R2=0.98) and validated (R2=0.81). 66.7% of the estimates fell within ±1 week of ultrasound results during model validation. Significant disruptions from full-term pregnancy metabolic patterns were observed in preterm pregnancies (R2=−0.68). A separate algorithm to predict preterm birth was developed using a set of 10 metabolic pathways that resulted in an area under the curve of 0.96 and 0.92, a sensitivity of 0.88 and 0.86, and a specificity of 0.96 and 0.92 during development and validation testing, respectively.ConclusionsIn this study, metabolic profiling was used to develop and test a model for determining gestational age during full-term pregnancy progression, and to determine risk of preterm birth. With additional patient validation studies, these algorithms may be used to identify at-risk pregnancies prompting alterations in clinical care, and to gain biological insights into the pathophysiology of preterm birth. Metabolic pathway-based pregnancy modelling is a novel modality for investigation and clinical application development.

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