Factors associated with survival in older patients affected by COVID-19: A retrospective cohort study

Background: Daptomycin-induced eosinophilic pneumonia (DEP) is a rare but severe adverse effect and the risk factors are unknown. The aim of this study was to determine risk factors for DEP. Methods: A retrospective cohort study was performed at the Bone and Joint Infection Unit of the Hospital Universitari Bellvitge (January 2014–December 2018). To identify risk factors for DEP, cases were divided into two groups: those who developed DEP and those without DEP. Results: Among the whole cohort (n = 229) we identified 11 DEP cases (4.8%) and this percentage almost doubled in the subgroup of patients ≥70 years (8.1%). The risk factors for DEP were age ≥70 years (HR 10.19, 95%CI 1.28–80.93), therapy >14 days (7.71, 1.98–30.09) and total cumulative dose of daptomycin ≥10 g (5.30, 1.14–24.66). Conclusions: Clinicians should monitor cumulative daptomycin dosage to minimize DEP risk, and be cautious particularly in older patients when the total dose of daptomycin exceeds 10 g.

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Correction to: Waterbirth: a national retrospective cohort study of factors associated with its use among women in England

BMC Pregnancy and Childbirth ◽

10.1186/s12884-021-03871-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

H. Aughey ◽

◽

J. Jardine ◽

N. Moitt ◽

K. Fearon ◽

...

Keyword(s):

Cohort Study ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Factors Associated

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Characteristics, outcomes and risk factors for mortality of 522 167 patients hospitalised with COVID-19 in Brazil: a retrospective cohort study

BMJ Open ◽

10.1136/bmjopen-2021-049089 ◽

2021 ◽

Vol 11 (5) ◽

pp. e049089

Author(s):

Marcia C Castro ◽

Susie Gurzenda ◽

Eduardo Marques Macário ◽

Giovanny Vinícius A França

Keyword(s):

Risk Factors ◽

Cohort Study ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Cox Proportional Hazards ◽

Secondary Outcome ◽

Hospital Death ◽

Factors Associated ◽

Icu Admission ◽

Hospitalised Patients

ObjectiveTo provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil.DesignRetrospective cohort study of hospitalised patients diagnosed with COVID-19.SettingData from all hospitals across Brazil.Participants522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19.Primary and secondary outcome measuresPrevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression.ResultsOf the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47–73), and of non-survivors 71 years (IQR, 60–80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3–9) and 7 days (IQR, 3–10), respectively; 15 days (IQR, 9–24) to death and 15 days (IQR, 11–20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20.ConclusionsCharacteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19.

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Demographic and clinical factors associated with immune reconstitution in HIV/HBV co‐infected and HIV mono‐infected patients: a retrospective cohort study

HIV Medicine ◽

10.1111/hiv.13023 ◽

2020 ◽

Vol 21 (11) ◽

pp. 722-728

Author(s):

TY Jiang ◽

JH Hou ◽

B Su ◽

T Zhang ◽

Y Yang ◽

...

Keyword(s):

Cohort Study ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Immune Reconstitution ◽

Clinical Factors ◽

Factors Associated

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Ambulance dispatch of older patients following primary and secondary telephone triage in metropolitan Melbourne, Australia: a retrospective cohort study

BMJ Open ◽

10.1136/bmjopen-2020-042351 ◽

2020 ◽

Vol 10 (11) ◽

pp. e042351

Author(s):

Kathryn Eastwood ◽

Dhanya Nambiar ◽

Rosamond Dwyer ◽

Judy A Lowthian ◽

Peter Cameron ◽

...

Keyword(s):

Cohort Study ◽

Older Adult ◽

Retrospective Cohort Study ◽

Older Patients ◽

Retrospective Cohort ◽

Vital Signs ◽

Telephone Triage ◽

Ambulance Dispatch ◽

Emergency Ambulance ◽

Primary Triage

BackgroundMost calls to ambulance result in emergency ambulance dispatch (direct dispatch) following primary telephone triage. Ambulance Victoria uses clinician-led secondary telephone triage for patients identified as low-acuity during primary triage to refer them to alternative care pathways; however, some are returned for ambulance dispatch (secondary dispatch). Older adult patients are frequent users of ambulance services; however, little is known about the appropriateness of subsequent secondary dispatches.ObjectivesTo examine the appropriateness of secondary dispatch through a comparison of the characteristics and ambulance outcomes of older patients dispatched an emergency ambulance via direct or secondary dispatch.DesignA retrospective cohort study of ambulance patient data between September 2009 and June 2012 was conducted.SettingThe secondary telephone triage service operated in metropolitan Melbourne, Victoria, Australia during the study period.ParticipantsThere were 90 086 patients included aged 65 years and over who had an emergency ambulance dispatch via direct or secondary dispatch with one of the five most common secondary dispatch paramedic diagnoses.Main outcome measuresDescriptive analyses compared characteristics, treatment and transportation rates between direct and secondary dispatch patients.ResultsThe dispatch groups were similar in demographics, vital signs and hospital transportation rates. However, secondary dispatch patients were half as likely to be treated by paramedics (OR 0.51; CI 0.48 to 0.55; p<0.001). Increasing age was associated with decreasing treatment (p<0.005) and increasing transportation rates (p<0.005).ConclusionSecondary triage could identify patients who would ultimately be transported to an emergency department. However, the lower paramedic treatment rates suggest many secondary dispatch patients may have been suitable for referral to alternative low-acuity transport or referral options.

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