scholarly journals Incidences and risk factors of serious infections among different rheumatic patients: a retrospective cohort study

2020 ◽  
Author(s):  
Jin Ding ◽  
Yang Xiang ◽  
Yujia Zhou ◽  
Cong Zhu ◽  
Xinyue Hu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Rheumatic Diseases ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Clinical Decision Making ◽  
Cox Model ◽  
Infection Rates ◽  
Serious Infections ◽  
Rheumatic Patients

Abstract Background To compare the incidence and risk factors of serious infections among patients of seven common rheumatic diseases including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), polymyalgia rheumatica (PMR), Sjögren's syndrome (SS), systemic sclerosis (SSc), systemic vasculitis (VA), and other diffuse connective tissue diseases (oCTD). Methods In a retrospective cohort study using large Electronic Health Records (EHR) data, the infection rates of different rheumatic diseases in two years were calculated and variances on risk factors were analyzed using the multivariable Cox model. Results Among the overall 46,411 rheumatic patients, 8,308 presented serious hospitalized infections in the following two years (crude infection rates (IR) per 100 patient-years: 8.95, 8.76–9.14). SSc (10.89, 9.61–12.16), VA (10.82, 9.96–11.68), and SLE (10.13, 9.73–10.53) had relatively high IRs, while oCTD was with the lowest IR (7.71, 6.58–8.84). The Cox model identified previous infection (adjusted hazard ratio (HR):1.75, 1.62–1.88, p < 0.001), GCs usage (HR:1.64, 1.52–1.76, p < 0.001), nonbiologic DMARDs usage (HR:1.39, 1.32–1.45, p < 0.001) and congestive heart failure (CHF) (HR:1.42, 1.30–1.56, p < 0.001) as the top-ranked risk factors of infection in the overall population. While some of the variables were shared across subtypes of rheumatic diseases as highly associated risk factors, others varied significantly such as osteoporosis. Conclusions Infection rates and risk factors varied among cohorts of different rheumatic diseases. The analytical results may inform distinct strategies and influence clinical decision making to reduce the occurrence of infections.

An Analysis of Dental Implants Survival and Success

2018 ◽  
Vol 69 (9) ◽  
pp. 2465-2466
Author(s):  
Iustin Olariu ◽  
Roxana Radu ◽  
Teodora Olariu ◽  
Andrada Christine Serafim ◽  
Ramona Amina Popovici ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Medical History ◽  
Retrospective Cohort Study ◽  
Odds Ratio ◽  
Retrospective Cohort ◽  
Demographic Data ◽  
Kaplan Meier ◽  
Number Of Patients ◽  
Health Related

Osseointegration of a dental implant may encounter a variety of problems caused by various factors, as prior health-related problems, patients� habits and the technique of the implant inserting. Retrospective cohort study of 70 patients who received implants between January 2011- April 2016 in one dental unit, with Kaplan-Meier method to calculate the probability of implants�s survival at 60 months. The analysis included demographic data, age, gender, medical history, behavior risk factors, type and location of the implant. For this cohort the implants�survival for the first 6 months was 92.86% compared to the number of patients and 97.56% compared to the number of total implants performed, with a cumulative failure rate of 2.43% after 60 months. Failures were focused exclusively on posterior mandible implants, on the percentage of 6.17%, odds ratio (OR) for these failures being 16.76 (P = 0.05) compared with other localisations of implants, exclusively in men with median age of 42 years.

scholarly journals Catheter to vein ratio and risk of peripherally inserted central catheter (PICC)-associated thrombosis according to diagnostic group: a retrospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e045895
Author(s):  
Rebecca Sharp ◽  
Peter Carr ◽  
Jessie Childs ◽  
Andrew Scullion ◽  
Mark Young ◽  
...  
Keyword(s):  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Primary Outcome Measure ◽  
Diagnostic Group ◽  
Peripherally Inserted Central Catheter ◽  
Central Catheter ◽  
Characteristic Analysis

ObjectivesDetermine the effect of the catheter to vein ratio (CVR) on rates of symptomatic thrombosis in individuals with a peripherally inserted central catheter (PICC) and identify the optimal CVR cut-off point according to diagnostic group.DesignRetrospective cohort study.Setting4 tertiary hospitals in Australia and New Zealand.ParticipantsAdults who had undergone PICC insertion.Primary outcome measureSymptomatic thrombus of the limb in which the PICC was inserted.Results2438 PICC insertions were included with 39 cases of thrombosis (1.6%; 95% CI 1.14% to 2.19%). Receiver operator characteristic analysis was unable to be performed to determine the optimal CVR overall or according to diagnosis. The association between risk of thrombosis and CVR cut-offs commonly used in clinical practice were analysed. A 45% cut-off (≤45% versus ≥46%) was predictive of thrombosis, with those with a higher ratio having more than twice the risk (relative risk 2.30; 95% CI 1.202 to 4.383; p=0.01). This pattern continued when only those with malignancy were included in the analysis, those with cancer had twice the risk of thrombosis with a CVR greater than 45%. Whereas the 33% CVR cut-off was not associated with statistically significant results overall or in those with malignancy. Neither the 33% or 45% CVR cut-off produced statistically significant results in those with infection or other non-malignant conditions.ConclusionsAdherence to CVR cut-offs are an important component of PICC insertion clinical decision making to reduce the risk of thrombosis. These results suggest that in individuals with cancer, the use of a CVR ≤45% should be considered to minimise risk of thrombosis. Further research is needed to determine the risk of thrombosis according to malignancy type and the optimal CVR for those with a non-malignant diagnosis.

scholarly journals Proton pump inhibitors versus histamine-2 receptor blockers for stress ulcer prophylaxis in patients with sepsis: a retrospective cohort study

2021 ◽  
Vol 49 (6) ◽  
pp. 030006052110251
Author(s):  
Minqiang Huang ◽  
Ming Han ◽  
Wei Han ◽  
Lei Kuang
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Proton Pump ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Stress Ulcer ◽  
Increased Risk ◽  
Ulcer Prophylaxis

Objective We aimed to compare the efficacy and risks of proton pump inhibitor (PPI) versus histamine-2 receptor blocker (H2B) use for stress ulcer prophylaxis (SUP) in critically ill patients with sepsis and risk factors for gastrointestinal bleeding (GIB). Methods In this retrospective cohort study, we used the Medical Information Mart for Intensive Care III Clinical Database to identify critically ill adult patients with sepsis who had at least one risk factor for GIB and received either an H2B or PPI for ≥48 hours. Propensity score matching (PSM) was conducted to balance baseline characteristics. The primary outcome was in-hospital mortality. Results After 1:1 PSM, 1056 patients were included in the H2B and PPI groups. The PPI group had higher in-hospital mortality (23.8% vs. 17.5%), GIB (8.9% vs. 1.6%), and pneumonia (49.6% vs. 41.6%) rates than the H2B group. After adjusting for risk factors of GIB and pneumonia, PPI use was associated with a 1.28-times increased risk of in-hospital mortality, 5.89-times increased risk of GIB, and 1.32-times increased risk of pneumonia. Conclusions Among critically ill adult patients with sepsis at risk for GIB, SUP with PPIs was associated with higher in-hospital mortality and higher risk of GIB and pneumonia than H2Bs.

scholarly journals Risk Factors of Daptomycin-Induced Eosinophilic Pneumonia in a Population with Osteoarticular Infection

Antibiotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 446
Author(s):  
Laura Soldevila-Boixader ◽  
Bernat Villanueva ◽  
Marta Ulldemolins ◽  
Eva Benavent ◽  
Ariadna Padulles ◽  
...  
Keyword(s):  
Risk Factors ◽  
Adverse Effect ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Older Patients ◽  
Retrospective Cohort ◽  
Joint Infection ◽  
Eosinophilic Pneumonia ◽  
Severe Adverse Effect ◽  
Osteoarticular Infection

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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