Assessment of Clinical Outcomes in Patients Presenting with Transverse Myelitis: A Tertiary Care Experience from a Developing Country

Objective: The use of drug coated balloon (DCB) for angioplasty has shown superior efficacy against plain balloons for treating complex infrainguinal arterial disease. We report and compare the clinical outcomes following application of DCB(Paclitaxel) and plain angioplasty (POBA) in our tertiary care centre. Methods: A retrospective, single centre analysis of 301 patients with chronic limb-threatening ischemia involving the infrainguinal segment was conducted between September 2014 and September 2018, after approval from the Institutional review board. We analyzed clinical outcomes by measuring postoperative ABI improvement, restenosis requiring reintervention procedure, minor and major amputations at the end of 18 months. . To find the association between the group variables (POBA and DCB) and other risk variables, Chi-square test/Fisher’s exact test was used. Multivariable logistic regression analysis was used. Results: Patients who underwent treatment with plain balloon (POBA) and DCB(Paclitaxel) angioplasty were 246(81.7%) and 55(18.3%) respectively. Our study group was predominantly male (Male: Female = 6.7:1), most patients were more than 50 years of age (n = 251, 83.4%). Smoking (n = 199, 66.1%) and diabetes (n = 210, 69.8%) were the most common atherosclerotic risk factors. Postoperative Ankle Brachial Pressure Index (ABI) improvement were similar in both groups (POBA = 57.7%; DCB = 69.8%; p = 0.103). Minor and major amputations following POBA were 26% and 22%; and DCB were 12.7% and 16.4% respectively. Re-stenosis requiring a re-interventional procedure within 18 months was 15%, (n = 37) following POBA; and 12.7% (n = 7) following DCB (p = 0.661). Conclusions: This retrospective study shows similar clinical limb related outcomes following POBA and DCB at 18 months. However, our comparative analysis between the POBA and DCB groups was totally unadjusted and not adjusted for common confounders such as age and sex. Hence, for one to draw definitive conclusions leading to changes in clinical practice; a randomized, prospective study with a larger patient cohort is needed.

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Risk factors and clinical outcomes associated with blood culture contamination

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2021.111 ◽

2021 ◽

pp. 1-7

Author(s):

Justin M. Klucher ◽

Kevin Davis ◽

Mrinmayee Lakkad ◽

Jacob T. Painter ◽

Ryan K. Dare

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Blood Culture ◽

Hospital Mortality ◽

Clinical Outcomes ◽

Tertiary Care ◽

Blood Cultures ◽

Hospital Charges ◽

Patient Specific ◽

Contaminated Blood

Abstract Objective: To determine patient-specific risk factors and clinical outcomes associated with contaminated blood cultures. Design: A single-center, retrospective case-control risk factor and clinical outcome analysis performed on inpatients with blood cultures collected in the emergency department, 2014–2018. Patients with contaminated blood cultures (cases) were compared to patients with negative blood cultures (controls). Setting: A 509-bed tertiary-care university hospital. Methods: Risk factors independently associated with blood-culture contamination were determined using multivariable logistic regression. The impacts of contamination on clinical outcomes were assessed using linear regression, logistic regression, and generalized linear model with γ log link. Results: Of 13,782 blood cultures, 1,504 (10.9%) true positives were excluded, leaving 1,012 (7.3%) cases and 11,266 (81.7%) controls. The following factors were independently associated with blood-culture contamination: increasing age (adjusted odds ratio [aOR], 1.01; 95% confidence interval [CI], 1.01–1.01), black race (aOR, 1.32; 95% CI, 1.15–1.51), increased body mass index (BMI; aOR, 1.01; 95% CI, 1.00–1.02), chronic obstructive pulmonary disease (aOR, 1.16; 95% CI, 1.02–1.33), paralysis (aOR 1.64; 95% CI, 1.26–2.14) and sepsis plus shock (aOR, 1.26; 95% CI, 1.07–1.49). After controlling for age, race, BMI, and sepsis, blood-culture contamination increased length of stay (LOS; β = 1.24 ± 0.24; P < .0001), length of antibiotic treatment (LOT; β = 1.01 ± 0.20; P < .001), hospital charges (β = 0.22 ± 0.03; P < .0001), acute kidney injury (AKI; aOR, 1.60; 95% CI, 1.40–1.83), echocardiogram orders (aOR, 1.51; 95% CI, 1.30–1.75) and in-hospital mortality (aOR, 1.69; 95% CI, 1.31–2.16). Conclusions: These unique risk factors identify high-risk individuals for blood-culture contamination. After controlling for confounders, contamination significantly increased LOS, LOT, hospital charges, AKI, echocardiograms, and in-hospital mortality.

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