scholarly journals Early diagnosis of craniofacial necrotising fasciitis: Analysis of clinical risk factors

2021 ◽  
Author(s):  
Da Woon Lee ◽  
Heongrae Ryu ◽  
Hwan Jun Choi ◽  
Nam Hun Heo
Keyword(s):  
Risk Factors ◽  
Early Diagnosis ◽  
Necrotising Fasciitis ◽  
Clinical Risk Factors ◽  
Clinical Risk

scholarly journals MO424RENAL ANGINA: RISK OF ACUTE KIDNEY INJURY IN CRITICALLY ILL ADULTS IN FUNDACIÓN CARDIOINFANTIL IN BOGOTÁ USING CLINICAL RISK FACTORS AND CHANGES IN SERUM CREATININE

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Alejandra Molano-Triviño ◽  
José Garcia-Habeych ◽  
Juan Camilo Castellanos De la Hoz ◽  
Noelia Niño Caro ◽  
Juan Pablo Montoya ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Critical Care ◽  
High Risk ◽  
Early Diagnosis ◽  
Serum Creatinine ◽  
Ventilatory Support ◽  
Kidney Injury ◽  
Clinical Risk Factors ◽  
Clinical Risk

Abstract Background and Aims Acute Kidney Injury (AKI) has remarkable cardiovascular and mortality outcomes, both short and long term potentially preventable with adequate ICU support, thus, early diagnosis is mandatory. Full AKI diagnosis according to KDIGO criteria can result in delayed interventions at admission in ICU, giving potential benefits to alternatives in early diagnosis. Cruz and NEFROINT research group described a scale for prediction of severe AKI, based on risk factors and establishing creatinine cuts as markers of kidney distress.1 Our aim is to describe the predictive capacity of small changes in serum creatinine correlating with clinical risk factors in adult critical care patients. 1. Clin J Am Soc Nephrol (2014) 9, 663-672. Method We retrospectively selected from our Critical Care Nephrology database adult patients admitted in any of our hospital`s ICU between February to August 2020, excluding those at admission with diagnosis of AKI, serum creatinine > 2.5 mg/dl, or those receiving dialysis (acute or chronic) or kidney transplantation. We defined AKI according to KDIGO criteria. We calculated Cruz et al scale of prediction of severe AKI. The minimally acceptable criteria for this test was a sensitivity of 95%. A point estimate and confidence intervals of sensitivity and specificity were derived from a contingency table. Results From 1204 new ICU patients, according to selection criteria we found 372 patients (women 40.3%), with mean age of 60.9 years (range 18-98), mainly hospitalized for medical conditions. Mean values of APACHE II was 22.9. Hemodynamic support was required in 41.1% of patients and mechanical ventilation in 58.6% of patients. (Table 1). AKI KDIGO 2-3 was diagnosed in 65 (26.8%) of patients. Creatinine at admission was statistically different in patients that developed AKI (CI 0.95 -0.51 - 0.15 mg/dl, p=0.0004). Requirement of hemodynamic (p = 0.003) and ventilatory support (p = 0.009), sepsis (p = 0.003), and diagnosis of COVID-19 (p = 0.03) were more frequent in patients who developed AKI. Clinical risk for severe AKI was present in 356 patients (95.7%): 66,5% at very high risk, 9,8% at high risk and 19,2% at moderate risk. Patients without risk criteria were classified as low risk (4,3%). In patients with risk factors for AKI, and a significative increase in creatinine adjusted to risks, diagnostic performance for predicting diagnosis of KDIGO 2-3 AKI had a sensitivity, specificity, positive and negative predictive value of 89% (CI95% 79 – 95%), 58% (CI95% 52 – 64%), 0.31 (CI95% 0.25 – 0.39) and 0.96 (CI95% 0.92 – 0.98) respectively (Figure). Renal replacement therapy was required in 39 (60%) of patients with severe AKI (incidence 10.5%). (Table 2) Conclusion Regardless of the risk stratification for AKI, the absence of significant early changes in serum creatinine rules out the possibility of progression to KDIGO 2-3 AKI in the first seven days after ICU admission.

Long-Term Follow-Up of Patients With Isolated Side Branch Coronary Artery Disease

Angiology ◽  
2021 ◽  
pp. 000331972110280
Author(s):  
Sukru Arslan ◽  
Ahmet Yildiz ◽  
Okay Abaci ◽  
Urfan Jafarov ◽  
Servet Batit ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Vessel Diameter ◽  
Side Branch ◽  
Clinical Risk Factors ◽  
Clinical Risk ◽  
Artery Disease

The data with respect to stable coronary artery disease (SCAD) are mainly confined to main vessel disease. However, there is a lack of information and long-term outcomes regarding isolated side branch disease. This study aimed to evaluate long-term major adverse cardiac and cerebrovascular events (MACCEs) in patients with isolated side branch coronary artery disease (CAD). A total of 437 patients with isolated side branch SCAD were included. After a median follow-up of 38 months, the overall MACCE and all-cause mortality rates were 14.6% and 5.9%, respectively. Among angiographic features, 68.2% of patients had diagonal artery and 82.2% had ostial lesions. In 28.8% of patients, the vessel diameter was ≥2.75 mm. According to the American College of Cardiology lesion classification, 84.2% of patients had either class B or C lesions. Age, ostial lesions, glycated hemoglobin A1c, and neutrophil levels were independent predictors of MACCE. On the other hand, side branch location, vessel diameter, and lesion complexity did not affect outcomes. Clinical risk factors seem to have a greater impact on MACCE rather than lesion morphology. Therefore, the treatment of clinical risk factors is of paramount importance in these patients.

Clinical risk factors, phenomenology and the impact of clozapine induced obsessive compulsive symptoms

2021 ◽  
Vol 296 ◽  
pp. 113665
Author(s):  
Gamze Gürcan ◽  
Şevin Hun Şenol ◽  
A. Elif Anıl Yağcıoğlu ◽  
Aygün Ertuğrul
Keyword(s):  
Risk Factors ◽  
Clinical Risk Factors ◽  
Obsessive Compulsive ◽  
Obsessive Compulsive Symptoms ◽  
Clinical Risk ◽  
The Impact

scholarly journals Difficult laryngoscopy and intubation in the Indian population: An assessment of anatomical and clinical risk factors

2013 ◽  
Vol 57 (6) ◽  
pp. 569 ◽  
Author(s):  
Smita Prakash ◽  
Amitabh Kumar ◽  
Shyam Bhandari ◽  
Parul Mullick ◽  
AnoopRaj Gogia ◽  
...  
Keyword(s):  
Risk Factors ◽  
Indian Population ◽  
Difficult Laryngoscopy ◽  
Clinical Risk Factors ◽  
Clinical Risk
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