NLR, as a novel cardiovascular risk marker, is an important, simple and inexpensive method which can be used by the cardiologist as a screening inflammation tool to estimate the development of CCC in patients with CTO.

Acute limb ischemia is a sudden decrease in limb perfusion that threatens limb viability and requires urgent evaluation and management. Most of the causes of acute limb ischemia are thrombosis of a limb artery or bypass graft, embolism from the heart or a disease artery, dissection, and trauma. Assessment determines whether the limb is viable or irreversibly damaged. Prompt diagnosis and revascularization by means of catheter-based thrombolysis or thrombectomy and by surgery reduce the risk of limb loss and mortality. Amputation is performed in patients with irreversible damage. Despite urgent revascularization, amputation rate is 10%–15% in patients during hospitalization, mostly above the knee, and mortality within 1 year is 10%–15% due to the coexisting conditions.

Fundamentos: A determinação precisa do colesterol de lipoproteína de baixa densidade (LDL-C) é importante para se alcançar concentrações de LDL-C recomendadas por diretrizes e para reduzir resultados cardiovasculares adversos em pacientes diabéticos. A equação de Friedewald comumente usada (LDL-Cf) produz resultados imprecisos em pacientes diabéticos devido a dislipidemia diabética associada. Recentemente, duas novas equações -Martin/Hopkins (LDL-CMH) e Sampson (LDL-Cs) -foram desenvolvidas para melhorar a precisão da estimativa de LDL-C, mas os dados são insuficientes para sugerir a superioridade de uma equação sobre a outra. Objetivos: O presente estudo comparou a precisão e a utilidade clínica das novas equações de Martin/Hopkins e Sampson em pacientes diabéticos. Método: Foram incluídos no estudo quatrocentos e dois (402) pacientes com diabetes. O risco cardiovascular dos pacientes e as metas de LDL-C foram calculadas por diretrizes europeias. As concentrações de LDL-Cmh, LDL-Cs, e LDL-Cf calculadas foram comparadas à concentração de LDL-C direto (LDL-Cd) para testar a concordância entre essas equações e LDL-Cd. Um P valor <0,05 foi aceito como estatisticamente significativo. Resultados: A LDL-CMH e a LDL-Cs tiveram concordância melhor com o LDL-Cd em comparação com a LDL-Cf, mas não houve diferenças estatísticas entre as novas equações para concordância com o LDL-Cd (Alfa de Cronbach de 0,955 para ambos, p=1). Da mesma forma, a LDL-CMH e a LDL-Cs tinham um grau semelhante de concordância com o LDL-Cd para determinar se o paciente estava dentro da meta de LDL-C (96,3% para LDL-Cmh e 96,0% para LDL-Cs), que eram ligeiramente melhores que a LDL-Cf (94,6%). Em pacientes com uma concentração de triglicérides >400 mg/dl, a concordância com o LDL-Cd foi ruim, independentemente do método usado. Conclusão: As equações de Martin/Hopkins e Sampson mostram uma precisão similar para o cálculo de concentrações de LDL-C nos pacientes com diabetes, e ambas as equações são ligeiramente melhores que a equação de Friedewald.

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Objectives The aim of this study was to investigate changes in olfactory function after smoking cessation. Methods We conducted a cross‐sectional study involving 28 volunteers who were admitted to the smoking cessation section of our hospital. Olfactory tests were performed immediately before smoking cessation and 45 days after smoking cessation. The duration of smoking and the number of cigarettes smoked per day were noted. Results The mean duration of smoking was 25.5 ± 12 years, and the participants smoked 21.6 ± 6.6 cigarettes per day. There was a significant improvement in odor discrimination, odor identification, and TDI scores (i.e., the total score of odor threshold, odor discrimination, and odor identification tests) 45 days after smoking cessation (P = .003, P = .002, and P < .001, respectively). Furthermore, a statistically significant negative correlation was found between the duration of cigarette smoking and the Sniffin’ Sticks olfactory tests performed after smoking cessation, namely odor discrimination, odor identification, and TDI (P = .008, P = .002, P = .001, respectively). Conclusion A significant improvement was observed in odor discrimination, odor identification, and TDI scores after smoking cessation. However, this improvement was inversely associated with the duration of smoking, indicating that a longer duration of smoking may result in an insufficient improvement after smoking cessation. Level of Evidence 4 Laryngoscope, 130:E35–E38, 2020