1.Clinical features of gas-forming liver abscesses: comparison between diabetic and nondiabetic patients.
Chang Jae LEE ; Sang Young HAN ; Sung Wook LEE ; Yang Hyun BAEK ; Seok Reyol CHOI ; Myung Hwan ROH ; Jong Hoon LEE ; Jin Seok JANG ; Jin HAN ; Su Hyun CHO ; Se Woong CHOI
The Korean Journal of Hepatology 2010;16(2):131-138
BACKGROUND/AIMS: Patients with diabetes mellitus (DM) are more likely to have a pyogenic liver abscess with gas formation, which is associated with higher morbidity and mortality. The morbidity and mortality in pyogenic liver abscess are also higher in DM patients than in non-DM patients. This study evaluated the morbidity, mortality, and clinical features in patients with gas-forming liver abscesses associated with DM. METHODS: Among 379 cases of pyogenic liver abscess excluding malignancy from January 2001 through December 2009, 25 patients treated for pyogenic-gas-forming liver abscesses were reviewed retrospectively. We compared the morbidity, mortality, and clinical findings in patients with pyogenic-gas-forming liver abscesses between DM and non-DM patients. RESULTS: Gas formation was present in 25 (6.6%) of 379 cases with pyogenic liver abscess. DM was combined with gas-forming liver abscesses in 19 cases (76%). The most common organism responsible for the gas formation was Klebsiella pneumoniae (82%). Complications were present in 23 cases (92%) of gas-forming liver abscesses, with pulmonary complications (especially pleural effusion) being the most common (n=14, 61%). Four patients (16%) died of sepsis. CONCLUSIONS: Gas-forming liver abscesses are not uncommon in cases of pyogenic liver abscesses and are associated with high morbidity and mortality rates. The clinical manifestations and complications do not differ significantly between DM and non-DM patients.
Adult
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Aged
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Diabetes Complications/diagnosis/epidemiology/*mortality
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Female
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Hemoglobin A, Glycosylated/analysis
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Humans
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Hypoglycemic Agents/therapeutic use
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Klebsiella Infections/complications
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Klebsiella pneumoniae/isolation & purification
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Length of Stay
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Liver Abscess, Pyogenic/complications/diagnosis/*mortality
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Male
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Middle Aged
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Morbidity
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Retrospective Studies
2.Differential Prognostic Impacts of Diabetes over Time Course after Acute Myocardial Infarction.
Hack Lyoung KIM ; Si Hyuck KANG ; Chang Hwan YOON ; Young Seok CHO ; Tae Jin YOUN ; Goo Yeong CHO ; In Ho CHAE ; Hyo Soo KIM ; Shung Chull CHAE ; Myeong Chan CHO ; Young Jo KIM ; Ju Han KIM ; Youngkeun AHN ; Myung Ho JEONG ; Dong Ju CHOI
Journal of Korean Medical Science 2013;28(12):1749-1755
This study was performed to evaluate the effects of diabetes on short- and mid-term clinical outcomes in patients with acute myocardial infarction (AMI). Between October 2005 and December 2009, a total of 22,347 patients with AMI from a nationwide registry was analyzed. At the time point of the day 30 after AMI onset, landmark analyses were performed for the development of major adverse cardiovascular events (MACEs), including death, re-infarction and revascularization. In this cohort, 6,131 patients (27.4%) had diabetes. Short-term MACEs, which occurred within 30 days of AMI onset, were observed in 1,364 patients (6.1%). Among the 30-day survivors (n = 21,604), mid-term MACEs, which occurred between 31 and 365 days after AMI onset, were observed in 1,181 patients (5.4%). After adjustment for potential confounders, diabetes was an independent predictor of mid-term MACEs (HR, 1.25; 95% CI, 1.08-1.45; P = 0.002), but not of short-term MACEs (HR: 1.16; 95% CI: 0.93-1.44; P = 0.167). Diabetes is a poor prognostic factor for mid-term clinical outcomes but not for short-term outcomes in AMI patients. Careful monitoring and intensive care should be considered in diabetic patients, especially following the acute stage of AMI.
Acute Disease
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Aged
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Cardiovascular Diseases/etiology
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Cohort Studies
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Diabetes Mellitus, Type 2/complications/*diagnosis
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Diagnosis, Differential
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Female
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Humans
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Incidence
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Male
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Middle Aged
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Myocardial Infarction/*diagnosis/epidemiology/mortality
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Prognosis
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Proportional Hazards Models
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Registries
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Survival Analysis
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Time Factors