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KMID : 0882420070720050501
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Korean Journal of Medicine
2007 Volume.72 No. 5 p.501 ~ p.510
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Reappraisal of the predictive factors for postoperative pulmonary complications after general anesthesia
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Do Yun-Jeong
Hur In-Gyung
Lee Joon-Yeop
Park Jeong-Bae
Sung Nak-Il
Lee Yong-Kook
Lee Joong-Hyun
Lee Young-Hyun
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Abstract
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Background : As our population in Korea ages, more postoperative pulmonary complications (PPCs) have recently developed. There have been several studies about the predictive factors for PPC, but any consensus has not been established. In this study, we reappraised the predictive factors for PPC after general anesthesia in a population from
Gyeong-ju, which was composed of elderly people.
Methods : We retrospectively investigated the incidence and predictive factors for PPC in 84 patients who underwent general anesthesia. We investigated gender, age, height, weight, BMI, smoking, underlying disease, underlying respiratory disease, malignancy, the laboratory findings (hemoglobin, albumin, arterial O2 saturation) and the pulmonary function tests of the patients.
Results : 84 patients were initially enrolled into the study, and PPC developed in 31 (36%) patients. The mean age of the enrolled patients was 66.515.1 years-old, so it shows the trend of an aging society. Three predictive factors were revealed that are independently associated with the PPC: site of operation (OR, 8.3), underlying disease (OR, 9.9) and serum albumin (OR, 4.0).
Conclusions : Among the statistically meaningful predictive factors, underlying disease and operation site are well
known from previous studies, but the albumin level < 3.5 g/dL is also meaningful, which is higher than the previous
reference level. It implies that the patient with a albumin level 3.0～3.5 g/dL can be classified into the high risk group.
Therefore, we should recognize that it is necessary to apply more strict reference levels in an aging population to reduce
the incidence of PPC.(Korean J Med 72:501-510, 2007)
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KEYWORD
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Postoperative complications, Predictive, Albumins
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