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      Incidence and risk factors for postoperative pneumonia following surgically treated hip fracture in geriatric patients: a retrospective cohort study

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          Abstract

          Objective

          Large sample investigations for risk factors for pneumonia in elderly patients after hip fracture surgeries are lacking. The purpose of this study is to determine the incidence and risk factors for postoperative pneumonia in geriatric patients following hip fracture operations.

          Methods

          A retrospective study of incidence and risk factors in a tertiary referral center between 2016 and 2020 was conducted. Geriatric patients who developed postoperative pneumonia after surgeries of hip fracture during hospitalization stay were defined as cases and those without as controls. Multivariate logistic regression model was used to evaluate risk factors for postoperative pneumonia.

          Results

          This study included 3147 patients, and 182 developed postoperative pneumonia, denoting the rate of 5.8%. In the multivariate analyses, age (OR 1.04; 95% CI 1.02–1.06), sex (males) (OR 2.27; 95% CI 1.64–3.13), respiratory disease (OR 3.74; 95% CI 2.32–6.04), heart disease (OR 1.68; 95% CI 1.14–2.47), cerebrovascular disease (OR 1.58; 95% CI 1.11–2.27), liver disease (OR 2.61; 95% CI 1.33–5.15), preoperative stay (OR 1.08; 95% CI 1.05–1.11) and general anesthesia (OR 1.61; 95% CI 1.15–2.27) were identified as independent risk factors for postoperative pneumonia.

          Conclusions

          This study identified several risk factors for pneumonia in geriatric patients after hip fracture operations, providing a viable preventive strategy for optimizing clinical conditions for reduction of postoperative pneumonia.

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          Most cited references42

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          Guidelines for the management of adults with hospital-acquired, ventilator-associated, and healthcare-associated pneumonia.

          , (2005)
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            Sarcopenia, Dynapenia, and the Impact of Advancing Age on Human Skeletal Muscle Size and Strength; a Quantitative Review

            Changing demographics make it ever more important to understand the modifiable risk factors for disability and loss of independence with advancing age. For more than two decades there has been increasing interest in the role of sarcopenia, the age-related loss of muscle or lean mass, in curtailing active and healthy aging. There is now evidence to suggest that lack of strength, or dynapenia, is a more constant factor in compromised wellbeing in old age and it is apparent that the decline in muscle mass and the decline in strength can take quite different trajectories. This demands recognition of the concept of muscle quality; that is the force generating per capacity per unit cross-sectional area (CSA). An understanding of the impact of aging on skeletal muscle will require attention to both the changes in muscle size and the changes in muscle quality. The aim of this review is to present current knowledge of the decline in human muscle mass and strength with advancing age and the associated risk to health and survival and to review the underlying changes in muscle characteristics and the etiology of sarcopenia. Cross-sectional studies comparing young (18–45 years) and old (>65 years) samples show dramatic variation based on the technique used and population studied. The median of values of rate of loss reported across studies is 0.47% per year in men and 0.37% per year in women. Longitudinal studies show that in people aged 75 years, muscle mass is lost at a rate of 0.64–0.70% per year in women and 0.80–00.98% per year in men. Strength is lost more rapidly. Longitudinal studies show that at age 75 years, strength is lost at a rate of 3–4% per year in men and 2.5–3% per year in women. Studies that assessed changes in mass and strength in the same sample report a loss of strength 2–5 times faster than loss of mass. Loss of strength is a more consistent risk for disability and death than is loss of muscle mass.
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              Prediction of postoperative pulmonary complications in a population-based surgical cohort.

              Current knowledge of the risk for postoperative pulmonary complications (PPCs) rests on studies that narrowly selected patients and procedures. Hypothesizing that PPC occurrence could be predicted from a reduced set of perioperative variables, we aimed to develop a predictive index for a broad surgical population. Patients undergoing surgical procedures given general, neuraxial, or regional anesthesia in 59 hospitals were randomly selected for this prospective, multicenter study. The main outcome was the development of at least one of the following: respiratory infection, respiratory failure, bronchospasm, atelectasis, pleural effusion, pneumothorax, or aspiration pneumonitis. The cohort was randomly divided into a development subsample to construct a logistic regression model and a validation subsample. A PPC predictive index was constructed. Of 2,464 patients studied, 252 events were observed in 123 (5%). Thirty-day mortality was higher in patients with a PPC (19.5%; 95% [CI], 12.5-26.5%) than in those without a PPC (0.5%; 95% CI, 0.2-0.8%). Regression modeling identified seven independent risk factors: low preoperative arterial oxygen saturation, acute respiratory infection during the previous month, age, preoperative anemia, upper abdominal or intrathoracic surgery, surgical duration of at least 2 h, and emergency surgery. The area under the receiver operating characteristic curve was 90% (95% CI, 85-94%) for the development subsample and 88% (95% CI, 84-93%) for the validation subsample. The risk index based on seven objective, easily assessed factors has excellent discriminative ability. The index can be used to assess individual risk of PPC and focus further research on measures to improve patient care.
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                Author and article information

                Contributors
                1192610664@qq.com
                zhuyanbin111@126.com
                875958634@qq.com
                862210381@qq.com
                1878251628@qq.com
                lixiuting2021@126.com
                drzhang2013@126.com
                Journal
                J Orthop Surg Res
                J Orthop Surg Res
                Journal of Orthopaedic Surgery and Research
                BioMed Central (London )
                1749-799X
                24 March 2022
                24 March 2022
                2022
                : 17
                : 179
                Affiliations
                [1 ]GRID grid.256883.2, ISNI 0000 0004 1760 8442, Department of Orthopaedic Surgery, The Third Hospital, , Hebei Medical University, ; No. 139 Ziqiang Road, Shijiazhuang, 050051 People’s Republic of China
                [2 ]GRID grid.452209.8, ISNI 0000 0004 1799 0194, Hebei Bone Research Institute, , Key Laboratory of Biomechanics of Hebei Province, ; Shijiazhuang, 050051 Hebei People’s Republic of China
                Article
                3071
                10.1186/s13018-022-03071-y
                8944015
                35331285
                3da459e3-99c4-4d1a-906e-a04c5dfa05d5
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 25 November 2021
                : 16 March 2022
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2022

                Surgery
                hip fracture,epidemiology,risk factors,geriatric population,postoperative pneumonia
                Surgery
                hip fracture, epidemiology, risk factors, geriatric population, postoperative pneumonia

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