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Mendeley readers
| Title |
The effect of passive exposure to tobacco smoke on perioperative respiratory complications and the duration of recovery
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|---|---|
| Published in |
Brazilian Journal of Anesthesiology, January 2016
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| DOI | 10.1016/j.bjane.2015.03.003 |
| Pubmed ID | |
| Authors |
Esen Simsek, Yucel Karaman, Mustafa Gonullu, Zeki Tekgul, Meltem Cakmak |
| Abstract |
The incidence of perioperative respiratory complications and postoperative care unit recovery time investigated in patients with passive tobacco smoke exposure according to the degree of exposure. Total 270 patients ranging in age from 18 to 60 years with the ASA physical status I or II exposed and not exposed to passive tobacco smoke received general anesthesia for various elective surgical operations evaluated for the study. Patients divided into two groups as exposed and non-exposed to passive tobacco smoke, those exposed to passive smoke are also divided into two groups according to the degree of exposure. Patients taken to the postoperative care unit (PACU) at the end of the operation and monitorized until Modified Aldrete's Scores became 9 and more. Respiratory complications evaluated and recorded in intraoperative and postoperative period. A total of 251 patients were enrolled; 63 (25.1%) patients had airway complications, 11 (4.4%) had complications intraoperatively and 52 (20.7%) patients had complications postoperatively. There has been found significant relation with passive tobacco smoke exposure and high incidences of perioperative and postoperative respiratory complications. The risk of cough, desaturation and hypersecretion complications were found to be increased depending on the degree of exposure. There was significant relation between the degree of passive smoke exposure and the duration of PACU stay. Passive tobacco smoke exposed general anesthesia receiving patients also regarding to the degree of exposure having high rates of perioperative respiratory complications and prolongation of PACU stays when compared with unexposed patients. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 21% |
| Student > Master | 5 | 15% |
| Researcher | 2 | 6% |
| Student > Ph. D. Student | 1 | 3% |
| Lecturer | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 16 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 29% |
| Nursing and Health Professions | 4 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 17 | 50% |