Total laryngectomy: pre- and intrasurgical variables of infection risk.
Postoperative infection has influence on costs, quality of life, and outcome of the disease. It is suspected that post-total laryngectomy infections have increased in frequency and seriousness, because of the failure of the preservation protocol or the previous radiotherapy, making rescue surgery necessary. The objective of this study was to develop a predictive model of infection based on the pre- and intrasurgical variables considered risky. One hundred fifty five patients with E III-IV laryngeal cancer, with 24.8:1 male to female ratio (mean age, 58 years) who underwent total laryngectomy were evaluated for uni- and multivariate analysis of age, sex, histological grade, primary or recurrent disease, tobacco, alcohol, diabetes, tuberculosis/chronic emphysema, red and white cell counts, erythrosedimentation rate (ESR), albumin, chemotherapy, neck radiotherapy and/or previous surgery, confinement days, type and time of surgery, which were factors in the infection event. A predictive model of infection was developed and included albuminemia (<3.5 g%), >1 liter of alcohol daily, and exclusive surgery of the primary. The sensitivity was 90.5% and the specificity 68%. The variance reached 29.6%. The causes of infection were multiple, having analyzed only 30% of them. However, the resulting model was classified correctly in 83.2% of cases. A careful preoperative assessment, an adjusted planning of the surgery, an appropriate use of antibiotics, and a meticulous operative technique are needed to prevent infection.
González Aguilar
O
O
Department of Surgery, Marie Curie Hospital, Buenos Aires, Argentina.
Pardo
H A
HA
Vannelli
A
A
Simkin
D O
DO
Rossi
A
A
Rubino
A
A
Simkin
D
D
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016009:Chi-Square Distribution; D005260:Female; D006801:Humans; D007432:Intraoperative Period; D007822:Laryngeal Neoplasms / Q000601:surgery*; D007825:Laryngectomy; D007902:Length of Stay / Q000706:statistics & numerical data; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012372:ROC Curve; D012307:Risk Factors; D012680:Sensitivity and Specificity; D013530:Surgical Wound Infection / Q000209:etiology* / Q000401:mortality / Q000517:prevention & control