At Leipzig University, preoperative pulmonary function testing has bee
n performed for about 3 years in order to detect and classify patients
at high pulmonary risk. During the postoperative period, the risk of
developing pulmonary complications is particularly high due to factors
influencing respiratory mechanics such as the supine position, pain,
residual effects of narcotic drugs, etc. It has often been emphasised
that an underlying ventilatory disturbance such as obstructive lung di
sease or smoking may enhance the postoperative pulmonary risk, althoug
h the extent of the influence of preoperative pulmonary diseases on th
e postoperative complication rate is still controversial. The predicti
on of postoperative lung function from preoperative spirometric values
is complicated by factors such as patient cooperation, pulmonary comp
lications secondary to aspiration, infection, peritonitis, etc., and b
y differing and therefore non-comparable postoperative care. For this
reason, the criteria for assessing pulmonary risk vary widely. Methods
. We examined 339 patients (mean age 59.3 years) preoperatively by qui
et and forced spirometry; in most cases we also measured airway resist
ance and functional residual capacity. We estimated the postoperative
lung function using the quadrant scheme of Miller and compared this ri
sk class with our spirometric diagnosis and the postoperative clinical
course. Results. According to our results, Miller's classification se
ems inadequately differentiated for patients with mild to moderate ven
tilatory disturbances. A relatively high percentage of these patients
were considered to have normal postoperative lung function. Some patie
nts with severely diminished pulmonary function were classified as hav
ing sufficient postoperative lung function. The number and severity of
pulmonary complications also corresponded better with the spirometric
diagnosis, which was made using all spirometric parameters and not on
ly vital capacity (VC) and 1-s forced expiratory volume (FEV1). We fou
nd that the percentage of primary respiratory complications increased
with deterioration of the preoperative spirometric values. To provide
a prognostic model combining both the advantages of using only a few p
arameters (FEV1, VC) and appropriate risk assessment, we propose a mod
ification of the Miller scheme consisting of five risk classes. The an
alysis of the respiratory therapy regimen was unsatisfactory because o
f discrepancies between the predicted pulmonary risk, the use of respi
ratory therapy, and the occurrence of pulmonary complications. Conclus
ions. For minimising perioperative pulmonary complications, respirator
y care (prophylaxis and therapy) adequate for the functional risk of t
he patient is necessary. We assume that intensive pre- and postoperati
ve respiratory care and therapy in patients with underlying reductions
in ventilatory function can help to avoid or reduce respiratory compl
ications. The modification of Miller's scheme proposed after evaluatin
g the postoperative course of our patients provides a differentiated p
rognostic model that allows the establishment of an appropriate and ec
onomical therapeutic regimen of perioperative pulmonary care.