What diagnoses may make patients more seriously ill than they first appear? Mortality according to the Simple Clinical Score Risk Class at the time of admission compared to the observed mortality of different ICD9 codes identified on death or discharge.
BACKGROUND
The Simple Clinical Score (SCS) determined at the time of admission places acutely ill general medical patients into one of five risk classes associated with an increasing risk of death within 30 days. The cohort of acute medical patient that the SCS was derived from had, on average, four combinations of 74 groupings of ICD9 codes. This paper reports the ICD9 codes associated with the different SCS risk classes and identifies those ICD9 codes with a greater observed mortality than that of other patients in the same SCS risk class.


METHODS
Observational study.


METHODS
A small Irish rural hospital.


METHODS
The 30-day mortality rates of the 74 commonest ICD9 groupings coded at the time of discharge of 9214 consecutive acutely ill medical patients were compared with the mortality rates associated with their SCS risk class determined at the time of their admission.


RESULTS
There was no difference between the observed and the predicted mortality rates for very low risk patients regardless of ICD9 groupings, even though several of these patients suffered from all but two of the 34 ICD9 code groupings associated with an increased risk of death. Within the remaining four risk classes only 14 ICD9 groupings had an observed mortality greater from that of all other patients in the same SCS risk class.


CONCLUSIONS
The Simple Clinical Score (SCS) determined at the time of admission identifies patients at very low risk of death regardless of what diagnoses are subsequently made during their hospitalisation. Nevertheless, patients with a very low risk of death according to their SCS risk class may still have a life-threatening condition that requires treatment in hospital. For higher risk patients only 14 ICD9 code groupings were associated with an observed mortality greater than that of others in the same SCS risk group.
Kellett
John
J
Department of Medicine, Nenagh Hospital, Nenagh, County Tipperary, Ireland. jgkellett@eircom.net
Deane
Breda
B
D000208:Acute Disease / Q000401:mortality*; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D017052:Hospital Mortality; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D038801:International Classification of Diseases / Q000706:statistics & numerical data*; D007902:Length of Stay / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D010351:Patient Discharge / Q000706:statistics & numerical data*; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D012720:Severity of Illness Index