Hello all,
doing a study on antibiotics and hypoglycemia. I am pasting my code below for SAS.
I was doing great and had no errors, until the very last step of logistic regression analysis: I get the following error there:
ERROR: There are no valid observations.
NOTE: The SAS System stopped processing this step because of errors.
NOTE: There were 128052 observations read from the data set WORK.DATA5.
Why am I getting no valid observations? for this step when there are 128052 observations read.. also I am able to get frequencies etc without any issues.. someone please help.. I am trying to get the odds ratios and its giving me an error at the very last step.....
I post the code below:
proc import DATAFILE="/home/u50297477/2014-2020.xlsx"
OUT=data DBMS=XLSX
REPLACE;
run;
data data2(rename=(patientage=patientage1 weightofpatient=weightofpatient1
bmi=bmi1 glucosevalue=glucosevalue1 dayofhospital=dayofhospital1
highestglucose=highestglucose1 lowestglucose=lowestglucose1));
set work.import;
if mrn="MRN" then
delete;
run;
data data3(drop=patientage1 weightofpatient1 bmi1 glucosevalue1 dayofhospital1
highestglucose1 lowestglucose1);
set data2;
patientage=input(patientage1, best.);
WeightOfPatient=input(WeightOfPatient1, best.);
BMI=input(BMI1, best.);
GlucoseValue=input(GlucoseValue1, best.);
DayOfHospital=input(DayOfHospital1, best.);
HighestGlucose=input(HighestGlucose1, best.);
LowestGlucose=input(LowestGlucose1, best.);
run;
*Subset based on age;
data data4;
set data3;
where (18 <=patientage <=80);
run;
*verify;
/*
proc means data = data4 maxdec=0;
var patientage;
run;
*/
data data5;
set data4;
only_date=datepart(AdmitDtm);
month_part=month(only_date);
year_part=year(only_date);
hour_part=hour(AdmitDTM);
format only_date date9.;
run;
data data5;
set data5;
if 0<=hour_part<=6 then
Timeofday=0;
else if 7<=hour_part<=12 then
Timeofday=1;
else if hour_part > 12 then
Timeofday=2;
if GenderCode='M' then
Sex=1;
else
Sex=0;
if RaceCode='Black/African Americ' then Race=1;
else if RaceCode='White' then Race=2;
else if RaceCode='Asian Indian' then Race=3;
else if RaceCode='Chinese' then Race=4;
else if RaceCode='Other Race' then Race=5;
else Race = 0;
run;
data data5;
set data5;
if PregnantYN in ("No","Not applicable","Unknown","") then Pregnant = 0;
else if PregnantYN = "Yes" then Pregnant = 1;
if 0<=BMI<=18.50 then BodyMassIndex=0;
else if 18.51<=BMI<=25.00 then BodyMassIndex=1;
else if 25.01<=BMI<=30.00 then BodyMassIndex=2;
else if BMI>30.01 then BodyMassIndex=3;
if 18<=PatientAge<=65 then Age=0;
else if 66<=PatientAge<=75 then Age=1;
else if PatientAge>75 then Age=2;
if BasalInsulin='Yes' OR ShortActingInsulin='Yes' OR PremixInsulin='Yes' then Insulin=1;
if BasalInsulin='No' AND ShortActingInsulin='No' AND PremixInsulin='No' then Insulin=0;
if OnSulfonylurea='Yes' then Sulfonylurea=1;
else Sulfonylurea=0;
if On_Prandin='Yes' then Prandin=1;
else Prandin=0;
if On_Empagliflozin='Yes' OR On_Dapagliflozin='Yes' then SGLT2=1;
if On_Empagliflozin='No' AND On_Dapagliflozin='No' then SGLT2=0;
if On_Metformin='Yes' then Metformin=1;
else Metformin=0;
if On_Sitagliptin='Yes' then DPP4=1;
else DPP4=0;
run;
/*Correct messy date columns*/
data data5(drop= ErtapenemStartDate BactrimStartDate LinezolidStartDate PiperacillinStartDate CephalexinStartDate
MeropenemStartDate ClindamycinStartDate AmoxicillinStartDate CeftriaxoneStartDate AzithromycinStartDate
LevofloxacinStartDate CiprofloxacinStartDate VancomycinStartDate MetronidazoleStartDate AmpicillinStartDate
CefepimeStartDate UnasynStartDate GentamicinStartDate CefazolinStartDate DaptomycinStartDate);
set data5;
if ErtapenemStartDate ne "" and length(strip(ErtapenemStartDate)) < 10 then x1 = input(ErtapenemStartDate, best.);
if BactrimStartDate ne "" and length(strip(BactrimStartDate)) < 10 then x2 = input(BactrimStartDate, best.);
if LinezolidStartDate ne "" and length(strip(LinezolidStartDate)) < 10 then x3 = input(LinezolidStartDate, best.);
if PiperacillinStartDate ne "" and length(strip(PiperacillinStartDate)) < 10 then x4 = input(PiperacillinStartDate, best.);
if CephalexinStartDate ne "" and length(strip(CephalexinStartDate)) < 10 then x5 = input(CephalexinStartDate, best.);
if MeropenemStartDate ne "" and length(strip(MeropenemStartDate)) < 10 then x6 = input(MeropenemStartDate, best.);
if ClindamycinStartDate ne "" and length(strip(ClindamycinStartDate)) < 10 then x7 = input(ClindamycinStartDate, best.);
if AmoxicillinStartDate ne "" and length(strip(AmoxicillinStartDate)) < 10 then x8 = input(AmoxicillinStartDate, best.);
if CeftriaxoneStartDate ne "" and length(strip(CeftriaxoneStartDate)) < 10 then x9 = input(CeftriaxoneStartDate, best.);
if AzithromycinStartDate ne "" and length(strip(AzithromycinStartDate)) < 10 then x10 = input(AzithromycinStartDate, best.);
if LevofloxacinStartDate ne "" and length(strip(LevofloxacinStartDate)) < 10 then x11 = input(LevofloxacinStartDate, best.);
if CiprofloxacinStartDate ne "" and length(strip(CiprofloxacinStartDate)) < 10 then x12 = input(CiprofloxacinStartDate, best.);
if VancomycinStartDate ne "" and length(strip(VancomycinStartDate)) < 10 then x13 = input(VancomycinStartDate, best.);
if MetronidazoleStartDate ne "" and length(strip(MetronidazoleStartDate)) < 10 then x14 = input(MetronidazoleStartDate, best.);
if AmpicillinStartDate ne "" and length(strip(AmpicillinStartDate)) < 10 then x15 = input(AmpicillinStartDate, best.);
if CefepimeStartDate ne "" and length(strip(CefepimeStartDate)) < 10 then x16 = input(CefepimeStartDate, best.);
if UnasynStartDate ne "" and length(strip(UnasynStartDate)) < 10 then x17 = input(UnasynStartDate, best.);
if GentamicinStartDate ne "" and length(strip(GentamicinStartDate)) < 10 then x18 = input(GentamicinStartDate, best.);
if CefazolinStartDate ne "" and length(strip(CefazolinStartDate)) < 10 then x19 = input(CefazolinStartDate, best.);
if DaptomycinStartDate ne "" and length(strip(DaptomycinStartDate)) < 10 then x20 = input(DaptomycinStartDate, best.);
run;
data data5;
set data5;
rename x1 = ErtapenemStartDate x2 = BactrimStartDate x3 = LinezolidStartDate x4 = PiperacillinStartDate x5 = CephalexinStartDate
x6 = MeropenemStartDate x7 = ClindamycinStartDate x8 = AmoxicillinStartDate x9 = CeftriaxoneStartDate x10 = AzithromycinStartDate
x11 = LevofloxacinStartDate x12 = CiprofloxacinStartDate x13 = VancomycinStartDate x14 = MetronidazoleStartDate x15 = AmpicillinStartDate
x16 = CefepimeStartDate x17 = UnasynStartDate x18 = GentamicinStartDate x19 = CefazolinStartDate x20 = DaptomycinStartDate;
run;
/*Create dummy variables based on these date columns*/
data data5;
set data5;
array dates{20} BactrimStartDate ErtapenemStartDate LinezolidStartDate PiperacillinStartDate CephalexinStartDate
MeropenemStartDate ClindamycinStartDate AmoxicillinStartDate CeftriaxoneStartDate AzithromycinStartDate
LevofloxacinStartDate CiprofloxacinStartDate VancomycinStartDate MetronidazoleStartDate AmpicillinStartDate
CefepimeStartDate UnasynStartDate GentamicinStartDate CefazolinStartDate DaptomycinStartDate;
array dummy{20} Bactrim Ertapenem Linezolid Piperacillin Cephalexin Meropenem Clindamycin Amoxicillin Ceftriaxone Azithromycin
Levofloxacin Ciprofloxacin Vancomycin Metronidazole Ampicillin Cefepime Unasyn Gentamicin Cefazolin Daptomycin;
do i = 1 to dim(dates);
if .< dates{i} < dayofhospital then dummy{i} = 1;
else dummy{i} = 0;
end;
if find(On_antibiotic, 'Doxycycline')>0 then Doxycycline=1;
else Doxycycline=0;
run;
data data5;
set data5;
if 0<=GlucoseValue<=69 then Hypoglycemia=1;
else if glucoseValue=> 70 then Hypoglycemia=0;
if 55<=GlucoseValue<=69 then ClassHypoglycemia=1;
else if 0<=glucoseValue<=54 then ClassHypoglycemia=2;
else if Glucosevalue=>70 then ClassHypoglycemia=0;
run;
data data5;
set data5;
array cols{20} Bactrim Ertapenem Linezolid Piperacillin Cephalexin Meropenem Clindamycin Amoxicillin Ceftriaxone Azithromycin
Levofloxacin Ciprofloxacin Vancomycin Metronidazole Ampicillin Cefepime Unasyn Gentamicin Cefazolin Daptomycin;
do i=1 to dim(cols);
if cols{i} = 1 or Doxycycline = 1 then Antiibiotic = 1;
else if cols{i} = 0 then Antiibiotic = 0;
end;
Run;
data data5;
set data5;
if TubeFeed='Yes' then TF=1;
else TF=0;
if Regular='Yes' then Diet=1;
else Diet=0;
if Bactrim=1 OR Amoxicillin=1 OR Cephalexin=1 then OralAntibiotic=1;
else OralAntibiotic=0;
run;
data data5;
set data5;
if Metronidazole=1 then nitroimidazole=1;
else nitroimidazole=0;
if Levofloxacin=1 OR Ciprofloxacin=1 then Floroquinolone=1;
else Floroquinolone=0;
if Clindamycin=1 then Lincosamide=1;
else Lincosamide=0;
if Doxycycline=1 then Tetracycline=1;
else Tetracycline=0;
if Vancomycin=1 then Glycopeptide=1;
else Glycopeptide=0;
if Daptomycin=1 then Lipopeptide=1;
else lipopeptide=0;
if Azithromycin=1 then Macrolide=1;
else Macrolide=0;
if Bactrim=1 then Sulfonamides=1;
else Sulfonamides=0;
if Gentamicin=1 then Aminoglycosides=1;
else Aminoglycosides=0;
if Cephalexin=1 OR Ceftriaxone=1 OR Cefepime=1 OR Cefazolin=1 OR Cefepime=1 then Cephalosporin=1;
else Cephalosporin=0;
if Piperacillin=1 OR Amoxicillin=1 OR Ampicillin=1 OR Unasyn=1 then Penicillin=1;
else if Piperacillin=0 OR Amoxicillin=0 OR Ampicillin=0 OR Unasyn=0 then Penicillin=0;
if Ertapenem=1 OR Meropenem=1 then Carbapenem=1;
else Carbapenem=0;
run;
proc freq data=data5;
tables hypoglycemia*Antiibiotic;
run;
data data5;
set data5;
where Pneumonia in ("No","Yes");
run;
proc logistic data= data5 descending;
class race (ref="0") RenalDisease (ref="No") HistoryOfDiabetes (ref="No") SGLT2 (ref="0")
BodyMassIndex (ref="0") sex (ref="0") Insulin (ref="0") Prandin (ref="0")
Metformin (ref="0") Sulfonylurea (ref="0")
Diet (ref="0") TPN (ref="No") Age (ref="0")
sepsis (ref="No") Pneumonia (ref="No") UTI (ref="No")
Cellulitis (Ref="No");
Model hypoglycemia=antiibiotic race sex BodymassIndex DayofHospital
HistoryofDiabetes RenalDisease Insulin Prandin Metformin SGLT2 Sulfonylurea Diet TPN Age Sepsis Pneumonia
UTI Cellulitis;
run;
