Update app.py

app.py

@@ -58,6 +58,7 @@ if 'data' not in pn.state.cache.keys():
     df['ASC-H'] = df['ASC-H']*100
     df = df.rename(columns={'index': 'people'})
     df = df.rename(columns={'HPV/ASC-US': 'hrHPV/ASC-US rate (%)'})
+    df = df.rename(columns={'HPV/population': 'hrHPV Prevalence (%)'})
     #df.at[0, 'Number'] = 151
     df.iat[0, 5] = 2.25
     df = df[~((df['people'].str.contains('ytolog')) & (df['Number'] < 1000))]
@@ -456,12 +457,40 @@ def labres(column_changer):
         elif (hrhpv_ascus < 20) or (hrhpv_ascus > 70):
             lab_comment = f"Latest laboratory result value is {hrhpv_ascus:.2f}%, performance follow up and global laboratory practice revision is advised."
             lab_comment_2 = ""
+
+    #HPV Prevalence (%)
+    #hrHPV/ASC-US ratio (%)
+    elif column_changer == col_options[5]:
+        abs_results = df[df['people'] == 'KGYC']
+        hrhpv_ascus = abs_results['hrHPV Prevalence (%)'].iloc[len(abs_results)-1]
+
+        descript = "**Description:** *The hrHPV/ASC-US rate represents the high-risk HPV positive ASC-US cases among all ASC-US diagnoses. The literature reference value is 36,6%, a rate < 30% and > 60% could indicate problems with laboratory protocol or changes in population risk factors.*<br><br>"
+        
+        if 30 < hrhpv_ascus < 60:
+            lab_comment = f"Latest record of laboratory result is within laboratory goal zone {hrhpv_ascus:.2f}%. "
+            lab_comment_2 =""
+        elif 20 < hrhpv_ascus < 30:
+            lab_comment = f"Latest record of laboratory result is in laboratory borderline zone. {hrhpv_ascus:.2f}%."
+            if (abs_results[column_changer].iloc[len(abs_results)-1] < abs_results[column_changer].iloc[len(abs_results)-2]):
+                lab_comment_2 = f"A decreasing trend can be observed since last year, a lower than 30% rate could indicate problems with laboratory protocol or changes in population risk factors."
+            else:
+                lab_comment_2 =""
+        elif 60 < hrhpv_ascus < 70:
+            lab_comment = f"Latest record of laboratory result is in laboratory borderline zone {hrhpv_ascus:.2f}%."
+            if (abs_results[column_changer].iloc[len(abs_results)-1] > abs_results[column_changer].iloc[len(abs_results)-2]):
+                lab_comment_2 = f"An increasing trend can be observed since last year, a higher than 60% rate could indicate problems with laboratory protocol or changes in population risk factors."
+            else:
+                lab_comment_2 =""
+        elif (hrhpv_ascus < 20) or (hrhpv_ascus > 70):
+            lab_comment = f"Latest laboratory result value is {hrhpv_ascus:.2f}%, performance follow up and global laboratory practice revision is advised."
+            lab_comment_2 = ""
     
     lab_comment_6 = lab_comment_6 if 'lab_comment_6' in locals() else []
     return pn.pane.Markdown(f""" ##  {column_changer}: 
     {descript} {lab_comment} {lab_comment_2} 
     {lab_comment_3} {lab_comment_4} {lab_comment_5} {lab_comment_6}
     """, sizing_mode ='stretch_both', styles = {'font-size':fpx})
+
 inter_labres = pn.bind(labres, column_changer)