Volume : 7, Issue : 5, May - 2018

Normative Spirometric Values and prediction equations in healthy non-smoking adult population of West Bengal.

Dr Joyashree Banerjee, Dr Pranab Kumar Dey, Dr Aparajita Ray, Dr Sayantani Bhattacharyyay, Dr Piyali Sahu, Prof Dr Anilbaran Singhamahapatra, Prof Dr Jharna Mukherjee

Abstract :

<p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;text-align:&#10;justify;text-justify:inter-ideograph;line-height:200%;mso-layout-grid-align:&#10;none;text-autospace:none"><b><span style="font-size:12.0pt;line-height:200%;&#10;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;color:#231F20;mso-ansi-language:EN-US;&#10;mso-bidi-language:AR-SA;mso-bidi-font-style:italic">Background</span></b><span style="font-size:12.0pt;line-height:200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;&#10;color:#231F20;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-bidi-font-weight:&#10;bold;mso-bidi-font-style:italic">:</span><span style="font-size:12.0pt;&#10;line-height:200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;color:#231F20;&#10;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-bidi-font-weight:bold">Normative values of spirometric data in eastern Indian population need to be </span><span style="font-size:12.0pt;line-height:200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;&#10;color:black;mso-themecolor:text1;mso-ansi-language:EN-US;mso-bidi-language:&#10;AR-SA;mso-bidi-font-weight:bold">revisited. On this background the present study is aimed to </span><span lang="EN-IN" style="font-size:12.0pt;line-height:&#10;200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;color:black;mso-themecolor:text1">determine the normal spirometric data and to generate prediction equations </span><span style="font-size:12.0pt;line-height:200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;&#10;color:black;mso-themecolor:text1;mso-ansi-language:EN-US;mso-bidi-language:&#10;AR-SA;mso-bidi-font-weight:bold">in young healthy non-smoking adults of eastern India. </span><span lang="EN-IN" style="font-size:12.0pt;line-height:200%;&#10;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;color:black;mso-themecolor:text1"><o:p></o:p></span></p> <p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;text-align:&#10;justify;text-justify:inter-ideograph;line-height:200%;mso-layout-grid-align:&#10;none;text-autospace:none"><b><span style="font-size:12.0pt;line-height:200%;&#10;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;color:black;mso-themecolor:text1;&#10;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-bidi-font-style:italic">Methods</span></b><span style="font-size:12.0pt;line-height:200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;&#10;color:black;mso-themecolor:text1;mso-ansi-language:EN-US;mso-bidi-language:&#10;AR-SA;mso-bidi-font-weight:bold;mso-bidi-font-style:italic">: </span><span lang="EN-IN" style="font-size:12.0pt;line-height:200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;&#10;color:black;mso-themecolor:text1">The spirometric values, estimated by electronic spirometer, model-RMS Helios-702in the Department of Physiology, R.G.Kar Medical College, Kolkata on1563subjects were analysed for the present study.</span><span style="font-size:12.0pt;line-height:200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;&#10;color:black;mso-themecolor:text1;mso-ansi-language:EN-US;mso-bidi-language:&#10;AR-SA;mso-bidi-font-weight:bold;mso-bidi-font-style:italic"><o:p></o:p></span></p> <p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;text-align:&#10;justify;text-justify:inter-ideograph;line-height:200%;mso-layout-grid-align:&#10;none;text-autospace:none"><b><span style="font-size:12.0pt;line-height:200%;&#10;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;color:black;mso-themecolor:text1;&#10;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-bidi-font-style:italic">Results</span></b><span style="font-size:12.0pt;line-height:200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;&#10;color:black;mso-themecolor:text1;mso-ansi-language:EN-US;mso-bidi-language:&#10;AR-SA;mso-bidi-font-weight:bold">: Spirometric variables (FVC, FEV1, and FEV1/FVC) have significant positive correlations with height, and significant negative correlation with age. Regression equations have been computed to predict spirometric variables from age and body height. <o:p></o:p></span></p> <p class="MsoNormal" style="margin-bottom:0in;margin-bottom:.0001pt;text-align:&#10;justify;text-justify:inter-ideograph;line-height:200%;mso-layout-grid-align:&#10;none;text-autospace:none"><b><span style="font-size:12.0pt;line-height:200%;&#10;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;color:black;mso-themecolor:text1;&#10;mso-ansi-language:EN-US;mso-bidi-language:AR-SA;mso-bidi-font-style:italic">Conclusion</span></b><span style="font-size:12.0pt;line-height:200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;&#10;color:black;mso-themecolor:text1;mso-ansi-language:EN-US;mso-bidi-language:&#10;AR-SA;mso-bidi-font-weight:bold;mso-bidi-font-style:italic">: </span><span style="font-size:12.0pt;line-height:200%;font-family:&quot;Times New Roman&quot;,&quot;serif&quot;;&#10;color:black;mso-themecolor:text1;mso-ansi-language:EN-US;mso-bidi-language:&#10;AR-SA;mso-bidi-font-weight:bold">Normative values and prediction equations for spirometric data was found to be mostly unchanged in Eastern India after two decades.<span style="mso-bidi-font-style:italic"><o:p></o:p></span></span></p>