Description

Page and Houlding developed a nomogram for predicting a male patient's fertility based on spermatozoal number, motility and head normalcy. 


Nomogram components:

(1) column 1: spermatozoal number

(2) column 2: intermediate state determined by drawing a line from column 1 to 3

(3) column 3: percent motile spermatozoa 2 hours after ejaculation

(4) column 4: fertility index, determined by a line drawn from column 2 to column 5

(5) column 5: normal head forms in percent

 

Component

Values

Data Range

Column Display

spermatozoal number

millions per mL

10 (and under) to 80 (and over)

 

intermediate state

unitless

0 to 19

linear

motile spermatozoa

percent

10 (and under) to 55 (and over)

nonlinear intervals

fertility index

unitless

0.1 to 80

log10

normal head forms

percent

75 (and under) to 88 (and over)

possibly log10

 

value for column 2 from column 1 and 3 =

= (-0.003086 * ((motile sperm in percent)^2)) + (0.404984 * (motile sperm in percent)) + (-0.001146 * ((sperm number in millions)^2)) + (0.2374 * (sperm number in millions)) – 5.686822

 

log10(value for fertility index) =

= (0.102068 * (value from column 2)) + B

 

Percent Head Normalcy

value for B

75 and under

-1

76-80

(0.13435 * (percent normal)) – 10.94573

81 – 88 (and over)

(0.0251 * (percent normal)) – 2.201767

 

fertility index =

= 10^(log10 value)

 

Interpretation:

• minimum fertility index: 0.1

• maximum fertility index: 80

 

Fertility Index

Fertility

0.1 to 5

probably infertile

5 to 50

possibly fertile

50 to 80

fertile

 

NOTE: The value for the fertility index I get by this method differs a little from that given by the nomogram, but it looks close enough for clinical use. The calculation of the column 2 value is close to that given by the nomogram. The problem appears to be in the calculation of the log10 value with the deviation amplified by the exponential.


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