Certain items that may appear in patterns are more efficient than others. It is more efficient to use a character class like [aeiou] than a set of alternatives such as (a|e|i|o|u). In general, the simplest construction that provides the required behaviour is usually the most efficient. Jeffrey Friedl's book contains a lot of discussion about optimizing regular expressions for efficient performance.
   When a pattern begins with .* and the PCRE_DOTALL  option  is
   set,  the  pattern  is implicitly anchored by PCRE, since it
   can match only at the start of a subject string. However, if
   PCRE_DOTALL
   is not set, PCRE cannot make this optimization,
   because the . metacharacter does not then match  a  newline,
   and if the subject string contains newlines, the pattern may
   match from the character immediately following one  of  them
   instead of from the very start. For example, the pattern
   (.*) second
   matches the subject "first\nand second" (where \n stands for
   a newline character) with the first captured substring being
   "and". In order to do this, PCRE  has  to  retry  the  match
   starting after every newline in the subject.
  
If you are using such a pattern with subject strings that do not contain newlines, the best performance is obtained by setting PCRE_DOTALL, or starting the pattern with ^.* to indicate explicit anchoring. That saves PCRE from having to scan along the subject looking for a newline to restart at.
   Beware of patterns that contain nested  indefinite  repeats.
   These  can  take a long time to run when applied to a string
   that does not match. Consider the pattern fragment
   (a+)*
  
This can match "aaaa" in 33 different ways, and this number increases very rapidly as the string gets longer. (The * repeat can match 0, 1, 2, 3, or 4 times, and for each of those cases other than 0, the + repeats can match different numbers of times.) When the remainder of the pattern is such that the entire match is going to fail, PCRE has in principle to try every possible variation, and this can take an extremely long time.
   An optimization catches some of the more simple  cases  such
   as
   (a+)*b
   where a literal character follows. Before embarking  on  the
   standard matching procedure, PCRE checks that there is a "b"
   later in the subject string, and if there is not,  it  fails
   the  match  immediately. However, when there is no following
   literal this optimization cannot be used. You  can  see  the
   difference by comparing the behaviour of
   (a+)*\d
   with the pattern above. The former gives  a  failure  almost
   instantly  when  applied  to a whole line of "a" characters,
   whereas the latter takes an appreciable  time  with  strings
   longer than about 20 characters.